Comprehensive Evaluation of Logistics Enterprise Performance Based on DEA and Inverted DEA Model
American Journal of Applied Mathematics
Volume 6, Issue 2, April 2018, Pages: 48-54
Received: Apr. 26, 2018; Published: Apr. 27, 2018
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Authors
Zhang Qian, School of Applied Science, Beijing Information Science and Technology University, Beijing, China
Zhang Bing-jiang, School of Applied Science, Beijing Information Science and Technology University, Beijing, China
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Abstract
DEA is a systematic method for analyzing the relative effectiveness or benefit of decision- making units based on multi-index inputs and multi-index outputs, while Inverted DEA is a method for evaluating decision-making units based on ineffectiveness. In order to make a more reasonable evaluation of the decision-making unit, we consider using the characteristics of both DEA and Inverted DEA models to make a comprehensive evaluation of decision-making units. After discussing DEA model, Inverted DEA model and the comprehensive evaluation methods such as TOPSIS, a weighted geometric evaluation method was proposed. By using the proposed weighted geometric evaluation method and the other four evaluation methods, we evaluated the performance of 16 logistics enterprises in our country and the evaluation results were compared and sorted. The results show that the weighted geometric evaluation method can provide a new idea for the comprehensive evaluation based on DEA and Inverted DEA models.
Keywords
DEA, Inverted DEA, TOPSIS, Weighted Geometric Mean, Logistics Evaluation
To cite this article
Zhang Qian, Zhang Bing-jiang, Comprehensive Evaluation of Logistics Enterprise Performance Based on DEA and Inverted DEA Model, American Journal of Applied Mathematics. Vol. 6, No. 2, 2018, pp. 48-54. doi: 10.11648/j.ajam.20180602.14
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