An Adaptive Large Neighborhood Search Heuristic for Jointly Solving Storage Location Assignment and Picker Routing Problem

Necati Aras () and Berk Görgülü ()
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Necati Aras: Boğaziçi University
Berk Görgülü: Boğaziçi University

A chapter in Operations Research Proceedings 2018, 2019, pp 301-307 from Springer

Abstract: Abstract We focus on the order picking operation carried out in one of the major warehouses of a retailer to satisfy the orders placed by the stores of the same retailer. We investigate the simultaneous solution of the storage assignment problem and picker routing problem referred to as JSAPRP that involves both assigning items to storage locations and deciding on the routes of the pickers for item collection. The performance measure of interest is the minimization of the total traveling distance of the pickers. We develop a mathematical model which can only solve small instances of the JSAPRP. Therefore, we also devise a heuristic method based on adaptive large neighborhood search. Computational results obtained on numerous experiments reveal that the quality of the solutions produced by this heuristic is quite good.

Keywords: Warehouse; Order picking; Storage assignment; Picker routing; Adaptive large neighborhood search (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-030-18500-8_38

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DOI: 10.1007/978-3-030-18500-8_38

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