Abstract

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.

Keywords:

Fuzzy risk analysis, supply chain collaboration risk, trapezoidal fuzzy numbers similarity,

References

Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.