Scheduling deliveries under uncertainty

Adriana Gabor, Rommert Dekker, Timon van Dijk and Peter van Scheepstal

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: 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.

Keywords: T57.79; distribution problems; stochastic scheduling (search for similar items in EconPapers)
JEL-codes: L23 M M11 R4 (search for similar items in EconPapers)
Date: 2009-06-25
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