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Stochastic models for analysis of supply chain networks

机译:供应链网络分析的随机模型

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In this paper, we investigate use of stochastic network modeling techniques for analyzing supply chain networks. Supply chains are interconnections of several companies such as suppliers, manufacturers, distributors and retailers with the aim of producing and selling customer desired products. Computing the supply chain lead time, or the order-to-delivery time is an important exercise. In this paper, we present stochastic network models for computing the average lead times of make-to-order supply chains. In particular, we illustrate the use of static probabilistic networks for computing the lead times.
机译:在本文中,我们研究了使用随机网络建模技术来分析供应链网络。供应链是多家公司(例如供应商,制造商,分销商和零售商)的互连,目的是生产和销售客户所需的产品。计算供应链提前期或订单到交货时间是一项重要的工作。在本文中,我们提出了用于计算按订单生产供应链的平均提前期的随机网络模型。特别是,我们说明了使用静态概率网络来计算交货时间。

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