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首页> 外文期刊>RAIRO operations research >A SINGLE-MANUFACTURER MULTI-RETAILER INTEGRATED INVENTORY MODEL FOR ITEMS WITH IMPERFECT QUALITY, PRICE SENSITIVE DEMAND AND PLANNED BACK ORDERS
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A SINGLE-MANUFACTURER MULTI-RETAILER INTEGRATED INVENTORY MODEL FOR ITEMS WITH IMPERFECT QUALITY, PRICE SENSITIVE DEMAND AND PLANNED BACK ORDERS

机译:单制造商多零售商集成库存模型,适用于具有不完美质量,价格敏感需求和计划后订单的项目

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摘要

In this paper, we develop an integrated two-echelon supply chain inventory model with a single-manufacturer and multi-retailers in which each retailer's demand is dependent on selling price of the product. The manufacturer produces a single product and dispatched the order quantities of the retailers in some equal batches. The production process is imperfect and produces imperfect quality of products with a defective percentage which is random in nature and follows binomial distribution. Inspection process is performed by the retailers to classify the defective items in each lot delivered from the manufacturer. The defective items that were found by the retailer will be returned to the manufacturer at the next delivery. Lead time is random and it follows an exponential distribution. We also assume that shortages are allowed and are completely backlogged at each retailer's end. A closed form solution to maximize the expected average profit for both the centralized and the decentralized scenarios are obtained. The developed models are illustrated with the help of some numerical examples using stochastic search genetic algorithm (GA). It is found that integration of the supply chain players results an impressive increment in the profit of the whole supply chain. Sensitivity analysis is also performed to explore the impacts of key-model parameters on the expected average profit of the supply chain.
机译:在本文中,我们开发了一个集成的双梯队供应链库存模型,单一制造商和多零售商,每个零售商的需求取决于产品的售价。制造商生产单一产品,并在一些相等的批次中派遣零售商的订单量。生产过程是不完美的,产生不完美的产品质量,其具有缺陷的百分比,随机本质上并遵循二项式分布。检验过程由零售商执行,以将来自制造商提供的每个地段中的缺陷物品进行分类。零售商发现的有缺陷物品将在下一次交付时返回制造商。提前时间是随机的,它遵循指数分布。我们还假设允许短缺,并在每个零售商的结束时完全积压。获得了最大化集中化和分散方案的预期平均利润的封闭式解决方案。通过使用随机搜索遗传算法(GA)的一些数值示例的帮助说明了开发的模型。有人发现,供应链球员的整合导致整个供应链的利润令人印象深刻。还执行敏感性分析,以探讨关键模型参数对供应链预期平均利润的影响。

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