Abstract—In recent years, supply changes have been becoming more complicated and sophisticated widespread. Supply chain management has faced much uncertainty (due to lack of trust to chain rings), resulting in some risks. This study is expected to identify and assessing the risk in supply chain using Fuzzy Analytic Network Process (for allocating weights to risk factors) and Fuzzy TOPSIS (for ranking the supply chain members). And finally do case study and check the model.
Index Terms—Supply chain risk management, fuzzy supply chain risk assessment, MAPNA Boiler Company, Fuzzy Analytic Network Process (FANP) and Fuzzy TOPSSIS
H. R. Berenji is with the Sharif University of Technology, Tehran, Iran and Multimedia University, Cyberjaya Campus, Malaysia (e-mail:firstname.lastname@example.org).
R. N. Anantharaman is with Business school, Multimedia University,Melaka Campus, Malaysia.
Cite: Hossein Rikhtehgar Berenji and R.N. Anantharaman, "Supply Chain Risk Management: Risk Assessment in Engineering and Manufacturing Industries," International Journal of Innovation, Management and Technology vol. 2, no. 6, pp. 452-458, 2011.