A multi-objective model for minimising makespan and total travel time in put wall-based picking systems
by Ehsan Ardjmand; Eyad M. Youssef; Adam Moyer; William A. Young II; Gary R. Weckman; Heman Shakeri
International Journal of Logistics Systems and Management (IJLSM), Vol. 36, No. 1, 2020

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.

Online publication date: Mon, 11-May-2020

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