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Evaluating warehouse strategies for two-product class distribution planning

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  • Bradley Guthrie
  • Pratik J. Parikh
  • Nan Kong

Abstract

Distribution networks often manage products with varying life cycles, where demand for some products is relatively stable throughout the year (basic) and the demand for others is short-lived (fashion). Beyond the coordination of inventory and transportation decisions, decisions at the warehouse must be considered as its resources are frequently shared by both product classes simultaneously. For this two-product class distribution planning problem, we focus on characterising three real-world distribution strategies observed in industry and evaluating them based on total distribution cost and warehouse measures (e.g. workforce plan and workload variation) against a benchmark ILS-based heuristic. Experimental results suggest that there are in fact strategies in industry that under specific system configurations may provide competitive solutions compared to the benchmark heuristic on large problem instances (e.g. 200 stores, 1000 products, and 28 days). Several managerial insights are derived to compare such distinct warehouse strategies and the corresponding impact on the network.

Suggested Citation

  • Bradley Guthrie & Pratik J. Parikh & Nan Kong, 2017. "Evaluating warehouse strategies for two-product class distribution planning," International Journal of Production Research, Taylor & Francis Journals, vol. 55(21), pages 6470-6484, November.
    • Handle: RePEc:taf:tprsxx:v:55:y:2017:i:21:p:6470-6484
    DOI: 10.1080/00207543.2016.1249429
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    References listed on IDEAS

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    1. Aitken, James & Childerhouse, Paul & Towill, Denis, 2003. "The impact of product life cycle on supply chain strategy," International Journal of Production Economics, Elsevier, vol. 85(2), pages 127-140, August.
    2. Zhao, Qiu-Hong & Chen, Shuang & Zang, Cun-Xun, 2008. "Model and algorithm for inventory/routing decision in a three-echelon logistics system," European Journal of Operational Research, Elsevier, vol. 191(3), pages 623-635, December.
    3. Patil, Rahul & Avittathur, Balram & Shah, Janat, 2010. "Supply chain strategies based on recourse model for very short life cycle products," International Journal of Production Economics, Elsevier, vol. 128(1), pages 3-10, November.
    4. Weng, Z. Kevin & McClurg, Tim, 2003. "Coordinated ordering decisions for short life cycle products with uncertainty in delivery time and demand," European Journal of Operational Research, Elsevier, vol. 151(1), pages 12-24, November.
    5. Sainathuni, Bhanuteja & Parikh, Pratik J. & Zhang, Xinhui & Kong, Nan, 2014. "The warehouse-inventory-transportation problem for supply chains," European Journal of Operational Research, Elsevier, vol. 237(2), pages 690-700.
    6. Marshall Fisher & Kumar Rajaram & Ananth Raman, 2001. "Optimizing Inventory Replenishment of Retail Fashion Products," Manufacturing & Service Operations Management, INFORMS, vol. 3(3), pages 230-241, November.
    7. de Koster, Rene & Le-Duc, Tho & Roodbergen, Kees Jan, 2007. "Design and control of warehouse order picking: A literature review," European Journal of Operational Research, Elsevier, vol. 182(2), pages 481-501, October.
    8. Felipe Caro & Jérémie Gallien, 2010. "Inventory Management of a Fast-Fashion Retail Network," Operations Research, INFORMS, vol. 58(2), pages 257-273, April.
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