Title: Product allocation of warehousing and cross docking: a genetic algorithm approach

Authors: Amin Soleimaninanadegany; Adnan Hassan; Masoud Rahiminezhad Galankashi

Addresses: Department of Material, Manufacturing and Industrial Engineering, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, 81310 UTM Skudai, Johor, Malaysia ' Department of Material, Manufacturing and Industrial Engineering, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, 81310 UTM Skudai, Johor, Malaysia ' Department of Material, Manufacturing and Industrial Engineering, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, 81310 UTM Skudai, Johor, Malaysia

Abstract: In spite of the vast amount of researches on product allocation to distribution centres, allocating different products by considering different scenarios to plan the cross docking and warehouse operations is less investigated. To fill this gap, this research was conducted rationally to allocate different products to a distribution centre aligned with analysing different scenarios. The research case study was a distribution centre located in the South East of Asia supplying 19 different products (Li et al., 2008). A genetic algorithm was used to allocate different products to both cross dock and warehouse considering processing cost, demand, capacity and related constraints.

Keywords: distribution centres; product allocation; cross dock; warehouse; genetic algorithm.

DOI: 10.1504/IJSOM.2017.083767

International Journal of Services and Operations Management, 2017 Vol.27 No.2, pp.239 - 261

Received: 18 Aug 2015
Accepted: 24 Oct 2015
Published online: 22 Apr 2017 *

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