Decision tool for demand driven dispatching; airlines perspective

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dc.contributor.authorMisharaf, SHM
dc.contributor.authorAdikarawattage, V
dc.contributor.editorGunaruwan, TL
dc.date.accessioned2022-04-27T03:30:38Z
dc.date.available2022-04-27T03:30:38Z
dc.date.issued2017-07
dc.descriptionThis research identifies and studies the cost implications of revenue gain or loss which occurs with the demand driven dispatching and Microsoft Office Excel spreadsheet based decision support tool will identify the optimum re-assignment of aircraft with maximum revenue gained. When reassigning aircraft with actual demand, the following six cost components are considered: a. Changes in Fuel Cost b. Changes in Crew Costs c. Changes in Air Navigational Charges d. Changes in Airport Charges e. Loss of Revenues from Swapping Aircraft in a Scheduled Route (First leg) f. Loss of revenues from Placing a Different Aircraft in a Scheduled Flight Arc (second leg) After identifying these cost components, they will be compared with the additional revenue gained from the fleet after swapping. The following are the two-revenue generation components considered. a. Revenue Gained in Each and Every Swapped Pair in First Leg b. Revenue Gained in Each and Every Swapped Pair in Second Leg All cost components and revenue generation will be summed and compared with every possible swapping iteration in order to identify the swapping iteration with maximum revenue gain.en_US
dc.identifier.citationMisharaf, S.H.M., & Adikarawattage, V. (2016). Decision tool for demand driven dispatching; airlines perspective [Extended Abstract]. In T.L. Gunaruwan (Ed.), Proceedings of 2nd International Conference on Research for Transport and Logistics Industry 2017 (pp. 137-141). Sri Lanka Society of Transport and Logistics. https://slstl.lk/r4tli-2017/en_US
dc.identifier.conference2nd International Conference on Research for Transport and Logistics Industry 2017en_US
dc.identifier.departmentDepartment of Transport and Logistics Managementen_US
dc.identifier.facultyEngineeringen_US
dc.identifier.pgnospp. 137-141en_US
dc.identifier.placeColomboen_US
dc.identifier.proceedingProceedings of 2nd International Conference on Research for Transport and Logistics Industry 2017en_US
dc.identifier.urihttp://dl.lib.uom.lk/handle/123/17720
dc.identifier.year2017en_US
dc.language.isoenen_US
dc.publisherSri Lanka Society of Transport and Logisticsen_US
dc.relation.urihttps://slstl.lk/r4tli-2017/en_US
dc.subjectDemand driven dispatchingen_US
dc.subjectRevenue managementen_US
dc.subjectFleet planningen_US
dc.subjectCapacity optimisationen_US
dc.subjectYield managementen_US
dc.titleDecision tool for demand driven dispatching; airlines perspectiveen_US
dc.typeConference-Extended-Abstracten_US

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