• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Mathematical Problems in Engineering >A Dynamic Programming-Based Sustainable Inventory-Allocation Planning Problem with Carbon Emissions and Defective Item Disposal under a Fuzzy Random Environment
【24h】

A Dynamic Programming-Based Sustainable Inventory-Allocation Planning Problem with Carbon Emissions and Defective Item Disposal under a Fuzzy Random Environment

机译：模糊随机环境下基于动态规划的碳排放与缺陷物品处置的可持续库存分配计划问题

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

There is a growing concern that business enterprises focus primarily on their economic activities and ignore the impact of these activities on the environment and the society. This paper investigates a novel sustainable inventory-allocation planning model with carbon emissions and defective item disposal over multiple periods under a fuzzy random environment. In this paper, a carbon credit price and a carbon cap are proposed to demonstrate the effect of carbon emissions' costs on the inventory-allocation network costs. The percentage of poor quality products from manufacturers that need to be rejected is assumed to be fuzzy random. Because of the complexity of the model, dynamic programming-based particle swarm optimization with multiple social learning structures, a DP-based GLNPSO, and a fuzzy random simulation are proposed to solve the model. A case is then given to demonstrate the efficiency and effectiveness of the proposed model and the DP-based GLNPSO algorithm. The results found that total costs across the inventory-allocation network varied with changes in the carbon cap and that carbon emissions' reductions could be utilized to gain greater profits.
机译：人们越来越关注商业企业主要关注其经济活动，而忽略了这些活动对环境和社会的影响。本文研究了一种在模糊随机环境下具有多个时期的碳排放和不良品处置的新型可持续库存分配计划模型。本文提出了碳信用价格和碳限额，以证明碳排放成本对库存分配网络成本的影响。来自制造商的劣质产品需要拒收的百分比被认为是模糊随机的。由于模型的复杂性，提出了基于动态规划的具有多种社会学习结构的粒子群优化算法，基于DP的GLNPSO算法以及模糊随机仿真算法来求解模型。然后给出一个案例来证明所提出的模型和基于DP的GLNPSO算法的效率和有效性。结果发现，库存分配网络的总成本随碳限额的变化而变化，碳排放量的减少可以用来获得更大的利润。

著录项

  • 来源
    《Mathematical Problems in Engineering》 |2018年第2期|9376080.1-9376080.18|共18页
  • 作者

    Kang Kai; Pu Wei; Ma Yanfang;

  • 作者单位

    Hebei Univ Technol, Sch Econ & Management, Tianjin 300401, Peoples R China;

    Hebei Univ Technol, Sch Econ & Management, Tianjin 300401, Peoples R China;

    Hebei Univ Technol, Sch Econ & Management, Tianjin 300401, Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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