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Optimizing a bi-objective inventory model of a three-echelon supply chain using a tuned hybrid bat algorithm

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  • Sadeghi, Javad
  • Mousavi, Seyed Mohsen
  • Niaki, Seyed Taghi Akhavan
  • Sadeghi, Saeid

Abstract

This paper presents a bi-objective VMI problem in a single manufacturer-single vendor multi-retailer (SM-SV-MR) supply chain, which a redundancy allocation problem is incorporated. In the hybridized problem, a manufacturer produces a single item using several machines that work in series, and stores it in a warehouse to replenish one vendor who delivers it to several retailers using the shortest possible route. A novel meta-heuristic, called hybrid bat algorithm (HBA), with calibrated parameters is utilized to find a near-optimum solution. To show the efficiency of HBA, the results are compared to the ones using the traditional BA and a genetic algorithm.

Suggested Citation

  • Sadeghi, Javad & Mousavi, Seyed Mohsen & Niaki, Seyed Taghi Akhavan & Sadeghi, Saeid, 2014. "Optimizing a bi-objective inventory model of a three-echelon supply chain using a tuned hybrid bat algorithm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 274-292.
    • Handle: RePEc:eee:transe:v:70:y:2014:i:c:p:274-292
    DOI: 10.1016/j.tre.2014.07.007
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    4. Saha, Subrata & Sarkar, Biswajit & Sarkar, Mitali, 2023. "Application of improved meta-heuristic algorithms for green preservation technology management to optimize dynamical investments and replenishment strategies," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 209(C), pages 426-450.

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