Using the Fuzzy Preference Relations to Measure the Aggregative Risk Degree of Implementing E-Manufacturing

Abstract:

Today’s competition in manufacturing industry depends not just on lean manufacturing but also on the ability to provide customers with total solutions and life-cycle costs for sustainable value. This study therefore proposes an analytic hierarchy model to help the administrators understand the critical risk factors influence the E-manufacturing system initiation, and an aggregative risk degree is indicated which risk grade they are in. The importance weights of risk factors and possible occurrence ratings of four risk grade (high-risk, medium-risk, low-risk and none-risk) are determined by using consistent fuzzy preference relations. Keywords: E-manufacturing, risk management, fuzzy preference relations.

• Periodical: Applied Mechanics and Materials (Volume 563)
• Pages: 351-355
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.563.351
• Online since: May 2014
• Authors: Hsiu Fen Chen, Jui Hsiang Tsai
• Keywords: e-Manufacturing, Fuzzy Preference Relations, Risk Management (RM)

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