A multi-objective model for order cartonization and fulfillment center assignment in the e-tail/retail industry. (July 2018)

• Record Type: Journal Article
• Authors: Ardjmand, Ehsan; Sanei Bajgiran, Omid; Rahman, Shakil; Weckman, Gary R.; Young, William A.
• Is Part Of: Transportation research. Volume 115(2018)
• Page Start: 16
• Page End: 34
• Publication Date: 2018-07
• Subjects: E-commerce -- Retail -- Fulfillment center assignment -- Cartonization -- Mathematical modeling; Logistics -- Periodicals; Transportation -- Periodicals; 388.011
• DOI: 10.1016/j.tre.2018.04.005
• Languages: English
• ISSNs: 1366-5545

Abstract

Highlights: Two models for joint order cartonization and FC assignment are proposed. A multi-objective genetic algorithm is used to solve the problem. Integrating cartonization into order fulfilment improves shipping cost and time. Abstract: In this study, two decoupled and integrated integer programming models for joint order cartonization and FC assignment in the retail industry are proposed. Moreover, a multi-objective genetic algorithm (GA) with a NSGA-II selection operator is introduced. The results of applying integrated and decoupled models, along with the proposed GA to the problem, show the efficiency of the proposed decoupled model and the ability of the proposed GA in exploring the tradeoff between cost and time of the fulfillment process. Moreover, it is observed that integrating cartonization into order fulfilment improves overall shipping cost and time.