Robust strategies for mitigating operational and disruption risks: a fuzzy AHP approach Online publication date: Sat, 30-Aug-2014
by A.R. Singh; P.K. Mishra; Rajeev Jain; M.K. Khurana
International Journal of Multicriteria Decision Making (IJMCDM), Vol. 2, No. 1, 2012
Abstract: Some supply chains continue to function smoothly and take short time to recover after a major disruption because they possessed 'robust' strategies for mitigating operational and disruption risks. In this paper, some of the strategies are proposed that make the supply chain more efficient and resilient. Linguistic and subjective evaluations take place in questionnaire form to find out the best strategy for mitigating risks in Indian manufacturing industries. Each linguistic variable has its own numerical value in predefined scale. In classical analytical hierarchy process (AHP), these numerical values are exact numbers whereas in fuzzy AHP method they are intervals between two numbers with most likely value. Therefore, fuzzy AHP approach is used because linguistic value can change person to person. In these circumstances, taking the fuzziness in to account will provide results that are not prone to risks. Our finding highlights the ranking of the different strategies to mitigate supply chain risks on the basis of weight and survey data.
Online publication date: Sat, 30-Aug-2014
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