Order picking in an automatic warehouse: Solving online asymmetric TSPs
Norbert Ascheuer,
Martin Grötschel and
Atef Abdel-Aziz Abdel-Hamid
Mathematical Methods of Operations Research, 1999, vol. 49, issue 3, 515 pages
Abstract:
We report on a joint project with industry that had the aim to sequence transportation requests within an automatic storage system in such a way that the overall travel time is minimized. The manufacturing environment is such that scheduling decisions have to be made before all jobs are known. We have modeled this task as an online Asymmetric Traveling Salesman Problem (ATSP). Several heuristics for the online ATSP are compared computationally within a simulation environment to judge which should be used in practice. Compared to the priority rule used so far, the optimization package reduced the unloaded travel time by about 40%. Because of these significant savings our procedure was implemented as part of the control software for the stacker cranes of the storage systems. Copyright Springer-Verlag Berlin Heidelberg 1999
Keywords: Key words: Traveling Salesman Problem; online-algorithm; automatic storage system (search for similar items in EconPapers)
Date: 1999
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Citations: View citations in EconPapers (5)
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Persistent link: https://EconPapers.repec.org/RePEc:spr:mathme:v:49:y:1999:i:3:p:501-515
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DOI: 10.1007/s001860050064
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