An integrated order batching and picker routing problem

Martin Bué 1 Diego Cattaruzza 2 Maxime Ogier 2 Frédéric Semet 2
2 INOCS - Integrated Optimization with Complex Structure
ULB - Université Libre de Bruxelles [Bruxelles], Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Abstract : This article addresses an integrated warehouse order picking problem. The company HappyChic is specialized in men’s ready-to-wear. A central warehouse is dedicated to supplying, every day, the shops of one brand. We focus on the picking area of this warehouse which relies on human picking system. For each period of a working day, a set of customer orders has to be prepared. An order is a set of product references, with quantities, i.e., the numbers of items required. The problem consists in jointly deciding: (1) the division of orders into several boxes, respecting weight and size constraints; (2) the batching of boxes into trolleys, that implicitly defines the routing into the picking area. The objective function aims to minimize the total distance. To deal with the large size instances of HappyChic in short computation times, we design a heuristic method based on the split and dynamic programming paradigms. The results are very convincing: the total covered distance decreases by more than 20%. Moreover, we propose an adaptation of the algorithm to prepare homogeneous boxes with respect to classes of products.
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Submitted on : Thursday, July 26, 2018 - 3:58:27 PM
Last modification on : Friday, April 19, 2019 - 4:55:24 PM
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  • HAL Id : hal-01849980, version 1


Martin Bué, Diego Cattaruzza, Maxime Ogier, Frédéric Semet. An integrated order batching and picker routing problem. 2018. ⟨hal-01849980⟩



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