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Scheduling deliveries under uncertainty

Author

Listed:
  • Gabor, A.F.
  • Dekker, R.
  • van Dijk, T.
  • van Scheepstal, P.

Abstract

Quite often transportation companies face two types of jobs, ones which they can plan themselves and ones which have to be done on call. In this paper we study the scheduling of these jobs, while we assume that job durations are known beforehand as well as windows in which the jobs need to be done. We develop several heuristics to solve the problem at hand. The most successful are based on defining an appropriate buffer. The methods are assessed in extensive experiments on two aspects, viz. efficiency, in the sense that they carry out many jobs and certainty, in the sense that they provide information beforehand about which jobs they will execute.

Suggested Citation

  • Gabor, A.F. & Dekker, R. & van Dijk, T. & van Scheepstal, P., 2009. "Scheduling deliveries under uncertainty," ERIM Report Series Research in Management ERS-2009-040-LIS, 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.
    • Handle: RePEc:ems:eureri:16236
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    File URL: https://repub.eur.nl/pub/16236/ERS-2009-040-LIS.pdf
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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    T57.79; distribution problems; stochastic scheduling;
    All these keywords.

    JEL classification:

    • L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production
    • M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics

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