Assessing of Supply Chain Risks via ANP Technique (Case Study: Zagros Petrochemical Company Located in South Pars Special Economic Zone)
Subject Areas :
Industrial Management
Morteza
Shafiee
1
(Assistant Professor, Department of Industrial Management, Faculty of Economics and Management, Shiraz Branch, Islamic Azad University, Shiraz, Iran)
Andisheh
Honarvar
2
(M.A Graduated in Industrial Management, Faculty of Economics and Management, Shiraz Branch, Islamic Azad University, Shiraz, Iran)
Received: 2015-10-23
Accepted : 2016-07-18
Published : 2016-08-25
Keywords:
Abstract :
Since the dynamics of logistics and sales markets and so the uncertainty of planning has increased, companies should be able to make informed decisions under risk. The key characteristic of supply chain risk is that risk gets extended beyond the borders of a company. In addition, extended currents borders can be the source of supply chain risk. The purpose of this study is to identify risks in the supply chain of Zagros Petrochemical Company, prioritize risks and provide recommendations for managers to deal with them. In order to achieve these objectives, after the supply chain risks were categorized, the empirical data used in this study which is based on questionnaire responses from firm managers, were gathered and 20 factors in 6 groups were identified. In order to prioritize the risks, the analytic network process (ANP), have been utilized. The result of research introduces boycott as the most important risk in the supply chain of Zagros Petrochemical Company. It is an applied research due to the goal and case study due to the methodology.
References:
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Blackhurst, J., & Chadambaram, V., & Wu, T. (2006). A model for inbound risk analysis. Computers in industry, 57(4), 350-365.
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Jharkharia, S., & Shankar, R. (2007). Selection of Logistics Service Provider: An Analytic Network Process (ANP) Approach Omega, 35(1), 274–289.
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Saaty. T. L. (2004). Fundamentals of The Analytic Network Process Dependence And Feedback In Decision-Making With A Single Network. Journal Of Systems Science And Systems Engineering, 13(2), 129- 157.
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Swaminathan, J.M., & Smith, S.F., & Sadeh, N.M. (1998). Modeling supply chan dynamics: A Multiagent Approach. Decision Sciences, 29(3), 607-632.
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Barnes, P., & Oloruntoba, R. (2005). Assurance of security in maritime supply chains: Conceptual issues of vulnerability and crisis management. Journal of International Management, 11(4), 519-540.
Blackhurst, J., & Chadambaram, V., & Wu, T. (2006). A model for inbound risk analysis. Computers in industry, 57(4), 350-365.
Bode, C., & Wanger, S.M. (2006). An empirical investigation into supply chain vulnerability. Journal of Purchasing and Supply Management, 12(6), 301-312.
Bredell, R. D. (2004). “Supply Chain Risk Management: a Logistics Perspective", Phd thesis, Rand Afrikaans University.
Chopra, s., & Sodhi, M.S. (2004). Managing risk to avoid supply-chain breakdown. Sloan Management Review, 46(1), 53-61.
Chopra, s., & Meindl, P. (2004). Supply chain management: Strategy Planning and Operation, New Jersey: Pearson/Prentice Hall India.
Christopher, M. (2004). Creating resilient supply chains. Logistics Europe, pp. 1-21.
Eng., Teck Yong. (2006). "Mobile Supply Chain Management: Challenges for implementation", Technovation, 26(1), 682- 686
Hallikas, J., & Karvonen, I., & Pulkkinen, U., & Virolainen, V-M., & Tuominen, M., (2004). “Risk management processes in supplier networks”, International Journal of Production Economics, 90(1), 47–58.
Harland, C., & Brenchley, R., & Walker, H. (2003). Risk in supply networks, Journal of Purchasing and Supply Management, 9(1), 51–62.
Jharkharia, S., & Shankar, R. (2007). Selection of Logistics Service Provider: An Analytic Network Process (ANP) Approach Omega, 35(1), 274–289.
Jüttner, U. (2005). Supply chain risk management: Understanding the business requirements from a practitioner perspective, The International Journal of Logistics Management, 16(1), 120-141.
Kaihara, T. (2003). Multi-agent based supply chain modeling with dynamic environment. International journal of Production Economics, 85(2), 263-269.
Kleindorfer, P.R., & Van Wassenhove W.L.N. (2004). Managing risk in global supply chains, in H. Gatigon and J.Kimberly (eds), The Alliance on Globalization, Cambridge University press.
Kleindorfer, P.R., & Saad, G.H. (2005). Managing disruption risks in supply chains. Production and Operation Management, 14(1), 53-68.
Lee, Y., & W. Wu. (2005). Development Strategies for Competency Models International Trade Department, Ta Hwa Institute of Technology, Taiwan
Lin, Y. H., & Tsai, K. M., & Shiang, W. J., & uo, T. C., & C. H. Tsai. (2009). “Research on Using ANP to Establish a Performance Assessment Model for Business Intelligence Systems” Expert Systems with Applications, 36(1), 4135– 4146.
McGillivray, G. (2000). Commercial risk under JIT, Canadian Underwriter, Vol. 67, No.1, 26-30.
Mentzer, J.T. (2000). Supply chain management. sage Publications, Inc, 237-263.
Paulsson, U. (2004). Supply chain risk management, in Brindley, C. (Ed.), Supply chain Risk Management, Ashgate, Aldershot, 79-96.
Ritchie, B., & Brindley, C. (2004). Risk Characteristics of the Supply Chain- A Contingency Framework, In Brindley, C. (Ed.), Supply Chain Risk, Ashgate Publishing, Aldershot, 28-42.
Ritchie, B., & Brindley, C. (2007). Supply chain risk management and performance: A guiding framework for future development, International Journal of Operations and Production Management, 27(3), 303-322.
Saaty. T. L. (2004). Fundamentals of The Analytic Network Process Dependence And Feedback In Decision-Making With A Single Network. Journal Of Systems Science And Systems Engineering, 13(2), 129- 157.
Saaty, T. L., & L. G. Vargas. (2006). Decision Making with the Analytic Network Process Economic, Political, Social and Technological Applications with Benefits, Opportunities, Costs and Risks, New York: Springer.
Spekman, R.E., & Davis, E.W. (2004). Risky business: expanding the discussion on risk and the extended enterprise, International Journal of Physical Distribution and Logistics Management, 34(5), 414-433.
Swaminathan, J.M., & Smith, S.F., & Sadeh, N.M. (1998). Modeling supply chan dynamics: A Multiagent Approach. Decision Sciences, 29(3), 607-632.
Ziegenbein, A., & Nienhaus, J. (2004). Coping with supply chain risks on strategic, tactical and operational level, Global Project and Manufacturing Management, The Symposium Proceedings.
