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Static and Dynamic Order Scheduling for Recreational Rental Vehicles at Tourism HoldingsLimited

Ernst, Andreas T.; Horn, Mark; Krishnamoorthy, Mohan; Kilby, Philip; Degenhardt, Phil; Moran, Michael

Description

Tourism Holdings Limited (THL), with 14 locations in Australia and New Zealand, operates a fleet of approximately 4,000 recreational rental vehicles of many types. It allocates vehicles to bookings centrally. If demand for a particular vehicle type at a location exceeds supply, THL may substitute vehicles of similar types or relocate vehicles from other locations to the location that needs the vehicles. The static problem that THL faces daily is to determine a vehicle schedule that minimizes...[Show more]

dc.contributor.authorErnst, Andreas T.
dc.contributor.authorHorn, Mark
dc.contributor.authorKrishnamoorthy, Mohan
dc.contributor.authorKilby, Philip
dc.contributor.authorDegenhardt, Phil
dc.contributor.authorMoran, Michael
dc.date.accessioned2015-12-08T22:44:49Z
dc.date.available2015-12-08T22:44:49Z
dc.identifier.issn0092-2102
dc.identifier.urihttp://hdl.handle.net/1885/37565
dc.description.abstractTourism Holdings Limited (THL), with 14 locations in Australia and New Zealand, operates a fleet of approximately 4,000 recreational rental vehicles of many types. It allocates vehicles to bookings centrally. If demand for a particular vehicle type at a location exceeds supply, THL may substitute vehicles of similar types or relocate vehicles from other locations to the location that needs the vehicles. The static problem that THL faces daily is to determine a vehicle schedule that minimizes the tangible and intangible costs of such substitutions and relocations. The dynamic problem is to determine-sometimes as the customer waits-whether a vehicle will be available to cover a potential booking and to incorporate that booking into the schedule. The Commonwealth Scientific and Industrial Research Organisation (CSIRO) has researched, developed, and supplied software, VASS and D-VASS, to solve the static and dynamic aspects of THL's schedule creation and maintenance. This paper describes the THL problem, the systems that CSIRO implemented, and how THL embedded these systems into its operations.
dc.publisherInstitute for Operations Research and the Management Sciences (INFORMS)
dc.sourceInterfaces (Linthicum)
dc.subjectKeywords: Assignment problems; Network-flow algorithms; Rental-scheduling applications; Revenue management
dc.titleStatic and Dynamic Order Scheduling for Recreational Rental Vehicles at Tourism HoldingsLimited
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume37
dc.date.issued2007
local.identifier.absfor080199 - Artificial Intelligence and Image Processing not elsewhere classified
local.identifier.ariespublicationu8803936xPUB150
local.type.statusPublished Version
local.contributor.affiliationErnst, Andreas T., CSIRO Mathematical and Information Sciences
local.contributor.affiliationHorn, Mark, CSIRO Mathematical and Information Sciences
local.contributor.affiliationKrishnamoorthy, Mohan, CSIRO Mathematical and Information Sciences
local.contributor.affiliationKilby, Philip, College of Engineering and Computer Science, ANU
local.contributor.affiliationDegenhardt, Phil, Platinum Ray Pty Ltd
local.contributor.affiliationMoran, Michael, Platinum Ray Pty Ltd
local.bibliographicCitation.issue4
local.bibliographicCitation.startpage334
local.bibliographicCitation.lastpage341
local.identifier.doi10.1287/inte.1060.0265
dc.date.updated2015-12-08T10:48:04Z
local.identifier.scopusID2-s2.0-38849168262
CollectionsANU Research Publications

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