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

Author

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  • Amin Soleimaninanadegany
  • Adnan Hassan
  • Masoud Rahiminezhad Galankashi

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.

Suggested Citation

  • Amin Soleimaninanadegany & Adnan Hassan & Masoud Rahiminezhad Galankashi, 2017. "Product allocation of warehousing and cross docking: a genetic algorithm approach," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 27(2), pages 239-261.
    • Handle: RePEc:ids:ijsoma:v:27:y:2017:i:2:p:239-261
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    Cited by:

    1. Jingya Wang & Jiusi Wen & Vukašin Pajić & Milan Andrejić, 2024. "Optimizing Cross-Dock Terminal Location Selection: A Multi-Step Approach Based on CI-DEA–IDOCRIW–MABAC for Enhanced Supply Chain Efficiency—A Case Study," Mathematics, MDPI, vol. 12(5), pages 1-20, February.

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