• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Cleaner Production >A fuzzy-stochastic multi-objective model for sustainable planning of a closed-loop supply chain considering mixed uncertainty and network flexibility
【24h】

A fuzzy-stochastic multi-objective model for sustainable planning of a closed-loop supply chain considering mixed uncertainty and network flexibility

机译：考虑混合不确定性和网络灵活性的闭环供应链可持续规划模糊随机多目标模型

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Closed-loop supply chain network design (CLSCND) has been increasingly spotlighted over the latest decade. The focus has been given to maximize the economic performance, resource utilization and sustainability through incorporating a holistic decision-making on both forward and reverse logistics. In this paper, a new fuzzy-stochastic multi-objective mathematical model is formulated for sustainable CLSCND. The model aims at balancing the trade-off between cost effectiveness and environmental performance under different types of uncertainty. The environmental performance of CLSCND is measured by carbon emission. Moreover, the network flexibility is modeled and incorporated in the decision-making so that customer demands can be fulfilled by different means. In order to solve the complex optimization problem, the model is first defuzzilized and converted into an equivalent crisp form. Then, a sample average approximation based weighting method (SAAWM) is developed to obtain a set of Pareto optimal solutions between cost and carbon emission under different uncertain environments. The model is validated through a set of numerical experiments. The computational results show, through the incorporation with network flexibility, the proposed mathematical model and solution approach can effectively generate consistent objective values and solutions over different scenario trees and obtain robust strategic decisions on facility locations. Meanwhile, the flexibility and rationality of the decision-making on transportation management, demand allocation and facility operations can be improved as well. (c) 2020 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
机译：闭环供应链网络设计（CLSCND）越来越多的最新十年越来越关注。通过在前瞻性和逆向物流上纳入整体决策，已经致力于最大限度地提高经济绩效，资源利用和可持续性。在本文中，为可持续的CLSCND配制了一种新的模糊随机多目标数学模型。该模型旨在平衡成本效益与环境绩效之间不同类型的不确定性之间的权衡。 CLSCND的环境性能通过碳排放来衡量。此外，网络灵活性被建模并在决策中包含，以便客户需求可以通过不同的方式实现。为了解决复杂的优化问题，该模型首先被除碎并转换成等效的酥脆形式。然后，开发了一种基于样本的基于近似的权重方法（SaAWM），以在不同不确定环境下的成本和碳排放之间获得一组Pareto最佳解决方案。该模型通过一组数值实验进行验证。计算结果表明，通过加入网络灵活性，所提出的数学模型和解决方案方法可以通过不同的场景树有效地产生一致的客观值和解决方案，并在设施位置获得强大的战略决策。同时，还可以提高对运输管理，需求分配和设施运营的决策的灵活性和合理性。 （c）2020作者。由elsevier有限公司发布这是CC下的开放式访问文章（http://creativecommomons.org/licenses/by/4.0/）。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号