A multi-objective model for minimising makespan and total travel time in put wall-based picking systems

Ehsan Ardjmand, Eyad M. Youssef, Adam Moyer, William A. Young Ii, Gary R. Weckman and Heman Shakeri

International Journal of Logistics Systems and Management, 2020, vol. 36, issue 1, 138-176

Abstract: In this study, a multi-objective order batching and picker routing model for minimising the total travel time and makespan in a put wall-based picking system is proposed. A put wall is a hardware composed of containers that is usually used as a sorting station. Put walls usually have limited capacity and can accommodate only a part of received orders at a time. Thus, in put wall-based picking systems, order batching and picker routing should be considered along with the scheduling of the orders on the put wall. To solve the problem, a genetic algorithm (GA), a coevolutionary genetic algorithm (COGA) and an archived multi-objective simulated annealing (AMOSA) are proposed. It is found that GA and COGA offer a more diverse set of solutions to the problem compared to AMOSA.

Keywords: order batching; picker routing; order picking; put wall; genetic algorithm; simulated annealing. (search for similar items in EconPapers)
Date: 2020
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