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Applying an Integrated Approach to Vehicle and Crew Scheduling in Practice

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Author Info
Freling, R.
Huisman, D.
Wagelmans, A.P.M. (Erasmus Research Institute of Management (ERIM), RSM Erasmus University)

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Abstract

This paper deals with a practical application of an integrated approach to vehicle and crew scheduling, that we have developed previously. Computational results have shown that our approach can be applied to problems of practical size. However, application of the approach to the actual problems that one encounters in practice, is not always straightforward. This is mainly due to the existence of particular constraints that can be regarded as \house rules" of the public transport company under consideration. In this paper we apply our approach to problems of individual bus lines of the RET, the Rotterdam public transport company, where particular constraints should be satisfied. Furthermore, we investigate the impact of allowing drivers to change vehicle during a break. Currently, the rule at the RET is that such changeovers are only allowed in split duties; they are never allowed in other type of duties. We show that it is already possible to save crews if for the non-split duties, restricted changeovers are allowed.

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Publisher Info
Paper provided by 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. in its series Research Paper with number ERS-2000-31-LIS Revision_Date: 2009-07-29.

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Date of creation: 12 Jul 2000
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Handle: RePEc:dgr:eureri:200033

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Related research
Keywords: vehicle scheduling; crew scheduling; integrated planning; column generation; Lagrangian relaxation;

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  1. Freling, R. & Huisman, D. & Wagelmans, A.P.M., 2000. "Models and algorithms for Integration of Vehicle and Crew Scheduling," Research Paper ERS-2000-14-LIS Revision_, 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 Uni. [Downloadable!]
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  2. R. Freling & R.M. Lentink & M.A. Odijk, 2000. "Scheduling train crews," Econometric Institute Report 195, Erasmus University Rotterdam, Econometric Institute. [Downloadable!]
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