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Information Technology Journal

Year: 2013 | Volume: 12 | Issue: 23 | Page No.: 7361-7366
DOI: 10.3923/itj.2013.7361.7366
Assessment of Emergency Dynamic Classification in Supply Chain
Wang Hongchun, Qin Ying, Wang Qianying and Lv Yimiao Xu Peng

Abstract: Emergency management is a new topic in supply chain management theory and has great significance in theoretical study. As emergency accidents always have a life span of different scales, dynamic assessment and targeted preventive measures which are basic ways to check consequences as well as the premise of building emergency management mechanism are eagerly desired. The study first reviewed the emergency classification and grading situation, then discussed the disadvantages of existing technology and method, eventually calculated and sorted the value of emergency expectations by mathematical method of Fuzzy Comprehensive Evaluation Method (FCEM) and Analytic Hierarchy Process (AHP) synthetically which help incorporate the inherent uncertainties, imprecision and subjectivity of available data throughout the whole model to consistent with the actual situation. In the last part, the final evaluation level in the future is predicted.

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How to cite this article
Wang Hongchun, Qin Ying, Wang Qianying and Lv Yimiao Xu Peng, 2013. Assessment of Emergency Dynamic Classification in Supply Chain. Information Technology Journal, 12: 7361-7366.

Keywords: Emergency, scale and classification

REFERENCES
  • Chen, Y.W. and M. Larbani, 2006. Two-person zero-sum game approach for fuzzy multiple attribute decision making problems. Fuzzy Sets Syst., 157: 34-51.
    CrossRef    Direct Link    

  • Chai, Y., 2011. Research on capacity fast recovery of disruption in supply chain. Master's Thesis, Shang hai Jiaotong University.

  • Han, Q.L. and T. Yang, 2003. A new algorithm for partner selection of virtual enterprise. Operat. Res. Manage. Sci., 12: 17-21.

  • Jiang, Y.P. and Z.P. Fan, 2000. A ranking method for reciprocal judgement matrix with triangular fuzzy numbers. Syst. Eng. Elect., 24: 34-36.

  • Wang, Z.X., H.B. Xie and J.C. Li, 2010. A trapezoidal approximation of left right fuzzy numbers. J. Guangxi Univ., 6: 1063-1068.

  • Zhan, H.M., G.S. Yin, S.Y. Wang and H.B. Wang, 2013. Demand prioritization methods based on the pattern of SAHP and requirements mode. Comput. Eng. Appl., 49: 15-19.

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