A stochastic approach to a case study for product recovery network design
A stochastic approach to a case study for product recovery network design
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DOI：
10.1016/j.ejor.2001.12.001
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发表时间：
2005
期刊：
影响因子：
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通讯作者：
Ovidiu Listes;R. Dekker
中科院分区：
文献类型：
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作者：
Ovidiu Listes;R. Dekker
不确定性是产品回收网络的特征之一。特别是其物流基础设施的战略设计必须考虑到不确定的信息。在本文中，我们提出了一个随机规划为基础的方法，产品回收网络设计的确定性位置模型可以扩展到明确的不确定性。这种随机模型寻求一种解决方案，在实地专家确定的一些替代方案之间取得适当平衡。我们将随机模型应用于荷兰一个有代表性的真实的案例研究，从拆除废物中回收沙子。结果的解释是为了给更多的洞察决策下的不确定性逆向物流。
Uncertainty is one of the characteristics of product recovery networks. In particular the strategic design of their logistic infrastructure has to take uncertain information into account. In this paper we present a stochastic programming based approach by which a deterministic location model for product recovery network design may be extended to explicitly account for the uncertainties. Such a stochastic model seeks a solution which is appropriately balanced between some alternative scenarios identified by field experts. We apply the stochastic models to a representative real case study on recycling sand from demolition waste in The Netherlands. The interpretation of the results is meant to give more insight into decision-making under uncertainty for reverse logistics.