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Optimizing a vendor managed inventory (VMI) supply chain for perishable products by considering discount: Two calibrated meta-heuristic algorithms
بهینه سازی مدیریت موجودی فروشنده (VMI) زنجیره تامین برای محصولات فاسد شدنی با در نظر گرفتن تخفیف: دو الگوریتم فرا ابتکاری کالیبره-2017 Vendor Managed Inventory (VMI) is one of the inventory management strategies that reduce costs,
increase responsiveness and improve collaboration between the members of supply chain. Although
the VMI can reduce response time and deterioration in perishable supply chain (PSC), but there is a
few reports on using VMI for PSC. In this paper VMI strategy is used for managing the inventory of per
ishable product at two-level supply chain with single vendor and multiple retailers. After passing a speci
fic time of product lifetime that called the critical time, the product would be perished by a probability
distribution function. It is probable that the inventory of product is not sold after the critical time, there
fore the management system will use discount to stimulate demand. Then a proposed model is formu
lated as a nonlinear programming model. The objective function of the proposed model is minimizing
the total cost of supply chain including the cost of fixed ordering, holding, discount, and deterioration
whereas replenishment cycles and order size for retailers and also production time needed to supply
inventory of each retailer can be determined through the proposed model. Since the model is a
NP-hard problem, a Genetic algorithm (GA) and a Particle Swarm Optimization (PSO) algorithm are
developed for solving it appropriately and the results are presented that PSO algorithm has a better
performance for solving of the proposed model in this paper.
Taguchi method is an applied to calibrate the parameters of the algorithms into provide reliable
solution. Finally, the conclusion and further research are presented.
Keywords: Vendor managed inventory | Perishable supply chain | Discount | Genetic algorithm |Particle swarm optimization |
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