期刊
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
卷 199, 期 2, 页码 409-419出版社
ELSEVIER
DOI: 10.1016/j.ejor.2008.11.040
关键词
Supply chain design; Stochastic programming; Sample average approximation; Dual decomposition
资金
- Research Council of Norway through the Smarting project
We present a supply chain design problem modeled as a sequence of splitting and combining processes. We formulate the problem as a two-stage stochastic program. The first-stage decisions are strategic location decisions, whereas the second stage consists of operational decisions. The objective is to minimize the sum of investment costs and expected costs of operating the supply chain. In particular the model emphasizes the importance of operational flexibility when making strategic decisions. For that reason short-term uncertainty is considered as well as long-term uncertainty. The real-world case used to illustrate the model is from the Norwegian meat industry. We solve the problem by sample average approximation in combination with dual decomposition. Computational results are presented for different sample sizes and different levels of data aggregation in the second stage. (C) 2008 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据