Emergency Distribution Optimization Based on Improved DEA Model

Abstract:

The purpose of this research is to investigate the optimum distribution plan through input and output analysis, and to improve the efficiency of decision-making and relief operation in the emergency supply chain. The data were obtained via an official figures survey on demand information. And stimulated experiment is carried out based on these official figures. This study developed an improved DEA for optimization of medical textiles distribution in emergency supply chain to find out the best distribution plan with the highest relative efficiency. The improved DEA model introduces aggressive cross evaluation approach to improve the basic C2R model, which primarily determines the matrix of relative efficiency E_ii. Aggressive cross evaluation aims to maximize self-performance of each, and to minimize performance of other as far as possible, and finally find out the optimum solution. Further, model is constructed to validate the DEA effective.

• Periodical: Applied Mechanics and Materials (Volumes 687-691)
• Pages: 5097-5101
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.687-691.5097
• Online since: November 2014
• Authors: Shu Hua Liu*, Yu Qing Liu
• Keywords: Aggressive Cross Evaluation, C2R Model, Data Envelopment Analysis (DEA), DEA Effective, Emergency Distribution

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