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首页> 外文会议>2017 First International Conference on Electronics Instrumentation amp; Information Systems >A multi-objective stochastic programming model for low carbon closed-loop supply chain network design
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A multi-objective stochastic programming model for low carbon closed-loop supply chain network design

机译：低碳闭环供应链网络设计的多目标随机规划模型

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摘要

Using closed-loop supply chain network programming design to control carbon emissions is an important way that develop sustainable and environmentally conscious supply chains. This paper propose a multi-objective stochastic programming model to cope with the strategic location and configuration problem of closed-loop supply chain. Besides the traditional profit maximization objective, the proposed model took the minimization of carbon emissions into consideration, and made a fair balance between them. Some parameters, such as customers demand and end of life product quantity, products sale price, production costs, operating costs, collection costs, disposal costs, etc. in this model are uncertain, therefore, a finite number of the possible scenarios was used to describe it. While it is a way to create more flexibility and real-world condition to use the uncertainty of parameters and multi-objective tradeoff. The ε-constraint method is applied to solve the proposed multi-objective model. Last a numerical example is tested and showed the stochastic model can reduce the uncertainty of parameters.
机译：使用闭环供应链网络编程设计来控制碳排放是发展可持续发展和具有环保意识的供应链的重要途径。为了解决闭环供应链的战略定位和配置问题，提出了一种多目标随​​机规划模型。除了传统的利润最大化目标之外，该模型还考虑了碳排放的最小化，并在两者之间取得了合理的平衡。此模型中的某些参数（例如客户需求和报废产品数量，产品销售价格，生产成本，运营成本，收集成本，处置成本等）不确定，因此，使用了有限数量的可能方案形容它。虽然这是一种使用参数的不确定性和多目标权衡来创建更大灵活性和现实条件的方法。应用ε约束方法求解提出的多目标模型。最后通过数值例子进行了测试，表明随机模型可以减少参数的不确定性。

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