Project Logistics Risk Evaluation Based on Matter-Element Analysis

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Abstract:

The project logistics indicators system of risk evaluation is established through analyzing the project logistics risk characteristics. Risk evaluation model is proposed based on matter-element theory.The project logistics risk、evaluation index and the characteristic value are taken as the matter-element. The logistics risk grade can be gained by calculating the risk coefficient of correlation, using subjective and objective combination weighting methods and the integrated risk correlation calculating in the end. An example is used to validate the proposed method. The results show this model can solve the problem of uncertainty index and the risk quantitative analysis then risk decision can be made.

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2820-2824

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May 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] CHEN Hao,WU Qing,Zong Cheng-qiang. Risk analyse of project logistics based on fuzzy comprehensive evaluation.Logistics engineering and management 2009(3) P44-46

Google Scholar

[2] Su Tao-yong,WANG Ning, Lei Xing-hui,Peng Lu-bin.Evaluation of Finished Vehicle Logistics Service Capability Based on Ideal Fuzzy Matter-element with Synthetic Weight.Industrial Engineering and Management 2011(4) P34-39

Google Scholar

[3] HUANG Shun-quan, ZHAO Da-wei. Fuzzy comprehensive evaluation of risks in third-party logistics.Journal of Dalian Maritime University (Social Sciences Edition)2008(8) P77-79

Google Scholar

[4] WAN Ghui ping. Risk Forecasting in Third Party Logistics ProjectBased on BP Fuzzy NeuralNetwork. JOURNAL OF WUT ( INFORMATION & MANAGEMENT ENGINEERING ) .2010 (5) P P858-860

Google Scholar

[5] Chunyan Yang Tsai Wen. Extension project.Science Press.2007.8.P19

Google Scholar

[6] WANG Jian-ming, ZHANG Ke-yong Risk Assessment of Supply Chain System Based on Extension Matter Element Model. Science Technology and Industry. 2005(5), P49-53

Google Scholar