Research on the Influence of Combination Information-Sharing on Supply Chain Performance

Abstract:

We wrap self-appraisal and peer-appraisal value of data envelopment and use genetic algorithm to define the influence level which self-appraisal and peer-appraisal value effect on the final evaluating value, namely, to select appropriate weight .We evaluate the influence which sharing combination information effects on the supply chain performance. The numerical example results demonstrate the proposed method can strengthen rationality and science of evaluation further.

• Periodical: Applied Mechanics and Materials (Volume 667)
• Pages: 98-102
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.667.98
• Online since: October 2014
• Authors: Qin Chen*, Ming Qi
• Keywords: Combination Information, Cross-Efficiency, Genetic Algorithm (GA)

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