Development of a Framework for Resilience Measurement: Suggestion of Fuzzy Resilience Grade (Rg) and Fuzzy Resilience Early Warning Grade (Rewg) Publisher Pubmed



Omidvar M¹ ; Mazloumi A¹ ; Fam IM² ; Nirumand F³
Source: Work Published:2017

Abstract

BACKGROUND: Resilience engineering (RE) can be an alternative technique to the traditional risk assessment and management techniques, to predict and manage safety conditions of modern socio-technical organizations. While traditional risk management approaches are retrospective and highlight error calculation and computation of malfunction possibilities, resilience engineering seeks ways to improve capacity at all levels of organizations in order to build strong yet flexible processes. OBJECTIVES: Considering the resilience potential measurement as a concern in complex working systems, the aim of this study was to quantify the resilience by the help of fuzzy sets and Multi-Criteria Decision-Making (MCDM) techniques. In this paper, we adopted the fuzzy analytic hierarchy process (FAHP) method to measure resilience in a gas refinery plant. METHODS:Aresilience assessment framework containing six indicators, each with its own sub-indicators,was constructed. Then, the fuzzy weights of the indicators and the sub-indicators were derived from pair-wise comparisons conducted by experts. The fuzzy evaluating vectors of the indicators and the sub-indicators computed according to the initial assessment data. Finally, the Comprehensive Resilience Index (CoRI), Resilience Grade (RG), and Resilience Early Warning Grade (REWG) were established. RESULTS: To demonstrate the applicability of the proposed method, an illustrative example in a gas refinery complex (an instance of socio-technical systems) was provided. CoRI of the refinery ranked as III. In addition, for the six main indicators, RG and REWG ranked as III and NEWZ, respectively, except for C3, in which RG ranked as II, and REWG ranked as OEWZ. CONCLUSIONS: The results revealed the engineering practicability and usefulness of the proposed method in resilience evaluation of socio-technical systems. © 2017 - IOS Press and the authors.