2020 VOL.3 Feb No.1

• Title: Low-carbon Evaluation Model of Supply Chain Logistics Distribution Path Based on DEA Method
• Name: Giles Harry
• Company: Simon Fraser University
• Abstract:

  The low-carbon logistics supply chain has become an important component and main trend of China's national economic development. Based on the analysis of the current status of the low-carbon logistics distribution path, a low-carbon evaluation model for the supply chain logistics distribution path based on the DEA method is designed. The elimination index is used to determine the fuzzy evaluation set of low-carbon logistics, and the evaluation index weights are established. The C2R model in the DEA method is used to evaluate the low-carbon logistics distribution path supply chain, and the low-carbon evaluation model of the supply chain is designed. Case analysis results show that the evaluation model based on the DEA method can accurately sort the low-carbon logistics distribution paths of various schemes, which has a very high advantage over the traditional low-carbon evaluation model.

• Keyword: DEA method; supply chain; logistics distribution path; low-carbon evaluation model; C2R model;
• DOI: 10.12250/jpciams2020010133
• Citation form: Giles Harry.Low-carbon Evaluation Model of Supply Chain Logistics Distribution Path Based on DEA Method[J]. Computer Informatization and Mechanical System, 2020, vol. 3, pp. 20-26.

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