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Abstract
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Article Information:
Supply Chain Collaboration Risk Evaluation Based on Trapezoidal Fuzzy Numbers Similarity
Lei Wen, Wei Zhao and Rui Wang
Corresponding Author: Lei Wen
Submitted: June 19, 2012
Accepted: July 23, 2012
Published: February 21, 2013 |
Abstract:
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Supply chains are confronted with more complicated risks on the current financial crisis, as makes risk control in supply chain management more exigent. Supply chain collaboration, as the important part of supply chain management, is the key method of improving supply chains profits. This study introduces risk management into the mechanism of supply chain collaboration. In supply chain risk management, supply chain collaboration risk is recognized as an important section which can help SCM more efficiently. This study is aimed to present a collaboration risk analysis methods based on trapezoidal fuzzy numbers similarity to solve this problem. By using two linguist terms probability of failure and severity of loss, supply chain collaboration risk can be calculated and expressed with linguistic term. At last, an example is used to identify the efficiency of this method.
Key words: Fuzzy risk analysis, supply chain collaboration risk, trapezoidal fuzzy numbers similarity, , , ,
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Abstract
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Cite this Reference:
Lei Wen, Wei Zhao and Rui Wang, . Supply Chain Collaboration Risk Evaluation Based on Trapezoidal Fuzzy Numbers Similarity. Research Journal of Applied Sciences, Engineering and Technology, (06): 1928-1933.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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