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The group decision-making problem is studied, in which the experts provide their preference information by different formats, i.e., multiplicative preference relations and fuzzy preference relations. The net flow scores of fuzzy preference relations and multiplicative preference relations are introduced. The mean deviation method is developed to determine the relative weights of individual different preference relations objectively and then select the most desirable alternative(s) according to the aggregated net flow scores. The method does not need to transform the experts' preference relations into the same format and also does not produce any loss of information. Finally, the proposed method is tested and examined with three examples and proved to be simple, effective and practical.

In the present era of vulnerabilities, the concept of the resilient supply chain has appeared to be the most promising and efficient tool to adapt and recover from significant disruptions. Though enormous research is available regarding the capabilities and practices that enable the resilient supply chain’s success, little consideration is given to the barriers that inhibit its successful implementation in the actual scenario. In this research, we have identified 14 critical barriers to resilient supply chain in the context of the Indian manufacturing supply chain. Further, we have used an integrated Fuzzy-DEMATEL approach to evaluate these barriers. The findings reveal that lack of managerial commitment is among the most influencing barriers to the resilient supply chain, followed by poor risk awareness and poor information sharing. This research enables the academicians to understand the resilient supply chain’s various capabilities, practices and barriers and provides a novel approach for quantitative analysis of the subjective parameters. Moreover, the findings enable the supply chain practitioners to allocate the resources and capabilities that mitigate the barriers and make the supply chain genuinely resilient.