Optimizing a bi-objective inventory model of a three-echelon supply chain using a tuned hybrid bat algorithm
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.
Year of publication: |
2014
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Authors: | Sadeghi, Javad ; Mousavi, Seyed Mohsen ; Niaki, Seyed Taghi Akhavan ; Sadeghi, Saeid |
Published in: |
Transportation Research Part E: Logistics and Transportation Review. - Elsevier, ISSN 1366-5545. - Vol. 70.2014, C, p. 274-292
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Publisher: |
Elsevier |
Subject: | Vendor managed inventory (VMI) | Transportation cost | Redundancy allocation problem (RAP) | Hybrid bat algorithm | Parameter tuning |
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