论文标题

不确定性下的环境可持续的闭环供应链网络设计:优化应用

An Environmentally Sustainable Closed-Loop Supply Chain Network Design under Uncertainty: Application of Optimization

论文作者

Ahmed, Md. Mohsin, Iqbal, S. M. Salauddin, Priyanka, Tazrin Jahan, Arani, Mohammad, Momenitabar, Mohsen, Billal, Md Mashum

论文摘要

新近新颖的是,能源和材料消耗增强工业促销的速度基本上很高,因此,环境可持续的工业开发已经成为发展或发展中心的主要问题。提出了一种新型的供应链管理方法,以维持经济增长以及对供应链网络设计的环境友好的关注。在本文中,已经提出了一种新的绿色供应链设计方法,以维持伴随的经济优势,这些美德伴随着可以缓解快速工业发展对环境的负面影响所需的环境因素。该方法已被认为是一种多目标数学模型,以最大程度地减少建立环境可持续闭环供应链的总成本和二氧化碳排放。使用两种选择方法,即Epsilon约束方法和遗传AL-GORITHM优化方法。已经比较了这两种方法的结果并说明了它们的有效性。批准分析的结果是为了验证拟议模型同时处理财务和环境问题的准确性。

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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