不确定环境下可持续闭环供应链网络设计--Optimization模型的应用
An Environmentally Sustainable Closed-Loop Supply Chain Network Design under Uncertainty: Application of Optimization
摘要：
近年来，工业生产增长所需的能源和物质消耗率相当高，因此环境可持续的工业发展已成为发达国家和发展中国家的主要问题。提出了一种新的供应链管理方法，以保持经济增长，以及对环境友好的关注的供应链网络的设计。本文提出了一种新的绿色供应链设计方法，以保持金融美德伴随着精神因素，需要减轻快速工业发展对环境的负面影响。这种方法已经提出了一个多目标的数学模型最小化的总成本和二氧化碳排放量，建立一个环境可持续的闭环供应链。采用了两种优化方法，即迭代约束法和遗传算法最优化方法。对这两种方法的计算结果进行了比较，说明了它们的有效性。分析的结果被批准，以验证所提出的模型的准确性，同时处理财务和环境问题。
英文摘要：
Newly, the rates of energy and material consumption to augment industrial pro-duction are substantially high, thus the environmentally sustainable industrial de-velopment has emerged as the main issue of either developed or developing coun-tries. A novel approach to supply chain management is proposed to maintain economic growth along with environmentally friendly concerns for the design of the supply chain network. In this paper, a new green supply chain design approach has been suggested to maintain the financial virtue accompanying the environ-mental factors that required to be mitigated the negative effect of rapid industrial development on the environment. This approach has been suggested a multi-objective mathematical model minimizing the total costs and CO2 emissions for establishing an environmentally sustainable closed-loop supply chain. Two opti-mization methods are used namely Epsilon Constraint Method, and Genetic Al-gorithm Optimization Method. The results of the two mentioned methods have been compared and illustrated their effectiveness. The outcome of the analysis is approved to verify the accuracy of the proposed model to deal with financial and environmental issues concurrently.
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