期刊
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
卷 218, 期 -, 页码 212-227出版社
ELSEVIER
DOI: 10.1016/j.ijpe.2019.04.035
关键词
Uncertainty sets; Robust counterpart; A priori probabilistic bound; Closed loop-supply chain
资金
- RSF [14-41-00039]
- Russian Science Foundation [17-41-00002, 14-41-00039] Funding Source: Russian Science Foundation
In this paper, we consider a novel closed loop supply chain design consisting of multiple periods and multiple echelons. The models are considered under imperfect quality production with multiple uncertainties to provide meaningful solutions to practical problems. In addition, we assume that the screening is not always perfect, and inspection errors are more likely to take place in practice. We measure the amount of quality loss as conforming products deviate from the specification (target) value. In our study, we develop three robust counterparts models based on box, polyhedral, and combined interval and polyhedral uncertainty sets. We utilize different a priori probability bounds to approximate probabilistic constraints and provide a safe solution. The objective is to minimize the total cost of the supply chain network. Finally, numerical examples are provided to illustrate the proposed models. The paper is expected to provide more insights in managing this important problem.
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