A multi-objective model for minimising makespan and total travel time in put wall-based picking systems. Issue 1 (6th May 2020)

• Record Type: Journal Article
• Authors: Ardjmand, Ehsan; Youssef, Eyad M.; Moyer, Adam; II, William A. Young; Weckman, Gary R.; Shakeri, Heman
• Is Part Of: International journal of logistics systems and management. Volume 36:Issue 1(2020)
• Page Start: 138
• Page End: 176
• Publication Date: 2020-05-06
• Subjects: order batching -- picker routing -- order picking -- put wall -- genetic algorithm -- simulated annealing; Business logistics -- Periodicals; 658.5005
• Languages: English
• ISSNs: 1742-7967

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.