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首页> 外文期刊>International Journal of Production Research >Learning and screening errors in an EPQ inventory model for supply chains with stochastic lead time demands
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Learning and screening errors in an EPQ inventory model for supply chains with stochastic lead time demands

机译：具有随机提前期需求的供应链的EPQ库存模型中的学习和筛选错误

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摘要

This paper investigates the role of variable lead time, learning in production and screening errors in a vendor-buyer supply chain with defective items. The vendor-buyer supply chain is modelled for supplying a single item considering that the lots from vendor may contain some defective items. It is assumed that demand during lead time follows a normal distribution. Moreover, the production time at vendor's facility is assumed to follow learning whereas buyer's screening for defective items is prone to errors as well. Numerical examples are presented to illustrate the impact of different variables in the model. The analysis shows that delay in transportation lead time forces the buyer to carry more inventories to avoid shortages. Further, Type I error has a major impact on this cost. It was found that learning in production keeps on reducing the total cost of the supply chain up to a threshold.
机译：本文研究了可变提前期，学习在生产中以及筛选存在缺陷项目的卖方-买方供应链中的错误的作用。考虑到卖方的批次中可能包含一些有缺陷的物品，卖方-买方供应链的模型被设计为仅供应一个物品。假定提前期的需求遵循正态分布。此外，假定卖方工厂的生产时间遵循学习，而买方对次品的筛选也容易出错。数值示例说明了模型中不同变量的影响。分析表明，运输提前期的延迟迫使买方携带更多库存以避免短缺。此外，I类错误对该成本有重大影响。人们发现，生产中的学习不断将供应链的总成本降低到一个阈值。

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