.png){kind=icon}
返回
Dynamic reverse supply chain network design under uncertainty: mathematical modeling and solution algorithm
.png){kind=icon}
PRE
AI
DOI：10.1111/itor.12865.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Motivated by the recovery of modular-structured products, this study addresses the flexible design of a reverse supply chain (RSC) over a planning horizon while incorporating the dynamic uncertain behavior of product returns. The stochastic parameter is modeled as a scenario tree and therefore the concerned problem is formulated as a multistage mixed-integer stochastic program. To alleviate the computational complexity of the proposed model, it is decomposed into smaller scenario cluster submodels associated with a number of subtrees that share a certain number of predecessor nodes in the original scenario tree. The submodels are coordinated into an implementable solution via a Lagrangian-progressive hedging-based method that employs a viable Benders decomposition based algorithm for solving each scenario cluster submodel. Based on a realistic scale case, computational results indicate the superiority of the proposed flexible dynamic RSC design model compared to the existing models. Results also demonstrate the efficiency of the proposed solution approach.
Keyword:
flexible reverse supply chain design
multistage stochastic programming
scenario clustering decomposition
Benders decomposition
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
2.9
论文数:
1.8K
被引数:
3.7K
机构
引用论文
Supply chain design for unlocking the value of remanufacturing under uncertainty不确定条件下释放再制造价值的供应链设计
PREAI
分享收藏分享收藏Brønsted acid-free controlled polymerization of tetrahydrofuran catalyzed by recyclable rare earth triflates in the presence of epoxides.png)
Polymer
PolymerIF0
PREAI
分享收藏
查看更多内容