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。
In recent years, the industrial environmental pollution problems and the difficulties in the operation of the greensupply chain in manufacturing industry have been attracting more and more attention. Distributors＇ demand, productioncapacity, cost and transportation parameters such as interval numbers, the minimum total cost of supply chain, the shortestresponse time and the least carbon emissions as the goal are all considered so as to build a green supply chain productionplanning model with multiple transport modes, factories and distributors in an uncertain environment. The interval orderrelation and the interval possibility definition are used to give the clear equivalent form of the uncertain model, and themulti-objective programming method is used to solve the model. Finally, the example is analyzed to ensure the possiblelevel and interval rate to influence the decision-making of enterprises. The research shows that when the probability level islow or the interval parameter change rate is high, the production conditions will become more extensive, which will helpenterprises to reduce the total cost of supply chain.
出处
《工业工程》
北大核心
2018年第1期43-50,共8页
Industrial Engineering Journal
基金
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)
关键词
绿色供应链
多目标
目标规划
green supply chain
multi-objective
goal programming
