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Joint economic lot sizing problem for a three—Layer supply chain with stochastic demand

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  • Abdelsalam, Hisham M.
  • Elassal, Magy M.

Abstract

This paper considers the joint economic lot-sizing problem (JELP) for multi-layer supply chain with multi-retailers and single manufacturer and supplier. The paper extends the work of (Ben-Daya et al., 2013) and relaxes the assumption of deterministic demand and constant holding and ordering costs. The paper proposes modifying four computational intelligent algorithms to solve mixed integer problems and compares their performance for solving the problem at hand. The paper, further, compares between adopting a centralized safety stock policy versus a decentralized policy. Results showed cuckoo search to outperform other tested algorithms and, also, favored adopting a centralized policy.

Suggested Citation

  • Abdelsalam, Hisham M. & Elassal, Magy M., 2014. "Joint economic lot sizing problem for a three—Layer supply chain with stochastic demand," International Journal of Production Economics, Elsevier, vol. 155(C), pages 272-283.
    • Handle: RePEc:eee:proeco:v:155:y:2014:i:c:p:272-283
    DOI: 10.1016/j.ijpe.2014.01.015
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    References listed on IDEAS

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    2. Islam, S.M. Shahidul & Hoque, Md. Abdul & Hamzah, Norhayati, 2017. "Single-supplier single-manufacturer multi-retailer consignment policy for retailers’ generalized demand distributions," International Journal of Production Economics, Elsevier, vol. 184(C), pages 157-167.
    3. Maihami, Reza & Govindan, Kannan & Fattahi, Mohammad, 2019. "The inventory and pricing decisions in a three-echelon supply chain of deteriorating items under probabilistic environment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 118-138.
    4. Reza Maihami & Behrooz Karimi & Seyyed Mohammad Taghi Fatemi Ghomi, 2017. "Effect of two-echelon trade credit on pricing-inventory policy of non-instantaneous deteriorating products with probabilistic demand and deterioration functions," Annals of Operations Research, Springer, vol. 257(1), pages 237-273, October.
    5. Ke Ma & Sébastien Thomassey & Xianyi Zeng, 2020. "Development of a central order processing system for optimizing demand-driven textile supply chains: a real case based simulation study," Annals of Operations Research, Springer, vol. 291(1), pages 627-656, August.

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