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Search for good policies in a single-warehouse, multi-retailer system by particle swarm optimisation

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  • Köchel, Peter
  • Thiem, Stefanie

Abstract

An optimal control of sufficiently realistic single-warehouse, multi-retailer systems (SWMR-systems) requires the simulation optimisation approach. After a brief discussion of modelling and simulation aspects for such systems, we present a simulator providing a sufficiently large set of options to customize it to realistic problem situations. The paper then focuses on the applicability of optimisation algorithms and introduces the methods particle swarm optimisation and threshold accepting. We show that both approaches yield good optimisation results for several examples of a 5-retailer system investigated according to their reordering strategy and transportation resources.

Suggested Citation

  • Köchel, Peter & Thiem, Stefanie, 2011. "Search for good policies in a single-warehouse, multi-retailer system by particle swarm optimisation," International Journal of Production Economics, Elsevier, vol. 133(1), pages 319-325, September.
    • Handle: RePEc:eee:proeco:v:133:y:2011:i:1:p:319-325
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    References listed on IDEAS

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    Cited by:

    1. Nguyen, Christine & Dessouky, Maged & Toriello, Alejandro, 2014. "Consolidation strategies for the delivery of perishable products," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 69(C), pages 108-121.
    2. Duan, Qinglin & Warren Liao, T., 2013. "Optimization of replenishment policies for decentralized and centralized capacitated supply chains under various demands," International Journal of Production Economics, Elsevier, vol. 142(1), pages 194-204.
    3. Firouz, Mohammad & Keskin, Burcu B. & Melouk, Sharif H., 2017. "An integrated supplier selection and inventory problem with multi-sourcing and lateral transshipments," Omega, Elsevier, vol. 70(C), pages 77-93.

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