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Evaluating Green Performance of Suppliers via Analytic Network Process and TOPSIS

机译:通过分析网络过程和TOPSIS评估供应商的绿色绩效

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摘要

Developments in environmental issues in the last few years have been forcing manufacturing companies to improve their environmental performances. Many firms developed integrated relationships with their suppliers to increase their environmental performance and to decrease their hazardous effects on the environment. Then, selecting suitable and green suppliers in the supply chain has become a key strategic consideration. A performance evaluation system for green suppliers is necessary to determine the suitability of suppliers to cooperate with the firm. Therefore, in this study, a model for evaluating green performance of suppliers is proposed, and a hybrid multicriteria decision making model is developed in order to evaluate green performance of the suppliers. The analytical network process technique is applied to handle the relationships and dependence of selection criteria and subcriteria and determine weights of the criteria. The technique for order preference by similarity to ideal solution is used to sequence the suppliers for ideal solution of the suppliers’ green performance evaluation problem. After a comprehensive literature survey, evaluation criteria of green performance for suppliers are determined. Finally, green performance of 18 suppliers of an automobile company was evaluated by this model. These 18 suppliers manufacture chassis and its components.
机译:过去几年中,环境问题的发展迫使制造公司改善其环境绩效。许多公司与供应商建立了综合关系,以提高其环境绩效并减少对环境的危害。然后,在供应链中选择合适的绿色供应商已成为关键的战略考虑。绿色供应商的绩效评估系统对于确定供应商与公司合作的适合性非常必要。因此,在本研究中,提出了一种评估供应商绿色绩效的模型,并开发了一种混合多准则决策模型来评估供应商的绿色绩效。分析网络过程技术用于处理选择标准和子标准的关系和依赖性,并确定标准的权重。通过与理想解决方案相似的方式进行订单偏好的技术用于对供应商进行排序,从而为供应商的绿色绩效评估问题提供理想的解决方案。经过全面的文献调查,确定了供应商的绿色绩效评估标准。最后,通过该模型对一家汽车公司的18家供应商的绿色绩效进行了评估。这18个供应商生产底盘及其组件。

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