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首页> 外文期刊>Journal of Computers >Performance Evaluation of Green Supply Chains: A DEA-based Approach for the Chemical Industry
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Performance Evaluation of Green Supply Chains: A DEA-based Approach for the Chemical Industry

机译:绿色供应链的性能评估:基于DEA的化学工业方法

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—Traditionally, researchers and practitioners measure the performance of green supply chains from the aspects of economy and environment. Nowadays, human capital is given much attention in Corporate Social Resposibility (CSR) but is often not included in the performance measures. This research covers the an application of data envelopment analysis (DEA) slacksbased model to a multinational chemical manufacturer to minimize both input and bad output variables of both the environmental aspect, covering energy consumption, water intake, carbon dioxide(CO2), voltile organic compound(VOC), solid waste, and the social aspect covering employees’ working hours and total recordable (injury and illness) rate. The model also maximizes the good output, finished good products, to satisfy customers and other stakeholders. This technique results in a more holistic result and decision making model for benchmarking the performance of multiple manufacturing sites in a multinational company in Asia.
机译:- 传统地,研究人员和从业者衡量了从经济和环境方面的绿色供应链的表现。如今,人力资本在企业社会尊重(CSR)中有很大关注,但往往不包括在绩效措施中。本研究涵盖了数据包络分析(DEA)SLICKSBASED模型将模型应用于跨国化制造商,以最大限度地减少环境方面的输入和差别输出变量,覆盖能耗,进水,二氧化碳(CO2),电压有机化合物(VOC),固体废物和社会方面涵盖员工的工作时间和总可录制(伤害和疾病)率。该模型还最大限度地提高了良好的产出,成品良好的产品,满足客户和其他利益相关者。这种技术导致更全面的结果和决策模型,用于基准亚洲跨国公司多家制造地点的性能。

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