Treffer: Joint Order Batching and Picker Routing Problem including congestion

Title:
Joint Order Batching and Picker Routing Problem including congestion
Contributors:
Integrated Optimization with Complex Structure (INOCS), Centre Inria de l'Université de Lille, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université libre de Bruxelles (ULB)-Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Ecole Nationale Supérieure des Mines de St Etienne (ENSM ST-ETIENNE), Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes (LIMOS), Ecole Nationale Supérieure des Mines de St Etienne (ENSM ST-ETIENNE)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA)-Institut national polytechnique Clermont Auvergne (INP Clermont Auvergne), Université Clermont Auvergne (UCA)-Université Clermont Auvergne (UCA), INSA Lyon, ANR-19-CE10-0014,AGIRE,Aide à la Gestion Intelligente des Ressources dans les Entrepôts(2019)
Source:
ROADEF 2022 - 23ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, INSA Lyon, Feb 2022, Villeurbanne - Lyon, France
Publisher Information:
CCSD, 2022.
Publication Year:
2022
Collection:
collection:PRES_CLERMONT
collection:CNRS
collection:INRIA
collection:INRIA-LILLE
collection:INRIA_TEST
collection:LIMOS
collection:TESTALAIN1
collection:CRISTAL
collection:INRIA2
collection:TDS-MACS
collection:CRISTAL-INOCS
collection:UNIV-LILLE
collection:ANR
collection:CLERMONT-AUVERGNE-INP
collection:ROADEF2022
Subject Geographic:
Original Identifier:
HAL: hal-03595306
Document Type:
Konferenz conferenceObject<br />Conference papers
Language:
English
Rights:
info:eu-repo/semantics/OpenAccess
Accession Number:
edshal.hal.03595306v1
Database:
HAL

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National audience
At the operational level, warehouse management mainly focuses on the efficient execution of the picking process. In this work, we investigate the picking activities, that consist in collecting all the products of a given set of customer orders. Products are located into a warehouse in a set of parallel vertical aisles. To collect them, human operators push a trolley with a fixed capacity. As a consequence of the trolley capacity, orders must be grouped into batches. Each batch is collected separately by a single picker. To retrieve all the products of the orders in a batch, each picker as to be routed in the warehouse in order to minimize the total distance or time. Usually, the works in the literature assume that no congestion exist in the warehouse, so given a set of batches, the route for each batch can be optimized independently. However, such a situation is far from reality.In this work we propose to model the delay produced by picker congestion, and provide a Mixed Integer Linear Program (MIP) formulation for the joint order batching and picker routing problem with picker congestion. Due to the characteristics of the human behavior, we propose a rough estimation of the level of congestion instead of an exact coordination of the pickers. Given the complexity of the model due to the introduction of a timing aspect, a two-steps solving procedure is described. Computational results are presented and discussed.