(3) LI J»0 SO A STUDY OF VEHICLE FLEET MANAGEMENT IN GOVERNMENT INSTITUIONS IN SRI LANKA P. A. Ananda Weerawansa (06/ 8882) LIBRARY tf>!VERSITY OF MORATUWA. SRI IABIU MORATUWA Thesis submitted in partial fulfillment of the requirement for the degree Master of Transportation Department of Civil Engineering r 1 / University of Moratuwa Sri Lanka " T W 9/863 (rO t* C8- y University of Moratuwa 94863 DECLARATION "I declare that this is my own work and this thesis/dissertation does not incorporate without acknowledgement any material previously submitted for a Degree or Diploma in any University or other institute of higher learning and to the best of my knowledge and belief it does not contain any material previously published or written by another person except where the acknowledgement is made in the text" "I have supervised and accepted this thesis for the submission of the degree." Prof Amal S. Kumarage Head of the Department Transport and Logistics Management Faculty of Engineering University of Moratuwa P.A. Ananda Weerawansa Date: Abstract There are 322 government institutions under Sri Lankan government. More than 95% out of them have their own vehicle fleet. In their institutions, the vehicle fleets has been managed by one of commissioners, by a director or a transport officer appointed by the head of the department. Though there are large vehicle fleets belong to the government institutions, there are no proper fleet management policies required in an efficient fleet management. There are about 60% - 70% of vehicles aged over lOyears or 300,000km are used in active vehicle fleet without any proper replacement policy. This causes unnecessary repair costs and low reliability which leads to poor transport supply against demand. Due to lack of proper preventive maintenance policies, vehicle repair and maintenance costs as well as downtime costs are increased. In addition; frequent occurrence of unnecessary repairs, low fleet reliability and low usage will prevail. In recent times, the government has engaged in large scale development programs implemented through government institutions. This has increased the transport demand significantly. In order to fulfill this higher transport demand a proper vehicle fleet replacement policy, a timely preventive maintenance schedule, proper vehicle fleet data recording system and regular use of information technology should be applied to reduce the repairs and maintenance cost excessive fuel cost and the downtime. Further to above, absence of a proper vehicle fleet replacement policy, a proper preventive maintenance plan, accurate data recording system and lack of staff training facilities may cause a deficient and poor vehicle fleet management in government institutions. If immediate solutions are not found for above deficiencies in fleet management, the entire government fleet management will be in jeopardy. ACKNOWLEDGEMENT I express my deepest gratitude to Professor Amal S. Kumarage; Head of the Department of Logistics and Transport, University of Moratuwa for guidance, valuable suggestions and put me to correct path to make this thesis successful. I would like to extend my special thanks to Professor J.M.S.J.Bandara Professor of Civil Engineering, University of Moratuwa, Dr Wasantha Kumara; Course Coordinator of M/Eng and MSC in Transportation and the academic and non-academic staff of the Department of Civil Engineering for their continuous support during the period of my research. I'm grateful to the Department of Agrarian Development for sponsoring me for this course and granting me leave. Finally, I wish to express my sincere thanks to my loving wife Jenita for sharing all my pains and joys, and my ever loving son Ruchira and my loving brother Dr Gamini Palihawadana for valuable courage and support given to me all the times. This thesis is dedicated especially to my beloved parents. Abbreviation AMW - Associated Motor Ways CC - Cubic capacity CEYPETCO - Ceylon Petroleum Cooperation CIF - Cost Insurance Freight DIMO - Diesel and Motor Engineering EFI - Electronic Fuel Injection IOC - Indian Oil Company NPA - National procurement agency PM - Particular matter SUV - Sport utility vehicle TEC - Technical Evaluation Committee UNO - United Nations Organization UML - United Motors Lanka VOC - Vehicle Operating Cost Table of Contents Declaration i Abstract ii Acknowledgement iii Abbreviation iv Table of content v List of Tables : viii List of figures vii Chapter 1 VEHICLE FLEET MANAGEMENT IN GOVERNMENT INSTITUTIONS 1 1.0 Introduction 1 1.1 Background 2 1.2 The Objective and the scope of the study 4 1.3 Methodology 5 1.4 Vehicle fleet size 7 1.5 Type of Vehicles 8 1.6 Staffing 10 1.7 Recruitment of Drivers 11 1.8 Diagnosis of repairs 11 1.9 Out-sourcing of Repair and Maintenance 11 1.10 Costing and Budgeting 12 1.11 Engine capacities and Different makes 12 1.12 Fleet Fuelling Policy 13 1.13 Training 13 1.14 Vehicle Assignment 13 1.15 Prices and Availability of Parts and Labour 13 1.16 Documents in Government Institute use for Fleet Management 17 1.16.1 Certificate of Registration of Motor Vehicle 17 1.16.2 Running Chart 17 1.16.3 Vehicle Log book 17 1.16.4 Vehicle Inventory Management System 17 Chapter 2 LITERATURE REVIEW . 18 2.1 Cost Verses Age 18 2.2 Downtime Verses Age 18 2.3 New Vehicle Purchasing Restrictions 19 2.4 Fleet Vehicle Purchasing Process is Competition but Vehicle Selecting Criteria could be improved 21 2.5 Fleet Size 22 2.6 In South African Government; a proper fleet management has proven Cost Reduction...22 2.7 Fuel Economy Vs Age 23 2.8 Major Repair Cost 25 2.9 Repair Cost and Age 25 2.10 Old Age Vehicles Affect the Air Pollution 26 2.11 Government Vehicle Purchasing and Repairs 29 Chapter 3 DATA ON VEHICLE FLEET MANAGEMENT IN GOVERNMENT INSTITUTES 31 3.1 Sources of Data 33 3.2 Vehicle Fleet Survey 34 3.3 Age 34 3.4 Annual Usage 34 3.5 Fuel Consumption 34 3.6 Repair cost 35 3.7 Downtime 37 3.8 Vehicle Replacement 38 3.9 Preventive Maintenance Data 38 Chapter 4 ANALYSIS OF VEHICLE FLEET MANAGEMENT IN GOVERNMENT INSTITUIONS 39 4.1 Fleet Classification 40 4.2 Downtime vs. Age 41 v i 4.3 Annual Usage vs. Age 42 4.4 Annual major repair cost vs. Age 44 4.5 Fuel Consumption vs. Age 45 4.6 Average Downtime per vehicle 46 4.7 Maintenance Cost/Km per vehicle 47 4.8 Average Annual Major Repair Cost 48 4.9 Average Annual Usage of Vehicles 49 4.10 Mobile Air Emission Standard 50 4.11 Use proper data base for Storage of necessary vehicle data 50 4.12 Comparison of Variable Cost 50 Chapter 5 CONCLUSION 52 Chapter 06 RECOMMENDATION 57 Reference 59 Appendix 1 60 Vehicle Log book 60 Appendix II 65 Maintenance Record Card 67 Manufacturers recommended maintenance schedule 68 APPENDIX III 70 Value of a brand new L200 4D56 double cab in year 1995 70 Value of the engine of L200 4D56 in 2008 71 APPENDIX IV 72 Government fuel order 72 APPENDIX V 73 Questionnaire 73 APPENDIX VI 82 Summary of Data Collection 82 v i i List of Tables Table 1.1 Vehicle fleet size 7 Table 2.1 Comparison of vehicle price (Diesel Vs. Petrol) 20 Table 2.2 Average Emission Factors of vehicles 27 Table 2.3 Estimation of CO2 Emission 27 Table 2.4 Comparison of specification for Sulphur in diesel fuel 28 Table 3.1 Condition and Performance ratings of the Vehicles below 5 years 32 Table 4.1 Average Downtime 46 Table 4.2 Average Annual Major Repair Cost per vehicle 48 Table 4.3 Comparison of Variable cost of Double cabs (New & Old) 51 Table 6.1 Vehicle Replacement Criteria 58 viii List of Figures Figure 1.1 Grounded Pajero due to no proper inventory management system 3 Figure 1.2 Grounded car due to no proper inventory management system 4 Figure 1.3 Methodology 5 Figure 1.4 Fleet size 8 Figure 1.5 Staffing 10 Figure 1.6 Active Truck Fleet 15-20 years old 14 Figure 1.7 Double cab 0-5 years old 15 Figure 1.8 Grounded car 15 Figure 1.9 Grounded vehicles 16 Figure 2.1 Major repairs which affect downtime 19 Figure 2.2 Toyota Land Cruiser with high fuel consumption and VOC 21 Figure 2.3 Carburettor fuel system 24 Figure 2.4 EFI System 24 Figure 2.5 Inline pumps 24 Figure 2.6 Rotary type pumps 24 Figure 2.7 Common Rail Type 25 Figure 2.8Air Pollution 26 Figure 2.9 20 Year old cars - still in active vehicle fleet 29 Figure 2.10 25 Year old Jeep - still in active vehicle fleet 30 Figure 2.11 45 Year old lorry - still in active vehicle fleet 30 Figure 3.1 Fuel efficiency of double cabs 35 Figure 3.2 Average cost per Km for Maintenance of Cars 36 Figure 3.3 15 years of age Nissan Patrol jeep undergoing major repairs 36 Figure 3.4 15 years of age vehicle undergoing major repairs 37 Figure 4.1 Fleet Classification 40 Figure 4.2 Downtime vs. Age 41 Figure 4.3 Annual Usage vs. Age 42 Figure 4.4 Annual major repair cost vs. Age 44 Figure 4.5 Fuel Consumption vs. Age 45 Figure 4.6 Average Downtime per vehicle 46 Figure 4.7 Maintenance Cost/Km per vehicle 47 Figure 4.8 Average Annual Major Repair Cost 48 Figure 4.9 Average Annual Major Usage of vehicles 49 Figure 4.10 Comparison of Variable cost of Double cabs (Old & New) in year 2008 51 ix Chapter 1 VEHICLE FLEET M A N A G E M E N T IN G O V E R N M E N T INSTITUTIONS 1.0 Introduction The government of Sri Lanka has a number of ministries, departments, statutory bodies and semi government institutions. The development and administration programs of these institutes are undertaken by government departments and other institutes. The mobility is playing a vital role in functioning of these institutes effectively. To facilitate for the mobility, central government has provided vehicle fleets for necessary institutes. 95% of government institutions have their own motor vehicle fleets and the rest of other institutes have outsourced for their transportation. The fleet consistence pattern of the government institutions vary according to their needs and wants relating to their services. There are various vehicle types in these fleets and most of them have cars, jeeps, double cabs and lorries etc, while a few have motorcycles, vans and buses. 99% of these fleets are consisted of gasoline powered cars where as jeeps, double cabs and lorries powered by diesel. In each and every year, government allocates approximately 4.5% of its annual budget on fleet management according to the finance report published by the general treasury. As the state income has declined since the last decade, government has decided to cut down the expenditure for purchasing new vehicles. Especially the allocated budget does not match with the existing prices of new vehicles. When the government vehicle fleets are considered; 60% - 70% are old. This means that these old aged vehicles have exceeded the active fleet age. They are ageing up to 20 years. Due to this situation, maintenance, repair and operation costs of them have gone up remarkably. The main reason for this is that the old vehicles have to be repaired very often. The downtimes of them are very high and they take more time to travel. They are less fuel efficient as well. On the other hand, the environmental pollution caused by the emissions of these vehicles is very high. Further, these old vehicles cause incomplete combustion. Therefore, they emit more CO (Carbon Monoxide) to the atmosphere. CO is a greenhouse gas that increases the global warming and creates health problems to the society. Though the government institutions have vehicle fleets from 1-20 years old or even more, the average age of the active and efficient fleet in Sri Lanka is 6.2 years according to Dr Jayaweera's research paper on "Vehicle inspection and maintenance policies and program". 1 The reason that the government institutions have to keep aging vehicle fleets is due to an investment constraint for the replacement of the vehicle fleet. It is obvious that an efficient vehicle fleet management system is very important to minimize maintenance and operation costs. An effective fleet management program should include policies and procedures on acquisition, replacement, disposal, repair and maintenance of vehicles, record keeping and labor management. Though the general treasury deducts allocation of money on purchasing of new vehicles for the government institutions, the cost that is born for repairs of these old vehicles are marginally high in each year. As a solution to minimize the maintenance cost, it is being observed that over 50% of old aged vehicles are not worth while in the long run due to their unreliability even after their rehabilitation. Therefore, it is necessary to provide a proper vehicle replacement program and efficient fleet management system to the government institutions for more productive logistic services. Problem of the Study Lack of proper vehicle fleet management policies result in inefficient management of the government vehicle fleets. 1.1 Background There are 322 government institutes island wide according to the statics of the General Treasury of Sri Lanka. Ninety five percent of these institutions have a motor vehicle fleet and it appears as this is the second capital asset of these institutions. When comparing public sector with the private sector in Sri Lanka, the private sector utilizes their fleet for business purposes while government utilizes the fleet to cater services for the general public. The way in which the vehicle fleets of private and public sector are managed has some differences. For an example, the Seylan Bank of Sri Lanka has applied a proper maintenance schedule and also they do preventive and routing maintenance in a timely manner such as changing oil after every 5000 km and a periodical maintenance after every 10000 km, 20000 km and 80000 km intervals. Even though the manufacture 's maintenance standard is to change oil after every 5000 km interval, in general, the government institutions undertake routine maintenance in between 5000 - 10000 km. In addition to that, the private sector keeps the maintenance records in their electronic data bases while the government institutions do 2 the same thing manually. As a result, most of past maintenance records of the vehicle fleets are unavailable in the public sector and the important data like cost, km reading and fuel consumption are not recorded properly. Further, the cost per km is calculated by the private sector for each vehicle. If the cost increases than the recommended rate, they find the route cause for this problem and take some corrective action in order to prevent its recurrence. When considering the private sector, they replace the vehicles after every 150,000 km run or 7 years of age which ever occurs first. The government sector institutions use their vehicles even if they exceed 500000 km or even 20 years or more. Therefore, having a proper vehicle maintenance data base, a routine fleet replacement policy and a proper preventive maintenance schedule will result in reducing vehicle operational and maintenance cost in the government sector thus reducing the annual budgets of them. Figure 1.1: Grounded Pajero due to no proper inventory management system (Source: Ministry of Agriculture) Above picture shows one of the Mitsubishi Pajero grounded in a vehicle yard after an accident; for the last lOyears. It has been neglected due to no proper inventory management and no proper replacement policy. These cause to increase inefficiency of the government vehicle fleet management. Such cases could be seen very often in government vehicle fleets. Figure 1.2: Grounded car due to no proper inventory management system (Source: Ministry of Agriculture) 1.2 The Objective and the scope of the study The objective of the research is to identify the behavior of maintenance and repair cost, downtime, usage and the fuel cost of the government motor vehicle fleet against the age and to identify possible improvement methods to increase the efficiency of fleet management. And the scope of the research is to review of literature on efficiency of vehicle fleet management in Sri Lanka and other countries. The data was collected from the 20 government institutions and their head offices located in Colombo due to the reason that there are large numbers of vehicles being used by the head offices compared to their local branches. Especially cars, jeeps, double cabs, vans, lorries and mini buses were focused in the study. The scope of the study was limited to the vehicle fleet that provides services to the departments and to the public. Vehicles such as tractors, ambulances or buses were not taken into the study. The public transport sector was excluded because of the fee charged from the public. 4 1.3 Methodology This section intends to describe the approach taken on rationalizing the research project. This chapter would explain the theoretical framework, on how the problems and solutions are identified; Figure 1.3: Methodology 5 One of the assistants and the researcher visited all the 20 institutes to collect the data for this thesis. They met heads of transport divisions and discussed about the existing situation of their fleets, problems they face in fleet managemenj, maintenance costs, spare parts costs, their policies and procedures. Then the vehicle operators were interviewed and operational data were collected. With the support of questionnaire, the data such as downtime, major repair costs, utilization, and fuel consumption were collected. By reviewing past records, vehicle ages, past repair costs and maintenance costs were found. By analysis we may be able to find out causes for higher fleet maintenance cost and the result shall be used to develop a vehicle fleet management strategy. Twenty Government institutions which have their own vehicle fleets have been selected. The transport officers who are the heads of the transport divisions in these institutions and their staff members were interviewed on vehicle acquisition, maintenance, repair cost, downtime, fleet size and availability etc. Following methods were used for data collection. 1) Interview survey 2) Questionnaire survey 3) Review of past records 4) Literature review Using excel sheets, plotting graphs etc. found the cost behavior and identifying the relationship among the variables that are effected to the vehicle fleet management efficiency and developing vehicle fleet management strategy. Ex: Vehicle replacement policy, preventive maintenance schedule, vehicle inventory management, fuel management and labor management etc. 1.4 Veh ic l e f l ee t s ize Diffe ren t g o v e r n m e n t d e p a r t m e n t s h a v e d i f f e r e n t f l ee t s izes . In t h i s s tudy ac tua l da t a o f sample o f 2 0 ins t i tu t ions h a s b e e n co l l ec t ed w i t h t h e h e l p o f a q u e s t i o n n a i r e a s m e n t i o n e d below. T a b l e 1.1: V e h i c l e f l ee t s i z e s Ins t i tu te N a m e F l e e t S i z e Ministry of Petroleum and Resource Development 13 Ministry of Land and Land Development 26 Ministry of Irrigation and Water Management 35 Ministry of Labor 42 Authority of Samurdhi 44 Department of Archaeology 34 Ministry of Provincial Council and Local Government 40 Ministry of Public Administrat ion and Home Affa i rs 61 Agriculture Insurance Board 62 Sri Lanka Cus toms 64 Department of Inland Revenue 68 Department of Wild Life 96 Department of Education 94 Postal Department 98 Department of Agrarian Development 113 Forest Department 180 Survey Department 196 Peoples Bank 201 Presidents Secretariat 206 Department of Agriculture 280 7 Replacement vehicles may be purchased on a one for one basis but based on the financial constraints of the government. Purchasing of new vehicles is very rare. Fleet size should increase to match with the operational requirements of the institutional mission. But, year by year, the government fleet size is decreased due to written off old vehicles and addition of only a few new vehicles due to higher prices of new vehicles. 1.5 Type of Vehicles According to questionnaire survey held for this study among the 20 institutions; it was reported that different types of vehicles are used to satisfy their operational needs. Total units of vehicles are 1933 in these 20 fleets. 247 125 529 . r ; . ji , . si k ' or • Cars • Jeeps Double cabs 4 • Lorries v Others Figure 1.4: Fleet Size 8 Fleet Consistence as follows: There are 529 cars which belong to different makes and models such as Toyota Corolla, Nissan Sunny, and Mazda Familia which fill about 2/3 rd of the fleet and which are dense among the other models such as Mercedes Bens S Class, E Class, C Class, Volvo S80, S60, BMW 5series, 7series, Jaguar X type and few cars of Indian and Korean brands added very recently. Among 555 units of Sports Utility Vehicle (SUV) Mitsubishi Pajero is one of the most popular models. As well Toyota Land Cruisers with an amazing engine power supports the fleets in a reasonable way. And Land Rover defenders which are made for off road purposes give a fullest contribution to the fleets as an individual performer as well as a backup vehicle. The newer members of the SUV fleet such as Mahindra Bolero and Scorpio come from India and Ssang Yong Musso and Kyron come from Korea also play a good role. Toyota Hilux, Nissan and Isuzus populate all most all the Double cab fleet of 477 units while recently added Mahindra and Tata fulfill the rest of the fleet. There are 125 units of Lorries consist of Hino, Benz, Nissan Diesel, Isuzu, Tata and Ashok Leyland as well as ERF Leyland from UK. Finally there are 247 of other units considered in the research which includes Passenger vans, Cargo Vans and Mini buses. Most common makes of these are Toyota Hiace, Nissan Urvan, Mitsubishi Delica and Isuzu Fargo. 9 1.6 Staffing There are various staffing levels in different institutions to match with the size of their vehicle fleets. In this study, the staffing levels taken into consideration are 1-6, and their duties are shown below; Record keeping Dispatching and purchasing Inventory management Costing Budgeting Labor management Repair and maintenance Typical organization chart of the vehicle fleet management division in a government institution. Figure 1.5 10 1.7 Recruitment of Drivers Normal procedure is recruitment of drivers from the available short list at the recruitment period. There are no selection criteria to check the technical knowledge or skills of the driver recruits when they are selected. If there is a valid driving license and they can take the vehicle on the road, they will be selected. 1.8 Diagnosis of repairs If there is any fault in the vehicle its driver's responsibility to inform it to the transport officer. Then the transport officer forwards it to the technical officer to diagnose the fault. But only 20% of the government institutions have technical officers attached to transport sections. Rests of the institutions send their breakdown vehicles directly to the contracted garages for repairs. 1.9 Out-sourcing of Repair and Maintenance At present there are no in house repair and maintenance facilities in any of the government institutions in Sri Lanka. All the vehicle repairs and maintenance works are been out sourced. According to government vehicle maintenance policies, repairs can be done via following vendors. 1) Local Agents (for particular make of vehicle) 2) Registered garages. Local Agent (Franchise Agents) Toyota Lanka Pvt. Ltd, United Motors Lanka PLC, Sathosa Motors PLC and Diesel and Motor Engineering PLC are some of the local agents for various vehicle makes in the world. • Toyota Lanka for Toyota vehicles • U.M.L. PLC for Mitsubishi vehicles • DIMO for Mercedes Benz and Tata vehicles • AMW PLC for Nissan vehicles 11 All the local agents use genuine parts for new vehicles. But sometimes local agent also uses reconditioned or used parts for vehicles beyond lOyears of age cause of lack of new parts for aged vehicles. It obvious that local agent 's prices are very high. Therefore 75% of government vehicle repairs and maintenance are done via registered garages. Registered garages National Procurement Agency (NPA) has a registry for motor vehicle repair vendors. NPA don't have any scientific criteria to select suitable garages. They publish a paper notice in national news papers; call for registration and register all the applicants. According to interview survey done with the transport officers there are 90% of garages which use non genuine parts for the repairs and repairs are very low standard as well. 1.10 Costing and Budgeting In every 3rd quarter of the year the transport officers have to prepare a cost estimate for the major repairs (Capital Expenditure), Minor repairs (Recurrent expenditure) and fuel cost. These estimates are sent to the Treasury to get the approval for the budget of the upcoming year. But as it's usual, that less amount from the budget has been allocated than requested for the whole year. 1.11 Engine capacities and Different makes Eighty five percent (85%) of the government fleets consist of Japanese vehicles and rest of them are Indian, Korean, British, German, American and Swedish vehicles. There is no standardization in fleet and therefore they mix with different makes, models and types. Eg: Toyota. Nissan, Mitsubishi, Isuzu, Daihatsu, Mazda, Tata, Mahindra, Benz, Land Rover, Volvo and Jeep etc. There are different classes of vehicles mixed among the fleets as sedans, dual purpose vehicles, SUV's and lorries. Engine Capacities as follows • Double cabs 2500cc - 2800cc • SUVs 2500cc - 4500cc • Cars 1300cc - 2500cc 12 • Lorries 4500cc - 6800cc • Vans 2500cc - 3800cc 1.12 Fleet Fuelling Policy a) Use of gasoline for cars b) Use of diesel for Double cabs, SUVs, Jeeps, Vans and Lorries c) Refueling at IOC or CEYPETCO fuel stations (Registered at NPA) d) Use of fuel orders Fuel orders are used when the vehicles are refueled. This voucher is categorized as grneral231. It has triplicate; one for fuel station, one for accountant for payment and the rest for audits. A cash deposit is needed to be paid to the fuel depot before issuing a fuel order in each and every year. The orders can only be issued within the limits. 1.13 Training It is a must that there should have continuous training for the transport staff and the drivers to improve vehicle fleet efficiency and cut down unnecessary cost. In Government institutions, sometimes there is some limited staff training available. But most of them are not related to vehicles fleet management. Driver training programmes also are held very rarely. 1.14 Vehicle Assignment In according to circular NO 22/90, head of the departments and the similar class officers are eligible for private use of the government vehicles at that time. Accordingly, some of the vehicles are assigned to eligible officers and rests of the vehicles are assigned to the individual drivers. 1.15 Prices and Availability of Parts and Labour It is difficult to bear the high prices of genuine spare parts and high labour charges at present. Prices of some parts are 100% higher than that of the time which vehicle was purchased. Labour charges are also rapidly increased. There are several factors influenced to the increase of spare part prices. Some of these price hikes are due to the depreciation of Sri Lankan rupee 13 against Yen, Euro, Dollar and the Indian Rupee. As well the uneven duties are charged by the government. It 's difficult to manage the fleet in good condition since prices are very high. Therefore, it causes to select not only qualified garages but unsuitable garages as well which become troublesome when vehicles are sent there for repairs. Figure 1.6: Active Truck Fleet 15-20 years old (Source: Dep. of Agrarian Development) Above picture is the truck fleet of Department of Agrarian Development. It consists of trucks which are older than 15 years of age. These cause to low fleet efficiency and high vehicle operating cost. The main reason to use such old trucks in active fleet is the lack of proper vehicle replacement policy. 14 Figure 1.7: Double Cab 0-5 years old (Source: Dep. of Agrarian Development) This is a brand n e w double cab pu rchased recent ly b y the D e p a r t m e n t o f Agra r i an Development. This ha s p roven h igh fue l e f f i c i ency , e f f ec t ive u sage and cost e f fec t iveness . This new vehicle has been cont r ibu t ing a lot to the veh ic le f leet . A n d direct ly suppor t to increase fleet m a n a g e m e n t e f f i c iency . Figure 1.8: Grounded Car (Source: Ministry of Public Administration & Home Affairs) 15 Figure 1.9 Grounded vehicles (Source: Ministry of Public Administration & Home Affairs) 1.16 Documents in Government Institute use for Fleet Management 1.16.1 Certificate of Registration of Motor Veh:cle This is like the birth cert if icate of vehic le . Th i s inc ludes the m a k e , mode l , co lor , eng ine capacity, seating capacity, weight , and fue l type , count ry o f or igin , regis t ra t ion n u m b e r and the first registration date. 1.16.2 Running Chart This is like a book. It includes the vehic le regis t ra t ion n u m b e r , fue l t ank capac i ty , o d o m e t e r reading and other current details of the j o u r n e y and fue l ba l ance in the veh ic le etc. 16 This includes repairs and payment, service, replacement of the tires and battery changes. 1.16.4 Vehicle Inventory Management System Vehicle inventory management is one of the most important factors in proper fleet management system. To improve fleet efficiency there should be proper inventory management system to keep important records of each and every vehicle in the fleet. Chapter 2 LITERATURE REVIEW It was obvious that there was no previous research carried out or no articles or papers published by anybody form Sri Lanka about vehicle fleet management in government institutions. Therefore it 's difficult to find out local literature about vehicle fleet management in government institutions in Sri Lanka. 2.1 Cost Verses Age According to international literature it has been proven older vehicle having more probabilities to increase repair cost than younger generation. For example: In Europe vehicle aged 1-5 years had a 20 to 30percent likelihood of incurring repair cost in a year. The vehicle about 13 to 15 years had likelihood closer to 68percent . . . The Lowest Probabilities ranging form around 10 percent in their early years to around 50 percent year age 14 [1] (Ellen M. Pint, Lisa Palled Colabella. et al. 2008.) 2.2 Downtime Verses Age The older vehicle had a higher probability of experiencing one or more days of downtime per year. In Europe for example a new long vehicle had about a 40% likelihood of incurring downtime, where as 15 years old long vehicle likelihood was about 80%. That is an old vehicle with a high odometer reading tended to have more downtime than did a younger vehicle with a high odometer reading [2] 18 Figure 2.1: Major repairs which affect downtime (Source: Dep. of Agrarian Development & United Motors Lanka Ltd.) n u m m r f - 2.3 New Vehicle Purchasing Restrictions Government intuitions have several types of vehicles cars, jeeps, double cabs and Lorries etc. according to the sample survey data, 24% were petrol powered vehicles and others 76% vehicles were diesel powered because operation cost is low. In Sri Lanka the tax burden for diesel vehicles at the time of purchase is seen to be double that of the gasoline powered vehicles. There is a comparison of diesel and petrol vehicle price for Toyota model RAV4 [3] (Munisinghe Mohan. Kumarage A. et al. 2003.) showed total of CIF + Tax for petrol vehicle Rs 2,650,092 and same diesel vehicle CIF + Tax was Rs 3,900,000 [Price in 2001], The difference is Rs 1,249,908 between petrol and diesel vehicle. Therefore it 's difficult to purchase new vehicle to the government vehicle fleets. As a result aging vehicles were increased among institutional vehicle fleets. 19 o * o r o H O u O In Table 2.1 we show a comparison of the taxes levied on diesel and petrol cars, using the same Toyota model differ ing only by type of engine. The tax burdens for the diesel vehicle at the time of purchase is seen to be double that of the gasol ine-powered car. Table 2.1: Compar i son of vehicle prices (Diesel Vs. Petrol) Toyota model RAV4 Gasoline C o s t i n Rs D i e s e l D i f f e r e n c e : d i e s e l l e s s G a s o l i n e Costs a t p u r c h a s e CIF 1800000 2200000 400000 Import du ty Defense l e v y Excise du ty GST Stamp duty Total t a x Total CIF + t a x Tax[as p e r c e n t of Annual t a x e s R e g i s t r a t i o n Diesel t a x Luxury t a x Annual f u e l c o s t Km/year I Km/li tre 1 L i t r e s / y e a r | P r i c e / l i t r e ^Annual f u e l c o s t 267000 217000 254400 198721 21380 850092 2650092 t o t a l ] 32% 3500 10000 50000 0 15000 10 1500 50 75000 534000 108511 508800 397400 42800 1700000 3900000 44% 6500 10000 50000 15000 10 1500 2 1 . 5 32250 267000 108489 254400 198679 21420 849908 1249908 12% 3000 0 0 0 - 2 8 . 5 -42750 Note: Imported as reconditioned, three-year-old vehicles. Luxury tax decl ines by Rs 10.000/year, reaching zero in the sixth year. Figures are tabulated for taxes and typical prices as of April 2001. 20 2.4 Fleet Vehicle Purchasing Process is Competition but Vehicle Selecting Criteria could be improved When all the government institutions purchase vehicles, they set the specification and go for competitive contract bids from vendors. But later a considerable amount of money that has to be paid for the repairs and maintenance. Therefore when preparing specifications for purchasing of vehicles it should be considered the estimated life cycle cost as well [4](JLARC of The Virginia General Assembly, 2004.). As a result of this method it can be selected most cost effective vehicles. When it was reviewing government institution's past records, big money expended as life cycle cost for SUVs. Example: Jeeps - The average fuel economy is published by the vehicle manufacturers for new vehicles and therefore expected fuel costs on the vehicle can be calculated based on current price of fuels (petrol or diesel) and the number of miles will be driven before it is replaced. Maintenance expenditure can be estimated based on recommended service intervals for the vehicles maintenance. The resale value of the vehicles may be estimated based on their expected depreciation. One automotive research company published expected life cycle costs for various vehicle models of the year 2003 within several different vehicle classes. This analysis based on a 96,000km replacement schedule. Per kilometer cost were based on following equation. Cost per Km = Total fuel cost + Total maintenance cost + Depreciation 96,000km Figure 2.2: Toyota Land Cruiser with high fuel consumption and V O C (Source: Dep. of Agrarian Development) 21 2.5 Fleet Size Fleet size of government institutions are decided according to their mission. In this study the fleet sizes vary as 13 units to 280 units. If institutional f rame work and duties are high; fleet size is also high. According to local and international literature there are two factors involve to reduce fleet size. 1) Underused vehicles 2) Aging vehicles 1) Underused vehicles Use of annual mileage is to determine which vehicles are underused. In most situations cars age lower than lOyears has been driven less than 17,600km per year should be evaluated against the minimum use criterion and be reassigned to areas in which they can be used more effectively or sold. Policy like that can reduce the fleet cost. [5] (Texas. 2003) 2) Aging vehicles to be replaced New vehicles below 5 years age are more cost effectively than 10 year age vehicles. Same result is given comparing with 15 and 20 year age vehicles. If maintain according to manufactures service standard 150,000km can be driven without engine repairs irrespective of there make. But in order to manufacturers literature after 150,000km there is a probability to occur engine repairs and so on major component subject to repair such as gear box, differential, power steering system, break system, suspension system and electrical system. In reviewing past records a lot of money was expended for vehicles unnecessary repairs. 2.6 In South African Government; A proper fleet management has proven Cost Reduction A project completed by Transaid within the Department of Health in North West Provinces, South Africa led to a reduction in the number of vehicles required by the department from 2,300 to 1,000. This reduced fleet was able to support the same level of service delivery and delivered massive cost savings to the Provincial Department. The same project produced the following operational achievements: • 55% reduction in fleet size. 22 • 55% reduction in transport capital budget • 35% reduction in operational transport costs • 85% transport availability achieved • 75% vehicle utilization achieved [7] (http://www.transaid.org) To the achievement of this efficient fleet management has been implemented as follows 1) Maintenance management 2) Use new vehicles for operations 3) Replacement of old vehicles 4) Operation management 5) Usage of ICT 2.7 Fuel Economy V s A g e The automobile manufacture in worldwide use two types of fuel systems for gasoline vehicles as follows. 1) Carburettor fuel system 2) EF1 system (Electronic fuel injection) Carburettor System This system has carburettor which has fixed to the air cleaner and engine on inlet manifold. All action in petrol flow is controlled by two je ts and a floater. After 100,000 km or 3 years which occurs first; these parts should be changed. For the time being if the worn out parts are changed the fuel consumption will still be very high. It 's the nature of aging vehicles. The EFI system This system is for petrol vehicles which is the most developed and fuel economical. This is a fuel injection system which consisted of an electric fuel injection pump and pressure type injectors. These injectors should be cleaned in every 25,000 km. According to local and international literature fuel consumption is decreasing with age. 23 http://www.transaid.org Figure 2.3 C a r b u r e t t o r fuel s y s t e m F i g u r e 2 .4 EFI S y s t e m In diesel vehicles the manufacturers are using several types of injection systems. There are three famous types in Sri Lanka as follows. 1) Inline pumps 2) Rotary type pumps 3) Common Rail Type When we follow automobile technical data rotary type diesel pump. Fuel efficiency a per liter is better than inline pump. However the latest common rail diesel system is more fuel efficient. All types need periodical maintenance and as it ages fuel consumption increases automatically. Figure 2.5 Inline p u m p s F i g u r e 2 .6 R o t a r y ty pe p u m p s 24 F i g u r e 2 .7 C o m m o n Rail T y p e 2.8 Major Repair Cost According to vehicle manufacturers ' literature; major repair cost defines as engine, gear box, differential, break, suspension and electrical repairs. In efficient fleet management process unnecessary major repair cost can be reduced. If the fleet managers or the transport officers implement a proper preventive maintenance schedule in timely manner; younger fleet of 0 - 5 years age in the institute will not need to incur any major repairs or major repair cost. If the institute has a fleet of 5-10 years age major repairs can be commenced. But preventive maintenance programs can reduce the percentage of the amount of repairs. 2.9 Repair Cost and Age The age of the automobiles directly involve to increase repair cost. This is a big issue for the vehicles in the active vehicle fleet, but exceeded its useful life lOyears or 96.000K.in In the City and County of San Francisco government 's budget analyst as repair cost by age of vehicles as follows. [8] (San Francisco, n.d) According to this analysis: vehicles aged less than 10 years has a low repair cost than the i \kaxv VQ \eavs of aae. 25 2.10 Old Age Vehicles Affect the Air Pollution Leading transport categories in the world are road, air, rail and ships. The most important sources as they account for the majority of mobile source fuel consumption in the world (approximately 82% and 13% respectively.) The main engine technology use for taking power is internal combustion system. IC engine mainly use gasoline, diesel and natural gases as fuel. All diesel engines are compression ignited and gasoline fueled engines are spark ignited. There are two types IC engines; two strokes and four strokes. Technically four stroke engines are better than two strokes as its less pollutant are emitted in automobiles. Evaporation Emissions (TOG) Leaks (A/C, Ref.) HFC,PFC Exhaust Emissions C02/ CO, NOx, SOx, NMVOC Figure 2.8 Particulate matter (PM) and (Pb) are emitted from the exhaust tip with other exhaust gases. The old and worn out engines emit un-burnt fuel with particulate matter (PM). These un- burnt fuels are visible as white, blue or black smoke with invisible particles. This incomplete combustion is caused by old or worn out engines with low technologies. And as air pollutant may be defined as any substance released to the atmosphere that alerts the air 's natural composition and may result adverse effects to humans, animals, vegetation and materials. 26 Table 2.2: Average Emission Factors of vehicles Vehicle Category Fuel Emiss ion (g /km) Vehicle Category Fuel CO NOX NMVOC CH4 N2O PM Motorcycles 2 stroke Gasol ine 2 2 . 7 8 0 .03 9 .86 0 . 7 4 0 .002 0 .000 Motorcycles 4 stroke Gasol ine 2 4 . 2 7 0 .1 6 1.74 0 .07 0 . 0 0 2 0 . 0 0 0 Private Car Gasol ine 41 .32 2 .03 5 .45 0 .15 0 .005 0 . 0 0 0 Private Car Diesel 1.78 0.91 0 .4 6 0.01 0 . 0 1 0 0 . 2 4 4 Minibuses Diesel 2 .57 1.27 1.27 0 .03 0 .017 0 .887 Buses Diesel 11.83 16.14 3 .02 0 .07 0 .03 3 .337 Medium-duty trucks Diesel 5 .16 8 .59 3 .67 0 .09 0 .03 3 .475 Heavy - duty trucks Diesel 6.41 13.79 3 .78 0 . 0 9 0 .03 3 .813 Table 2.3: Estimation of C 0 2 Emissions Fuel Type Carbon Emiss ion Factor (tC/TJ) Fraction Oxid ized Gasoline 18.9 0 .99 Diesel 20 .2 0 . 9 9 Coal 25 .8 0 . 9 9 Fuel Oil 21.1 0 . 9 9 Av. Turbine Fuel/ Jet Kerosene 19.5 0 .99 [9]( Sugathapala. A.G.T. n.d) 27 According to the Department of Motor traffic in Sri Lanka there is considerable no of vehicle fleet belong to the government institutions out of the whole active fleet in Sri Lanka. It is obvious that vehicle fleet that vehicle fleet maintenance was not properly done by government institutions and old vehicles had more polluted emission. They can badly effect the environment of Sri Lanka because 90% of government fleets use diesel as fuel. [10] (Jayaweera. 2001) Table 2.4 Table 2 - C ompai ison of Specif icat ion for Sulfur in ) iese l Fuel ° oS b y we i ASEAX(l) 1998 1999 2000 2001 Future Plans Brunei 0 .25 0.25 0 .25 0 .25 Cambodia Indonesia 0.5 0.5 0.5 Laos Malaysia 0.5 0.5 0.3 Mvanmar 0.5 0.5 0.5 Philippines 0.5 0.5 0.5 0.2 Smgapore 0.3 0.05 0.05 0 .05 Thailand 0 .25 0.05 0 .05 0 .07 Vietnam 0.5 0.5 0.5 OTHER India Bangladesh China(3) 0 .2-1 .0 0 .2(m 2002) Pakistan (2) 1 0.5(in 2002) Sri Lauka 1.1 1.1 1.1 1.1 0.5 (in 2003) Source: ASEAN. Proceeding Regional Workshop on Fuel Qua ity and Alternative Fuels. Delhi. May 2001:1) G. Balce. Overview of Regional Fuel Market and Fuel Qualm- Standards in: (2) S.M. Zaidi. Country Experience of Pakistan in improving fuel quality: (3) Yangsheng, Improving Fuel Quality in China O n e factor remain is that v e h i c l e i n s p e c t i o n s y s t e m h a s to b e i n c l u d e d e m i s s i o n test tak ing sul fur level of diesel and other fue l qual i fy . 28 Figure 2.9 20 Year old cars - Still in active vehicle fleet. (Source: Dep. of Agrarian Development) Above picture shows cars purchased before 20years by the Department Of Agrarian Development. They are still in active fleet due to no proper replacement and purchasing policy in government f leet 's management system. 2.11 Government Vehicle Purchasing and Repairs There are procurement guidelines which have been approved by the cabinet of ministers. When the government institutes do repairs or purchase vehicles procurement manual and guideline should be fol lowed. . . [1 l](Sri Lanka. 2006.) according to the procurement manual for vehicle repairs above RslOO, 000 sealed quotations has to be called and 7-14 days should be given to the bidders to submit quotations. Thereafter two committees are appointed, one to open the bids and the other for evaluation. Later these recommended offers go to tender boards for approval. For all these work it takes 45 days approximately. Since old vehicles are getting major repairs so often the time period taken for tendering purpose should also be added to the down time. Figure 2.10 25 Year old Jeep - still in active vehicle fleet. (Source: Dep. of Agrarian Development) Figure 2.11 45 Year old lorry - still in active vehicle fleet. (Source: Dep. of Agrarian Development) 30 Chapter 3 DATA ON VEHICLE FLEET MANAGEMENT IN GOVERNMENT INSTITUTES There are 322 government institutions situated island wide according to the government treasury statistics. More than 95% of them have own vehicle fleets. Eighty five (85%) of the head offices of these 322 institutions are situated in Colombo. Therefore, Colombo was selected as the research area. Twenty out of these were taken as sample institutions. 1) Ministry of Petroleum and Resource Development 2) Ministry of Irrigation and Water Management 3) Ministry of Labor 4) Authority of Samurdhis 5) Ministry of Land and Land Development 6) Department of Archaeology 7) Ministry of Provincial Council and Local Government 8) Ministry of Public Administration and Home Affairs 9) Agriculture Insurance Board 10) Sri Lanka Customs 11) Department of Inland Revenue 12) Department of Wild Life 13) Department of Education 14) Postal Department 15) Department of Agrarian Development 16) Forest Department 17) Survey Department 18) Peoples Bank 19) Presidents Secretariat 20) Department of Agriculture All the 20 institutions have a transport section with employees according to their fleet size. The staff consists with 1-6 persons. Chief of the section is the Transport Officer. Their duties are to prepare vehicle log sheets, record keeping about fuel, repair, maintenance and 31 dispatching and labor management. All of the 20 institutions don't have transport data bases. There are log books, maintenance and repair files and running charts for keeping records. When we reviewed the transport files and records, we were able to collect data. A number of research activities were also done as a part of this study to collect data. These activities included interviews, file reviews and questionnaire surveys. 1) Interviews Interviews were conducted with transport staff at all selected government institutions. And interviews were conducted with the institutional transport officers, motor vehicle dealers, fleet maintenance vendors, fleet administrators and vehicle drivers. The purposes of these interviews were to get information about how they manage their vehicle fleet. Table 3.1: Condition and Performance ratings of the Vehicles below 5 years Condition and Performance ratings of the Vehicles below 5 years Good Fair Poor Engine 92% 6% 1% Steering 89% 10% 1% Breaking 80% 16% 4% Transmission 84% 12% 4% Acceleration 75% 15% 10% Heating 90% 9% 1% Air Conditioner 79% 15% 6% Lights 92% 6% 2% 32 dispatching and labor management. All of the 20 institutions don't have transport data bases. There are log books, maintenance and repair files and running charts for keeping records. When we reviewed the transport files and records, we were able to collect data. A number of research activities were also done as a part of this study to collect data. These activities included interviews, file reviews and questionnaire surveys. 1) Interviews Interviews were conducted with transport staff at all selected government institutions. And interviews were conducted with the institutional transport officers, motor vehicle dealers, fleet maintenance vendors, fleet administrators and vehicle drivers. The purposes of these interviews were to get information about how they manage their vehicle fleet. Table 3.1: Condition and Performance ratings of the Vehicles below 5 years Condition and Performance ratings of the Vehicles below 5 years Good Fair Poor Engine 92% 6% 1% Steering 89% 10% 1% Breaking 80% 16% 4% Transmission 84% 12% 4% Acceleration 75% 15% 10% Heating 90% 9% 1% Air Conditioner 79% 15% 6% Lights 92% 6% 2% 32 Fuel Economy 89% 15% 2% Body condition 82% 13% 5% Tires 80% 17% 3% Source: Interview Survey of Drivers 2) Questionnaire Survey There were 15 questions included in these questionnaire to gather data on vehicle fleet management for which questions were designed according to four age categories as 0-5 years, 5-10 years, 10-15 years and 15-20 years. All data regarding cost were collected under these categories. Survey team visited all 20 sample institutions and filled the data forms with the surveys of all transport officers and their staff. 3) File and Document Reviews For collected cost data it has been reviewed vehicle log books, running harts, vehicle repairs and maintenance files, inventories and accounts. I 3.1 Sources of Data An efficient vehicle fleet management system has vehicle maintenance data base and fleet management data base. But government institutes in Sri Lanka still use manual data recording systems. All 20 institutes in which I collected data have small unit for vehicle fleet management and it consists of one transport officer (in-charge) and 1 to 6 clerical staff for keeping records and office work such as vehicle inventory, Repair Log book, running charts, fuel records, costing & budgeting records, accident & maintenance records and labor management records. Since all the government institutes do not have proper data keeping systems, it was so difficult to collect data for all the sections in the questionnaire. 33 3.2 Vehicle Fleet Survey Due to lack of data bases in the transport section in the government institutions, the research team had to face a lot of difficulties. There were no opportunities to collect data from email or by using electronic questionnaires. Research team had to visit each of the 20 departments and institutions. They met every transport officer, transport clerk and drivers etc. and filled the questionnaire. It revealed past records and vehicle files, log books, fuel records, vehicle inventories, running charts and repair and maintenance records. 3.3 Age The age of the vehicle has been calculated by subtracting vehicle's year of manufacture from year of the vehicle's study period (in year 2008). The manufacturing date of a vehicle has been taken from the vehicle registration book. Vehicles were categorized in to four class intervals according to their age such as 0-5, 5-10, 10-15 and 15-20. The main reason to categorize vehicles into class intervals is that number of vehicles in a sample is very large. 3.4 Annual Usage The data on average annual usage (km traveled) per vehicle has been collected from the running chart of a vehicle where it includes data of a vehicle about the amount of km driven, the amount of fuel has been taken per journey basis. Some Odometers of government vehicles are not working properly as well as some reading shows erroneous figures. Therefore records in the running charts have been taken as average data. Further amount of km traveled differs according to the type of vehicles. As an example, a car has driven less km than a Jeep; a Double cab has driven less km than a Jeep. 3.5 Fuel Consumption Fuel consumption depends not only on age but also it depends on many other factors, mainly the speed, road & traffic condition, type of the vehicle and mechanical condition etc influence on the fuel consumption of a vehicle. Though the two vehicles are in a same type, records 34 might show slightly different figures according to their brands. There are about 90% of actual data and remain is estimated since odometers of 193 vehicles out of 1933 considered were malfunctioning according to the questionnaire survey. Figure below shows the percentage of the availability of active odometers. 3.6 Repair cost . The cost for repair and maintenance of vehicles increases with its age irrespective of type of vehicles. The reason is that at the very beginning (age 0-5), mostly it has to bear only the maintenance cost such as oil changing and greasing and servicing for every 5000km. Just after 5 years, in the government institutes, first rehabilitation is take place such as engines, gear box, suspensions overhauling. The second rehabilitation period of vehicles comes sooner than the first. That means the vehicle grown age needs to be repaired frequently therefore aged vehicles affect to increase of repair cost. Average cost per km for Maintenance of vehicles has been calculated by dividing average cost by number of average km traveled in year 2008. • Inacliveododmeter • Active odometer Figure 3.1: Active odometer percentage 35 6 0 0-5 5-10 10-15 15-20 Age Category Figure 3.2: Average Cost Per km for maintenance of cars (Department of Agriculture) Figure 3.3: 15 years of age Nissan Patrol jeep undergoing major repairs (Source: Ministry of Public Administration & home affairs) 36 3.7 Downtime This includes number of days that a vehicle inoperative or down for any operation. In government sector vehicles, this happens because of vehicles have been parked at garages for repairs. Here, the average annual downtime has been calculated in days which were t expressed by the transport officers. The number of days differs according to the aging categories. Basically downtime increases with age. The main reason to have such a high downtime is that for the repairs which exceeds Rs. 100,000; institutes have to go for tender procedure according to NPA guidelines and it takes more than 21 days to complete the legal matters. Therefore time taken for tender procedure is also added to the downtime of a vehicle. Figure 3.4: 15 years of age vehicle undergoing major repairs (Source: Ministry of Foreign Affairs) Vehicles in above picture are older than 15 years of age and they are undergoing major repairs. These major repairs cause due to worn out engines, corroded body parts etc. take a lot of time. Therefore downtime of old vehicles is very high. 37 3.8 Vehicle Replacement There are 60-70% of old vehicles in government vehicle fleet due to lack of proper replacement policy. Very costly repairs occur frequently. Therefore the questionnaire has been designed to collect vehicle replacement data to identify their replacement policy. 3.9 Preventive Maintenance Data Other than age of vehicles; a considerable amount of government vehicles were grounded for long period with due major repairs. These types of repairs occur due to non availability of proper maintenance program. Therefore it is needed to identify about maintenance data. The organizations which are having vehicle fleet management systems is been maintaining database. It can be used improve vehicle fleet maintenance efficiency. In the questionnaire survey included questions about maintenance; so as to collect maintenance data. 38 Chapter 4 ANALYSIS OF VEHICLE FLEET MANAGEMENT IN GOVERNMENT INSTITUIONS Since there were no data bases and all institutes use to keep records using manual system and important data was not recorded properly; actual average data was collected according to data collection. Firstly fleet was classified on vehicle type and age vise and then the collected data was analyzed as vehicle annual average downtime in year 2008 vs. age category, major repair cost in year 2008 vs. age category, average cost per km for maintenance, average annual usage in year 2008 vs. age category fuel consumption vs. aging category. The quantitative and qualitative data were to determine to prepare a vehicle replacement plan and a proper maintenance schedule to create good vehicle fleet management strategies. Main variables were considered to determine the plan to prepare a good fleet management plan. 1) Downtime in days 2) Annual usage in kilometers 3) Annual repair cost 4) Fuel consumption as Km/L 39 4.1 Fleet Classification There are 322 government institutions in the island. More than 95% of them have own vehicle fleets. In this study sample category was 20 institutions. And total numbers of vehicles were 1933 which consisted cars, jeeps (SUVs), double cabs. Lorries and others as vans and minibuses. 250 -r 200 r 150 o 100 o 2 50 0 - 5 5 -10 10-15 Age Category (Years) 15-20 • Cars • Jeeps • Double Cabs • Lorries • others Fleet Figure 4.1: Fleet Classification Out of total fleet 137 units were cars below 5yeras, 84units were jeeps below 5years, 80 units were double cabs below 5years, 13 units were lorries and 58 unites were vans and mini buses fleets most popular typed of vehicles were jeeps (SUVs) secondly cars and double cabs. Lorries and others were the next. According to above graph it was found that more than 64.44% of vehicles in active fleet within the survey sample were beyond their useful life; which means over 10 years of age. 40 4.2 Downtime vs. Age According to the results of analysis it was obvious that vehicle downtime increase with the age of any type of vehicle. When it's compared total average downtime between the same types of cars of age category as 0 - 5 years of age and 5 - 1 0 years of age were 705 days and 2302 days respectively. As well when we consider the age categories 1 0 - 1 5 years of age and 15 - 20 years of age they are 4309 days and 4702 days respectively. When observing the graph; it's clear that any vehicle category give the same result. 12000 IS 01 > 10000 c 8000 01 E 6000 c 00 o 00 o 4000 0 o V V (M 2000 I 0 01 > « 0 1- Downtime of vehicles in year 2008 0-5 5-10 10-15 Age Category (Years) 15-20 • Cars • Jeeps • Double Cabs • Lorries • others Figure 4.2: Downtime of Vehicles in year 2008 When we study the above graph we can figure the relationship between the downtime vs. age. And it could be seen that the downtime gradually increase with aging. The vehicles of age category below 10 years of age has less downtime where as vehicles of age category above 10 years of age has higher downtime. As well we can state that downtime is directly related to the availability of vehicle. Therefore aging of vehicle fleet affects the availability of vehicles. 4.3 Annual Usage vs. Age Vehicle's annual usage rate among the vehicles of government fleets were declining according to their age categories in a significant manner. The graph below shows how the annual usage is affected by the aging. 6000000.0 | 5000000.0 • | 4000000.0 - | i C m I 3000000.0 • J - •= 2000000.0 • • p ' f t • | I Double I 1000000.0 I p • I Lorries q q H H • H H f l H H • B a Others 1 0-5 5-10 10-15 15-20 Age Category (Years) Figure 4.3: Average Usage of Vehicles in year 2008 Usage of Cars Average usage of cars is calculated according to age category as follows. 1) 0-5 years No of units of cars in the sample (up to 5 years of age) are 137. Usage of cars in year 2008 of this age category is 3908392 km 2) 5-10 years No of units of cars in the sample (up to 10 years of age) are 139. Usage of cars in year 2008 of this age category is 3134034 km 42 3) 10-15 years No of units of cars in the sample (up to 15 years of age) are 162. Usage of cars in year 2008 of this age category is 258675.1 km 4) 15-20 years No of units of cars in the sample (up to 20 years of age) are 91. Usage of cars in year 2008 of this age category is 927944.1 km When we consider the above information regarding cars; it's obvious that usage decreases with age. And it's common to all the vehicle types in the research. 4.4 Annual major repair cost vs. Age Old vehicles show greater possibility of having high repair costs. So as to the below chart its revealed that repair cost of vehicles of 5 - 1 0 years of age is 39% more than that of the vehicles in 0 - 5 years of age in the type of jeeps. Then we can see that the repair cost is gradually increased with age as 42% in the 10 - 15 age category and 43% in 1 5 - 2 0 age category. According to the study it is obvious that repair costs of older vehicles are comparatively higher than that of the younger vehicles. 50000000 n 40000000 30000000 ti 20000000 o u •fe 10000000 (a a 4> 0 I- Annual Major Repair cost in year 2008 0 - 5 5-10 10-15 Age Category 15-20 • Cars • Jeeps • Double Cabs • Lorries • others Figure 4.4: Annual Major Repair Cost in year 2008 Calculation of annual major repair cost of cars in year 2008 for age category 0-5 years (2*50765) + (10*43125) + (20*55252) + (5*51 125) + (1 *75163) + (6*53125) + (5*67278) 4 (5*75235) + (2*75256) + (1*575 65) + (18*452 86) + (2 * 49132) + (3*5 6758) + (7*65278) + (2*73126) + (42*97372) + (1*60923.14) + (5*73250) = Rs 9411681 Repair costs of all the other types and age categories were calculated in same manner. 44 4.5 Fuel Consumption vs. Age In this study it was identified that fuel consumption of any type of vehicle increase with aging in a significant level. Even when we consider local and international literature regarding fuel consumption; aging is given as one of the main factor influence the rise of fuel consumption of vehicles. It's clear that old vehicles are less fuel efficient when we compare with the modern and latest vehicles. 10.00 9.00 • 8.00 j 7.00 I 6.00 if 5.00 4.00 I 3.00 • 2.00 1.00 0.00 Figure 4.5: Average Km/Liter The way which fuel consumption increase with the age is clearly appeared in the above figure. This fact is seen in all the vehicle types. Not only the age but also inadequacy of a proper fleet management also leads to increase fuel consumption. Even the literature review proves that old vehicles have less fuel efficiency compared to younger vehicles. When we concern 10 - 15 years age category; all types of vehicles show that fuel consumption isn't economical. Remedy for this situation is overhauling the engine. A lot of money has to be spent for repairs and downtime is also high. Therefore it is better to take policy decision to improve fleet management. 1.99 o - s 5 - 1 0 1 0 - 1 5 Age Category(Years) 1 5 - 2 0 45 4.6 Average Downtime per vehicle The graph given below shows the average downtime per vehicle and how it affects the active fleet. Downtime in each vehicle type increase with the aging and mostly the vehicles beyond the age of 10 years has a high downtime. 80.00 70.00 60.00 > n 50.00 a V E 40.00 c i 0 30.00 a 20.00 10.00 0.00 5 -10 10-15 Age Category Cars Jeeps Double Cabs Lorries others 15-20 Figure 4.6: Average Downtime When above graph is considered it 's obvious that every vehicle type beyond 10 years had been grounded for more than one month. Then it when we consider the age category between 15 - 20 years, all the vehicle types was grounded for 30 - 60 days. In addition to these grounded period; approximately another 45 days time should be added so as to complete tendering process. So it 's better to replace vehicle than rehabilitation. Table 4.1: Average Downtime 0-5 5 - 1 0 10 -15 15-20 Cars 5.15 16.56 26.60 51.67 Jeeps 5.50 15.41 32.18 57.59 Double Cabs 5.40 15.46 31.32 56.45 Lorries 8.92 17.70 33.00 68.40 others 6.17 18.31 31.16 52.97 46 4.7 Maintenance Cost/Km per vehicle 25.00 20.00 15.00 310.00 5.00 0.00 0 - 5 5 - 1 0 1 0 - 1 5 Age Category (Years) 23.49 1 5 - 2 0 Figure 4.7: Average Maintenance Cost per Kilometer According to above graph it was revealed that the maintenance cost per Km per a vehicle increase with aging. We can see that this cost has increased in 5 - 10 age categories than 0 - 5 age category by a slight percentage in each vehicle type. But after 10 years of age we can see a rapid increase in cost. Therefore it's obvious that cost per Km increase with aging. When 10-15 years age categories are concerned; maintenance cost/km increased approximately doubled. If we consider 15—20 years age category; it's very uneconomical. Therefore it's better to go for a replacement policy or plan. 4.8 Average Annual Major Repair Cost 350000.00 300000.00 250000.00 ~ 200000.00 DC M 3 150000.00 100000.00 50000.00 0.00 0 - 5 5 - 1 0 10-15 15-20 Age Category (Years) Figure 4.8: Average Annual Major Repair Cost per vehicle Table 4.2: Average Annual Major Repair Cost per vehicle (Rs) 0 - 5 5 - 1 0 1 0 - 1 5 1 5 - 2 0 Cars 68,698 84,632 116,676 139,357 Jeeps 118,116 122,208 140,948 193,016 Double Cabs 73,892 199,729 160,530 306,656 Lorries 92,315 112,179 146,553 238,030 others 65,119 80,047 110,011 245,096 As well as maintenance cost; average annual major repair cost is also increase with aging. In the above graph; only in vehicle type of Double cabs of age category 1 0 - 1 5 years of age, line graph has gone down due to the reason that no of units are greater in 10 - 15 years age c a t e g o r y than 5 - 1 0 years age category when the total cost is divided by no of units average cost per unit in 10-15 years shows a less value than 0-5 years age vehicle. But actual cost of Double cabs in 10-15 age category is greater than 5-10 age category same as all the other types. 48 Cars Jeeps Double Cabs Lorries others 4.9 Average Annual Usage of Vehicles Figure 4.9: 4.9 Average Annual Usage per vehicle in year 2008 Above graph clearly shows how the annual usages of vehicles gradually decrease with age. Cars, jeeps and double cabs show a systematic or even downfall in usage while lorries and other vehicles show a downfall with uneven points. But still all the types of vehicles show the common feature that usage decrease with age. 49 4.10 Mobile Air Emission Standard In this survey it has been proven that 64.44% units of vehicle exceed the point of their useful life time of 10 years of age or 300000km of usage out of total vehicle fleet of the study. More than 90% of these old vehicles fail the standard emission test when they face for the first time. Therefore the institutions have to spend a huge amount of money to recondition the fuel system of older vehicles in order to obtain the revenue license according to the latest regulations of the government. Therefore age of 10 years or usage of 300000 km should be considered as the cut off point to replace the old vehicles. According to the publication Sustainable Transport Options for Sri Lanka (Feb 2003) reveal that "Emission factors are strongly influenced by the age of vehicles" It's realized that not only to the efficient fleet management; old vehicles make trouble to the society as well. 4.11 Use proper data base for Storage of necessary vehicle data It was identified that all the 20 institutions in the sample survey didn't have a vehicle maintenance data base. In order to literature review of vehicle fleet maintenance it's obvious that appropriateness of a data base. Accurate data of things like odometer reading, fuel cost, repair cost, periodical maintenance data and labor management data are necessary to improve fleet efficiency. 4.12 Comparison of Variable Cost The following table shows the comparison of variable cost (Maintenance cost & Cost of Fuel) of 15-20 years (Old) and 0-5 years (New) Double cab of Department of Agrarian Development. It was assumed that the price of a diesel liter was constant at Rs. 110. That is because price of diesel was changed during the based year. Table 4.3: Comparison of Variable cost of Double cabs (New & Old) Aging category Maintenance Cost(Rs) Total cost of fuel (Rs) Km per liter Annual Usage Average Fuel Consumption Total Variable Cost(Rs) Variable cost per km(Rs) 0-5 (New) 62,506 288,915 10 26265 2627 351,421 13.38 15-20 (Old) 131,000 206,250 7 13125 1875 337,250 25.70 According to the above table, there is a Rs. 12.32 difference in variable cost per km. It is shown in following graph. Comparision of variable cost of Double Cabs (2008) E a> a. .Si JQ .2 w ra > 30.00 25.00 20.00 15.00 10.00 5.00 0.00 1 0-5 Aging catogory 15-20 Figure 4.10: Comparison of Variable cost of Double cabs (New & Old) in year 2008 In above comparison; only maintenance and fuel costs are included to obtain vehicle cost per Km. Other costs such as repair cost, downtime cost and other operational costs are assumed as same per Km. 51 Chapter 5 CONCLUSION There are 322 government institutions in Sri Lanka. Out of them 95% have their own vehicle fleets. Majority of them are Cars, Jeeps and Double cabs while rest of them is lorries and other vehicles such a s vans and mini buses. If we consider all government vehicle fleet, 60 - 70% among active vehicle fleet was beyond their useful life, which means they were over lOyears of age or exceed 300000km usage. Old aged vehicles caused to high repair and maintenance cost. In this study it was revealed that lack of preventive maintenance schedule and plan and proper replacement plan would have cause to increase unnecessary fleet cost. As well in Subchapter 2.10 we discuss that old vehicles affect the air pollution. Old and worn out engines emit un-burnt fuel with particular matter (PM) or (Pb). These un-burnt fuel particles damage the environment while polluting air, atmosphere and water cycle etc. which directly affect human, animal and vegetation. Therefore it can be concluded that aged vehicle without proper not only increasing of fleet cost but also social cost. From questionnaire survey," interviews, checking past records, literature review and research being carried out in previous chapters; we have found what our selves could have achieved and hence conclude the following At this study in Subchapter 4.5, fuel consumption vs. age; it has been proven that how fuel efficiency decline against age in all types of vehicles. In according to the line graph Figure 4.5 facts that average km/I for all type of vehicles which are below 10 years are reasonable which means there fuel efficient is clearly appeared. But for the vehicles beyond 10 years of age fuel consumption isn't economical for the cost effective fleet management in government institutions. In Subchapter 2.7 fuel economy is discussed, and how the fuel economy decreases with age of vehicles are elaborated. Above findings may determine that age shall be proposed to make a vehicle replacement plan for the government to improve their fleet management methods and to increase the efficiency of fleet management. Using downtime data in Chapter 4 it can be analyzed the relationship between aging of vehicle and downtime. There the line graphs Figure 4.6 clearly shows that downtime is low in the vehicles below lOyears of age and it 's basically less than one month and in the vehicles above lOyears downtime have increased in all the institutional fleets from 30-60 days and it 's 52 common to all the types of vehicles. In addition to these down days at least 45days should be added to it as it takes time for tender procedure [11]. This determines vehicles over 10 years of age should be replaced or rehabilitated. But at present spare part cost and labor are very much high. Therefore it is better to replace. In Chapter 1 at introduction, it was discussed that every year government allocate approximately 4 .5% out of its capital expenditure on vehicle fleet management. It 's obvious that very large amount of money has been spending when comparing with other sectors like education and health. In this study we find out evidence such as aging of vehicles increased unnecessary cost. In Figure 4.7 it 's seen that maintenance cost vs. age/ cost per km is high in all the vehicles beyond 10 years. So by observing the Figure 4.7 it was revealed that maintenance cost rapidly increase with age, when vehicles reach 10 years of age. And by 15 years they show sudden growth and it reach the peak. From this analysis i t 's observed that maintenance cost per Km is being rapidly increasing with the age of 10 -15 years. Therefore its better to consider vehicles of this age category shall be replaced In order to the findings in this research; it was revealed that average annual major repair cost vs. age increased at the point of age 1 5 - 2 0 . In Figure 4.8 this is clearly seen, cost is rapidly increased. When managing vehicle fleets the vehicles belong to 1 5 - 2 0 years should be repaired to fulfill the demand tough a high cost has to be born on these repairs. Too it takes a long downtime for these repairs. By going for such repairs government lose its fleet efficiency as well as money unnecessarily. Therefore it 's better to take a decision to write off such vehicles and purchase new vehicles which are cost efficient. This will help to cut down unnecessary cost and improve fleet efficiency. At Subchapter 4.9 it was discussed about mobile air emission standard. In this research it has been proven that 64.44% of government vehicles exceed the point of their useful life time of lOyears of age or 300000km of usage out of total fleet of the study sample. According to questionnaire survey it was found that more than 90% of those old vehicles fail the standard emission test when they were tested for the first time in every year. Therefore institutions had to pay a lot of money to recondition the fuel system so as to pass the emission test to make it eligible for setting revenue license. Not only government institutions; aged vehicles effect the society also [3]. At literature reviewed "Sustainable Transport for Sri Lanka' (Feb2003) I "Emission factors are strongly influenced by aged vehicles. Our study and literature both 53 conclude that vehicles beyond 1 0 - 1 5 years old should be replaced to improve vehicle fleet management in government institutions. To improve vehicle fleet management efficiency in government institutions it was found that following factors are also influenced. • Less staff training regarding proper fleet management. • Drivers less technical know how • Absence of preventive maintenance schedule • No proper inventory management Staff working in the transport section should have a training to cut down unnecessary cost. They should be given a special training about technical knowhow and computer training to keep records about repair and maintenance cost (Maintain a data base), insurance data, accident data records and labor detail. It is a great support to hold drivers training about technical knowhow and road rules to improvement of vehicle fleet efficiency and cut down unnecessary fleet cost. According to the survey 90% of institutions are doing routing maintenance only (5000 km oil changing) and they do not have a preventive maintenance schedule at least. In an efficient vehicle fleet maintenance system, there should be a preventive maintenance schedule that affect to the reduction of maintenance cost. Unlike in Sri Lankan government institutions, other foreign organizations use international standard vehicle fleet management schedule which is used for preventive maintenance and record cards which is used for keeping records about vehicles' periodical maintenance in timely manner. Especially mission of organizations for United Nations (UN) implement this system worldwide even in Sri Lanka. (Refer APENDIX II for International Standard Preventive maintenance schedule, maintenance record card and Manufacturers recommended maintenance schedule). By considering above we can suggest a similar preventive maintenance schedule and a maintenance record card for Sri Lankan government fleets; which will decrease the fleet management cost and increase fleet management efficiency. When Chapter 1 ' s introduction is considered; it was discussed that all the records are kept manually. It 's better to introduce an electronic car log system. It'll have a better picture as 54 accurate fuel monitoring and record keeping system, electronic maintenance management system and automated preventive maintenance schedule are implemented in such a system. This will affect a lot to cut down unnecessary repairs, cost and improve quality of fleet management. In annual usage vs. age in the Figure 4.9 it was analyzed annual vehicle usage against age in government fleets. And the fact that usage rate of all the types of vehicles rapidly decline after their useful life time; which means 10 years of age was clearly defined. When we consider the down time, it prove that aged vehicle has more downtime. Therefore both less usage and more downtime derive the same statement which we obtained in Chapter 3, data collection via an interview with drivers regarding condition and performance of their vehicles below 5 years of age. It was revealed that these younger vehicles have a better usage. In other words they were cost effective, had a less downtime, less repair cost and fuel efficient. In this study it s observed that usage slightly decrease with age and it rapidly decrease after lOyears of age in vehicle types such as cars, jeeps and double cabs. And in lorries and vans after 15 years since they 've built for hard use than previously mentioned vehicle types. Finally we can give the following statements. • Vehicles like cars, jeeps and double cabs should be replaced after 10 years • Lorries and vans should be replaced after 15 years In the previous Subchapter 1.12 Existing fuel policy is discussed. It has some failures when it comes to refueling because drivers can do malpractice or pilferage. When fuel order (General 231) (Refer APENDIX III) is used, drivers can refuel in specified fuel station only. And when drivers go out of the city; they cannot refuel using this orders. Therefore fleet manager have to face difficulties to avoid such problems and to improve fleet efficiency. It 's better to introduce electronic fuel card system. It can be used island wide and this can minimize pilferage and accounts could be kept accurately. As we discussed in Subchapter 2.3 and Table 2.1 new vehicle prices are very high cause of unreasonable duty structure practiced by the government. Therefore the government shall give a duty concession for government institutions so as to purchase new vehicles and to improve their fleet management fleet efficiency. Also it was discussed that spare part prices have also increased by unafifordable amounts. In APPENDIX III you can see that price of a 55 brand new Mitsubishi double cab with 4D56 engine was Rs 863,476 in year 1995 and in 2008 price only for 4D56 engine nearly Rs 4 million. When analyzing these prices the fact that even duties for spares are excessive was revealed. So as to rehabilitate old vehicles in the government fleets; government itself has to take decision to cut down spare part prices by reducing taxes. According to the Table 4.3, we can see that there is a significant difference in number of km driven by a new (0-5 years) and old (15-20 years) and it is 13140 km. It is more than the number of km driven by an old double cab. It should be noted that the maintenance costs incurred by both vehicles. A new double cab is having Rs. 62506 maintenance cost while an old double cab is incurring maintenance cost of Rs. 131000 for the base year 2008. Further according the calculation made for the variable cost per km was Rs. 25.70 for an old double cab and Rs. 13.38 for a new double cab. Therefore it is better to determine to take a decision to make replacement policy so as to improve the efficiency of government vehicle fleet management than rehabilitation of old vehicles. When we study on vehicle fleet management; i t 's better to consider impact of depreciation cost is 10% per year for a vehicle; proportional to its purchasing value according to government procedures. After 10 years book value of the vehicle will be zero. According to this study major repairs such as engine, gear box, suspension, break system, electrical system and body repairs etc. of vehicles occur after 10 years. As an example at this stage it'll take approximately Rs 3 million to recondition a jeep and Rs 6.5 million to buy a new one. Though it seems that reconditioning the vehicle is cheap, when we consider the quality of the vehicle, fuel efficiency, safety, reliability etc. of the new vehicle is very much greater than the rehabilitated one. Since rehabilitation cost of old vehicle is added to its capital; capital costs of old and new vehicle will be nearly equal. But reselling price of rehabilitated old vehicle after 5years will be lower than reselling price of the new vehicle used for 5years or even lOyears. Therefore it 's clear that replacing older vehicles by new vehicles is very much cost effective than rehabilitating old vehicles. 56 Chapter 06 RECOMMENDATION According to this research it was found that government fleet management system does not have a proper vehicle replacement policy. Because of that old vehicle population is high in government fleets. As well repair, maintenance, downtime and fuel costs were very high. And utilization of fleet was low. Therefore to minimize generalize cost and improve fleet efficiency; government need to introduce proper vehicle replacement criteria and make proper vehicle replacement policy. These policies may help to minimize fleet cost and following operational achievement. • Reduction of fleet size • Reduction of transport capital budget • Reduction of operational transport cost • Achieve transport availability • Achieve utilization When we make replacement policy it 's recommended to consider vehicle age, life usage (km driven) and life t ime repair cost. Recommended replacement criteria The following guideline provide minimum replacement goal for the routine replacement of vehicles. 57 / Vehicle Replacement Criteria Table 6.1 Vehicle Type Purpose Replacement goal (Age or km) Cars Staff transport 10 years 150,000km Double cabs and SUVs (Jeeps) Passenger transport, Light hauling 10 years 200,000km Vans and minibuses Staff transport and light hauling 15 years 300,000km Lorries Hauling 15 years 300,000 km To achieve our main objective which is to improve vehicle fleet management in government institutions we may use the above recommendations obtained after this study. Reference [1] Pint Ellen M., Lisa Pelled Colabella. et al. 2008. Improving Recapitalization Planning Toward a Fleet Management Model for the High-Mobility Multipurpose Wheeled Vehicle. P. 17 [2] Fleet Management Model Study. US Army [3] Munasinghe Moahan. Kumarage A. et al. 2003. Sustainable Transport for Sri Lanka. [4] JLARC of the Virginia General Assembly, 2004. House of Document No 05. Review of the State's Passenger Vehicle Fleet, p. 56. [5] 2003. State vehicle fleet management plan. Texas [6] http://www.transaid.org [September 23 2009] [7] http://www.sfbos.org/index.aspx?page=3774 [October 6, 2009] [8] San Francisco, n.d [9] Sugathapala. A.G.T. Air pollution and Control in Transport Sector. Lecture Notes M.Eng/PG Diploma in Highways & Transport Engineering. Department of Mechanical Engineering. University of Moratuwa [10] Jayaweera. 2001. http://www.un.org/esa/gite/iandm/iayaweerapaper.pdf [September 23 2009] [11] Liyanage.D. 2006. Procurement Manual. National Procurement Agency. Democratic Socialist Republic of Sri Lanka, p.40-41) p.87 59 http://www.transaid.org http://www.sfbos.org/index.aspx?page=3774 http://www.un.org/esa/gite/iandm/iayaweerapaper.pdf § e«9 «CO>&9Maaî£> ®o¥ 2(57 General 267 (Booklet F ' cap 4 to) 11/55 Department c t o s s a © ( - j c r i a d c o d i VEHICLE L O G B O O K Cf=SKS I Departmental Number Registration Number 60 9 i s 9®3«ftfiS / FUEL CONSUMPTION ©jê sd g0» «*»gB <»4&e> 86 oOfis 1 msueOOs 1 Authorised M. P. G. With Load ! Without Load J M P. G. isqSmaaS Sg^ ta <}£® SS®3 «ag Action taken to remedy defect, if any o3s>'sk> SvjcJj&isad qafcssn Signature of Testing Officer Tested on 86o0&> With Load S6 OVyXSOOS Without Load isqSmaaS Sg^ ta <}£® SS®3 «ag Action taken to remedy defect, if any o3s>'sk> SvjcJj&isad qafcssn Signature of Testing Officer • 1 3 - H 20217 61 26 ffdsfeiSai S 3 ® I REPAIRS Workshop Dale tsosari Ojrsg-3 co«tsi Miiometer Reading o>e eog atMOd 6g»r r OjssaSs! Works executed and briefly parts used caoSd In Out In SuntSO Out o>e eog atMOd 6g»r r OjssaSs! Works executed and briefly parts used - 62 Appendix II International Standard Preventive maintenance schedule for efficient fleet management UNTAES TRANSPORT SECTION WORK ORDER No: G:.AO BOX. RESESVOff* 8 AXi.PS Ô̂T'i IfiSTJtyŵTS $ VWRK COfcfiSCTiOHS All STOWS. SUSWOWCW t «HOC* JOINTS ANO 8B6M6 AS RCQUMO' EXHAUST SYSTEM A vVlRER S: AMS BUBBERS tutrm fua. s weieeftNOOuMPS BOGY, SEATSELTS, SEATS A F.m. TAW '.vr:/: WAŜf R A" CONMEATHtOtfflSSTlR CH£CK ;N R-tft (MFSCL i TOOLS S gQlWWir OTHER ACCSSSGSWS BOA," TEST cuitcu WiSSCRS & UNUSUAL < rmma mmime tmm 8-MAINTENANCE CMAM8S Ki. FREE ̂ ..Ay. CLUTCH a 6RAK£ - ~c.Ai.tj WW S tm» AW riiTER aaetsT . BATE OUT: C- MAINTENANCE (EVERY 533.000 KMS) M ADD: ; :0M TO A S s Si/.VJS H&iWSPAflK HMMl «*W»S» «08W»«COMCWSW Repi-ACife. CH2CK CYi-fNdgA :F fl£QU;«Et- ADJUST VAi.VfS & rl&PuAUc P REQWHED CAftsuHSTOR 3CS.T&tA,T8 ?, ADJUST IDi AP»L:CAe: t RfiRACP A:R RI.T33* ASPECT mSC T*ADS & V.HiNGS mum WHES. taw**) CHECK TOE-iM & .AOTATP TYf̂S A CHAWSE D ..*!*•: .OS-mAMSMISS i ETC. AS REHSOMSNDeU 8'' M.1!! RgPtAGE A3 NSCES&ART D - MAINTENANCE S c msmmmcn CM5C*fiu.T»i OLAIS . RSiPLACS !f mOMm» antes aATfssv - «t»iA6s IF NECKS®*- w«»»»«*».je>Mf mttrnm WEBKAi)i. ALTeBHATCMASrARTES REPLACE SUSR&S'ORS ASAeaeRS} (mimcm RSCONSITKSK :* -t .u.rc-or*-, Si.fM ma adjust cms. ** MMNWWtiGt WAV BsfejOcfe :Fowsiwtwa COHKX f.t)HS CAUS »or» if BNAL TEST BY; DATE: RECEIVED IN GOOD ORDER 8¥; NAME: HQ- ID# 65 Maintenance Record Card TOOLS & EQUIPMENT ISSUED Tripticket Bag Veh. Documents UN Flag Blue Flag Jerry Can Spout/Funnel Tow Wire Shackles Jack with Base Wheel Wrench First-Aid Kit No. Safety Belts Fan Belt Fire Exting Tool Bag Open Spanner Screw Driver MAINTENANCE RECORD CARD The Driver of this vehicle is strictly forbidden to carry any passengeres except those specifically authorized by the United Nations Protection Force. UNPROFOR T R A N S P O R T SECTION LAST MAINTENANCE CARRIED OUT AT Km Place Date Signature NEXT MAINTENANCE A. B. C. D. DUE AT KM. (Source: UNO) 66 Maintenance Record Card • * Only Personnel in possession of a valid »UNPROFOR Drivers Permit« are permitted to drive this vehicle. * It is the responsibility of the UNPROFOR Staff Member to whom this vehicle is assigned to assure that the vehicle is brought to workshop for repair and maintenance as and when required and at least once a month. Trip Tickets must be property filled out at the end of each trip and should, when possible, be handed in WEEKLY to the MTO. •The SPEED of this vehicle must never exceed KPH. (Except in emergency). * In Case of Accident: 1. Stop Vehicle immediately. 2. Assist any injured parties. 3. Do not move vehicle from the scene unless it is a danger to other traffic or on instructions from local police. 4. Notify local police and nearest UNPROFOR office. 5. Fill out Accident Report Form (placed in Trip Ticket Folder) in duplicate. Vehicle Maintenance every 5000 Kms. MA! NT. DATE KM. GARAGE/MECH A B A C A J B A C i A B A C A B A D REMARKS TYRE PRESSURE: LBS. KGS. FRONT: REAR: (Source: UNO) 67 Manufacturers recommended maintenance schedule i Maintenance item Service to be performed Service required at indicated distance 1*1.000 Km) Remarks 6. Fuel filter Replace fuel filter 20 40 60 30 100 Remarks 9. Distributor cap, rotor and spark advancer !tor breaker point - lens-typo distribu- tor only) Check the condition of distributor cap rotor and spark advancer o o o 11. Timing belt Check ignition tables for damage Roplacs timing belt O o o o o 12. Crankcase emission control system Check operation of crankcass emission control system O o o o o — 13. Fuel vapor hoses and crankcase ventilation hoses Check fuel vapor hoses and c JLL-̂ 14 d pWv-^fi, UJLUJ 7. Brakes i , t-^oj'ivu. Q ', | iCW^vj j 14 e Hr* Ura-iiJ 'p-u-w, p , o \ -f i f 1 i 1 UNITED MOTORS LANKA PIC, 8. Cooling System ~. M^JEb^.FLACE, • ' mjvsdDAvl&fre, TEL: 253}382-4, 2572466, 233931? 9. Electrical 5. t-ront Axel / Suspension 10. O the rp_ ^ ^ Oo4t4 W i M U cupp-iro-K ~ AooooOO/-. Please contact our Service Advisor K.9, for furtteUcJormaiton, Tel O T l l l t e M A , Date u JSLSdas f cS Signature 70 APPENDIX IV Government fuel order covBBssaarx o r d b s m; 331 (Oris. R2 'L Blu», Dm). 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