Models and algorithms for Integration of Vehicle and Crew Scheduling

Richard Freling, Dennis Huisman () and Albert Wagelmans

ERIM Report Series Research in Management from Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam

Abstract: This paper deals with models, relaxations and algorithms for an integrated approach to vehicle and crew scheduling. We discuss potential benefits of integration and provide an overview of the literature, which considers mainly partial integration. Our approach is new in the sense that we can tackle integrated vehicle and crew scheduling problems of practical size. We propose new mathematical formulations for integrated vehicle and crew scheduling problems and we discuss corresponding Langrangian relaxations and Lagrangian heuristics. To solve the Lagrangian relaxations, we use column generation applied to set partitioning type of models. The paper is concluded with a computational study using real life data, which shows the applicability of the proposed techniques to practical problems. Furthermore, we also address the effectiveness of integration in different situations.

Keywords: Lagrangian relaxation; column generation; crew scheduling; integrated planning; vehicle scheduling (search for similar items in EconPapers)
JEL-codes: C6 M M11 R4 (search for similar items in EconPapers)
Date: 2000-05-19
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Citations: View citations in EconPapers (22)

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Persistent link: https://EconPapers.repec.org/RePEc:ems:eureri:23

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