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

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

Transportation Research Part E: Logistics and Transportation Review, 2014, vol. 70, issue C, 274-292

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.

Keywords: Vendor managed inventory (VMI); Transportation cost; Redundancy allocation problem (RAP); Hybrid bat algorithm; Parameter tuning (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (4)

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DOI: 10.1016/j.tre.2014.07.007

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