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首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >A Multiobjective Optimization Model of Production-Sourcing for Sustainable Supply Chain with Consideration of Social, Environmental, and Economic Factors
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A Multiobjective Optimization Model of Production-Sourcing for Sustainable Supply Chain with Consideration of Social, Environmental, and Economic Factors

机译：考虑社会，环境和经济因素的可持续供应链生产采购多目标优化模型

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This paper incorporates the three pillars of sustainability—economic, environmental, and social dimensions—into a supply chain. A multiobjective programming model which jointly minimizes costs, emissions, and employee injuries in a supply chain is first constructed. Using the weighted-sum approach with weights setting by the analytic hierarchy process (AHP), the model is solved by normalization of the minima of the three objectives. A numerical example is conducted to test the model. The results show that it is indeed possible to integrate environmental and social metrics in supply chain system optimization. Multiobjective optimization can balance the social, environmental, and economic performance. This paper presents a new multidimension perspective for optimizing supply chain; it will inspire practitioners to change their decision ideas and improve supply chain sustainability.
机译：本文将可持续性的三大支柱（经济，环境和社会层面）纳入了供应链。首先构建一个多目标编程模型，该模型可以共同最小化供应链中的成本，排放和员工伤害。通过使用层次分析法（AHP）设置权重的加权和方法，可通过对三个目标的最小值进行归一化来求解模型。数值例子进行了测试。结果表明，确实有可能在供应链系统优化中整合环境和社会指标。多目标优化可以平衡社会，环境和经济绩效。本文提出了一个新的多维视角来优化供应链。这将激励从业者改变他们的决策思路，并改善供应链的可持续性。

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