PMID- 28269808
OWN - NLM
STAT- MEDLINE
DCOM- 20170912
LR  - 20170912
IS  - 1875-9270 (Electronic)
IS  - 1051-9815 (Linking)
VI  - 56
IP  - 3
DP  - 2017
TI  - Development of a framework for resilience measurement: Suggestion of fuzzy 
      Resilience Grade (RG) and fuzzy Resilience Early Warning Grade (REWG).
PG  - 463-474
LID - 10.3233/WOR-172512 [doi]
AB  - 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: A 
      resilience 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.
FAU - Omidvar, Mohsen
AU  - Omidvar M
AD  - Department of Occupational Health Engineering, School of Public Health, Tehran 
      University of Medical Sciences, Tehran, Iran.
FAU - Mazloumi, Adel
AU  - Mazloumi A
AD  - Department of Occupational Health Engineering, School of Public Health, Tehran 
      University of Medical Sciences, Tehran, Iran.
FAU - Mohammad Fam, Iraj
AU  - Mohammad Fam I
AD  - Department of Occupational Health, School of Public Health and Center for Health 
      Research, Hamedan University of Medical Sciences, Hamedan, Iran.
FAU - Nirumand, Fereshteh
AU  - Nirumand F
AD  - Department of Pollution Control, School of Environmental Engineering, Ghalat 
      Ghaem Branch, Applied Sciences and Technology University, Tehran, Iran.
LA  - eng
PT  - Journal Article
PL  - Netherlands
TA  - Work
JT  - Work (Reading, Mass.)
JID - 9204382
SB  - IM
MH  - Cross-Sectional Studies
MH  - Humans
MH  - Psychometrics/instrumentation/methods/*standards
MH  - Resilience, Psychological/*classification
MH  - Risk Assessment/*methods/standards
MH  - Surveys and Questionnaires
MH  - Weights and Measures/*instrumentation/standards
OTO - NOTNLM
OT  - AHP
OT  - Resilience Early Warning Grade
OT  - Resilience Grade
OT  - Resilience engineering
OT  - fuzzy
OT  - safety
EDAT- 2017/03/09 06:00
MHDA- 2017/09/13 06:00
CRDT- 2017/03/09 06:00
PHST- 2017/03/09 06:00 [pubmed]
PHST- 2017/09/13 06:00 [medline]
PHST- 2017/03/09 06:00 [entrez]
AID - WOR2512 [pii]
AID - 10.3233/WOR-172512 [doi]
PST - ppublish
SO  - Work. 2017;56(3):463-474. doi: 10.3233/WOR-172512.