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dc.contributor.advisor Cooray, TMJA
dc.contributor.author Wijesekera, AK
dc.date.accessioned 2019-01-23T01:50:05Z
dc.date.available 2019-01-23T01:50:05Z
dc.identifier.citation Wijesekera, A.K. (2012). Preventive maintenance model for automated filling machine [Master's theses, University of Moratuwa]. Institutional Repository University of Moratuwa. http://dl.lib.mrt.ac.lk/handle/123/13835
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/13835
dc.description.abstract Maintenance, repair, and operations are very crucial factors for both manufacturing and service industries. Methodologies like Preventive Maintenance (PM), Planned Maintenance, and Predictive Maintenance deal well with the issues ofmaintenance all over the world. Preventive maintenance is a schedule of planned maintenance actions aimed at the prevention of breakdown and failures. The principle of PM is identified as “prevention is better than cure”. Sri Lankan industries too have identified the importance of preventive maintenance. This research is carried out to develop a preventive maintenance model for an automated filling machine for a well-known yoghurt manufacturing company in Sri Lanka. Trouble choosing areas were production output delays due to machine breakdowns and due to other various reasons such as poor maintenance planning and inefficiency in money spending on maintenance activities etc. This report evaluates the maintenance policy that has been applied in the company. Theory of Weibull and Dodson’s tabular solution were used to build a preventive maintenance models and to find optimum time between PM actions for critical components. New PM schedule was implemented after determine the optimum time for PM actions. The importance of a maintenance policy for a company and the benefits of keeping past maintenance records are highlighted in this report. Further new method of implementing PM model and PM schedule was also introduced. Moreover, these models will be beneficial to all other departments of a company other than maintenance department. Maintenance, repair, and operations are very crucial factors for both manufacturing and service industries. Methodologies like Preventive Maintenance (PM), Planned Maintenance, and Predictive Maintenance deal well with the issues ofmaintenance all over the world. Preventive maintenance is a schedule of planned maintenance actions aimed at the prevention of breakdown and failures. The principle of PM is identified as “prevention is better than cure”. Sri Lankan industries too have identified the importance of preventive maintenance. This research is carried out to develop a preventive maintenance model for an automated filling machine for a well-known yoghurt manufacturing company in Sri Lanka. Trouble choosing areas were production output delays due to machine breakdowns and due to other various reasons such as poor maintenance planning and inefficiency in money spending on maintenance activities etc. This report evaluates the maintenance policy that has been applied in the company. Theory of Weibull and Dodson’s tabular solution were used to build a preventive maintenance models and to find optimum time between PM actions for critical components. New PM schedule was implemented after determine the optimum time for PM actions. The importance of a maintenance policy for a company and the benefits of keeping past maintenance records are highlighted in this report. Further new method of implementing PM model and PM schedule was also introduced. Moreover, these models will be beneficial to all other departments of a company other than maintenance department. en_US
dc.language.iso en en_US
dc.subject MATHEMATICS-DISSERTATION
dc.subject OPERATIONAL RESEARCH-DISSERTATION
dc.subject PREVENTIVE MAINTENANCE MODEL
dc.subject Automated Filling Machine
dc.subject MSc in Operational Research
dc.title Preventive maintenance model for automated filling machine en_US
dc.type Thesis-Abstract en_US
dc.identifier.faculty Engineering en_US
dc.identifier.degree Master of Science in Operational Research en_US
dc.identifier.department Department of Mathematics en_US
dc.date.accept 2012-12
dc.identifier.accno 105311 en_US


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