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Using a TSP heuristic for routing order pickers in warehouses

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Author Info
Theys, Christophe
Bräysy, Olli
Dullaert, Wout
Raa, Birger
Abstract

In this paper, we deal with the sequencing and routing problem of order pickers in conventional multi-parallel-aisle warehouse systems. For this NP-hard Steiner travelling salesman problem (TSP), exact algorithms only exist for warehouses with at most three cross aisles, while for other warehouse types literature provides a selection of dedicated construction heuristics. We evaluate to what extent reformulating and solving the problem as a classical TSP leads to performance improvements compared to existing dedicated heuristics. We report average savings in route distance of up to 47% when using the LKH (Lin-Kernighan-Helsgaun) TSP heuristic. Additionally, we examine if combining problem-specific solution concepts from dedicated heuristics with high-quality local search features could be useful. Lastly, we verify whether the sophistication of [`]state-of-the-art' local search heuristics is necessary for routing order pickers in warehouses, or whether a subset of features suffices to generate high-quality solutions.

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Publisher Info
Article provided by Elsevier in its journal European Journal of Operational Research.

Volume (Year): 200 (2010)
Issue (Month): 3 (February)
Pages: 755-763
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Handle: RePEc:eee:ejores:v:200:y:2010:i:3:p:755-763

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Web page: http://www.elsevier.com/locate/eor

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Related research
Keywords: Routing Order picking Warehousing Logistics;

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This page was last updated on 2009-12-30.


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