Static and Dynamic Order Scheduling for Recreational Rental Vehicles at Tourism Holdings Limited

Andreas T. Ernst (), Mark Horn (), Mohan Krishnamoorthy (), Philip Kilby, Phil Degenhardt () and Michael Moran ()
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Andreas T. Ernst: CSIRO Mathematical and Information Sciences, Canberra ACT 2601, Australia
Mark Horn: CSIRO Mathematical and Information Sciences, Canberra ACT 2601, Australia
Mohan Krishnamoorthy: CSIRO Mathematical and Information Sciences, Canberra ACT 2601, Australia
Philip Kilby: Research School of Information Sciences and Engineering, Australian National University, Canberra ACT 0200, Australia
Phil Degenhardt: Platinum Ray Pty. Ltd., Hillside, Victoria 3037, Australia
Michael Moran: Platinum Ray Pty. Ltd., Hillside, Victoria 3037, Australia

Interfaces, 2007, vol. 37, issue 4, 334-341

Abstract: 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 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.

Keywords: rental-scheduling applications; network-flow algorithms; assignment problems; revenue management (search for similar items in EconPapers)
Date: 2007
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