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

Sadeghi, J ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1016/j.tre.2014.07.007
  3. Abstract:
  4. 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
  5. Keywords:
  6. Hybrid bat algorithm ; Parameter tuning ; Redundancy allocation problem (RAP) ; Transportation cost ; Vendor managed inventory (VMI) ; Artificial intelligence ; Cost ; Genetic algorithm ; Numerical model ; Transportation development ; Transportation planning
  7. Source: Transportation Research Part E: Logistics and Transportation Review ; Vol. 70, issue. 1 , October , 2014 , p. 274-292
  8. URL: http://www.sciencedirect.com/science/article/pii/S1366554514001288