工业工程 ›› 2018, Vol. 21 ›› Issue (1): 43-50.doi: 10.3969/j.issn.1007-7375.e17-1200

• 专题论述 • 上一篇    下一篇

不确定环境下多目标绿色供应链生产计划模型

曲孟, 朱斌, 王炳荣, 何力   

  1. 长安大学 道路施工技术与装备教育部重点实验室, 陕西 西安 710064
  • 收稿日期:2017-09-06 出版日期:2018-02-28 发布日期:2018-03-12
  • 作者简介:曲孟(1990-),男,河南省人,硕士研究生,主要研究方向为供应链管理
  • 基金资助:
    国家自然科学基金资助项目(51605041);陕西交通运输厅2017年度交通科技资助项目(17-21K)

A Green Supply Chain Production Planning Model of Multi-objective under Uncertain Environment

QU Meng, ZHU Bin, WANG Bingyong, HE Li   

  1. Key Laboratory of Road Construction & Equipment of MOE, Chang'an University, Xi'an 710064, China
  • Received:2017-09-06 Online:2018-02-28 Published:2018-03-12

摘要: 针对近年来不断引发关注的工业环境污染问题以及制造业绿色供应链运营困难的问题,本文考虑分销商需求量、生产能力、成本和运输等参数为区间数,以供应链总成本最小、响应时间最短和碳排放量最少为目标,构建不确定环境下的多运输方式、多工厂、多分销商的绿色供应链生产计划模型。利用区间序关系和区间可能度定义给出不确定模型的清晰等价形式,并采用多目标规划方法对模型进行求解。最后通过算例分析可能度水平和区间变化率对企业决策的影响。研究表明,可能度水平较小或区间参数变化率较大时,会使生产条件变得更加宽厚,有利于企业降低供应链总成本。

关键词: 绿色供应链, 多目标, 目标规划

Abstract: In recent years, the industrial environmental pollution problems and the difficulties in the operation of the green supply chain in manufacturing industry have been attracting more and more attention. Distributors' demand, production capacity, cost and transportation parameters such as interval numbers, the minimum total cost of supply chain, the shortest response time and the least carbon emissions as the goal are all considered so as to build a green supply chain production planning model with multiple transport modes, factories and distributors in an uncertain environment. The interval order relation and the interval possibility definition are used to give the clear equivalent form of the uncertain model, and the multi-objective programming method is used to solve the model. Finally, the example is analyzed to ensure the possible level and interval rate to influence the decision-making of enterprises. The research shows that when the probability level is low or the interval parameter change rate is high, the production conditions will become more extensive, which will help enterprises to reduce the total cost of supply chain.

Key words: green supply chain, multi-objective, goal programming

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