Dynamic scheduling of recreational rental vehicles with revenue management extensions
| Autor: | Andreas T. Ernst, Philip Kilby, Mark E. T. Horn, Mohan Krishnamoorthy |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Marketing
Tariffication Rate of return 021103 operations research Revenue management Operations research Job shop scheduling business.industry Computer science Strategy and Management 0211 other engineering and technologies Context (language use) 02 engineering and technology Dynamic priority scheduling Management Science and Operations Research Flow network Purchasing Management Information Systems Renting Vehicle routing problem 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Project management business |
| Zdroj: | Journal of the Operational Research Society. 61:1133-1143 |
| ISSN: | 1476-9360 0160-5682 |
| DOI: | 10.1057/jors.2009.78 |
| Popis: | The rental fleet scheduling problem (RFSP) arises in vehicle-rental operations that offer a wide variety of vehicle types to customers, and allow a rented vehicle to 'migrate' to a setdown depot other than the pickup depot. When there is a shortage of vehicles of a particular type at a depot, vehicles may be relocated to that depot, or vehicles of similar types may be substituted. The RFSP involves assigning vehicles to rentals so as to minimise the costs of these operations, and arises in both static and online contexts. The authors have adapted a well-known assignment algorithm for application in the online context. In addition, a network-flow algorithm with more comprehensive coverage of problem conditions is used to investigate the determination of rental pricing using revenue management principles. The paper concludes with an outline of the algorithms' use in supporting the operations of a large recreational vehicle rental company. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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