A two step fuzzy model for the assessment and ranking of organizational resilience factors in the process industry

Abstract The evaluation and ranking of resilience factors (RFs) in an uncertain environment has important implications for the management of any enterprise. Determining an improvement strategy of business process resilience is based on the obtained rank of RFs, and it presents a key success factor for an enterprise in dealing with crisis. The complexity and importance of the treated problem calls for analytic methods rather than intuitive decisions. The relative importance of business processes and the relative importance of RFs under each business process are stated by fuzzy pair-wise comparison matrices. The elements of these matrices are triangular fuzzy numbers (TFNs). The fuzzy Analytic Hierarchy Process (FAHP) is used for determination of relative weights of existing variables. The rank of RFs is obtained by using the extent fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS). The real life application on the selection of the management team shows the practical implications in the process industry.

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