Assessment of resilience engineering factors in high-risk environments by fuzzy cognitive maps: A petrochemical plant

Azadeh, A.; Salehi, Vahid; Arvan, Meysam; Dolatkhah, Mahdi

doi:10.1016/j.ssci.2014.03.004

Cited by 124 publications

(65 citation statements)

References 32 publications

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“…Preparedness is the prediction of problems and preparing for them (35). Resilient organizations must predict adverse events, and facilities and resources should be organized as well as frequent monitoring to improve the readiness of the organization.…”

Section: Discussionmentioning

confidence: 99%

Indicators of Organizational Resilience in Critical Sociotechnical Systems: A Qualitative Study for the Refinery Complex

et al. 2018

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Background: Resilience engineering is a new approach for safety management. The purpose of this paper was to determine indicators constructing organizational resilience as an important part of overall resilience. Methods: This was a qualitative study. The data collection method was semi-structured interviews as well as the discussion group method. The data were analyzed with conventional qualitative content analysis. Results: Overall, 232 primary codes were classified in 81 sub-indicators and 11 indicators. Eleven indicators were as follows: management commitment, performance management system, flow of information/communication, involvement culture, error management system, education, preparedness, flexibility, innovation culture, change management, and human resource management. Conclusions: Refineries and other firms are recommended to evaluate the situation of any identified indicators, therefore, they can promote the level of resilience by improving any indicator.

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Section: Discussionmentioning

confidence: 99%

Indicators of Organizational Resilience in Critical Sociotechnical Systems: A Qualitative Study for the Refinery Complex

et al. 2018

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“…The brief description of the items is as follows (Fig. 1):Self-organization: In self-organization systems, order comes from the actions of related operators who exchange information, take actions, and persistently adjust to feedback about others' actions [18].Teamwork: Teamwork can decrease individual and organizational pressures when there is a high workload of system and accordingly, human errors decrease and the reliability of system rises [19], [20].Redundancy: Redundancy is the presence of alternative pathways for use when components become unavailable in normal conditions [21], [22].Fault-tolerance: The main purpose of fault-tolerant systems is to keep the specified performance of a system constant despite the existence of errors [23], [24].…”

Section: Methodsmentioning

confidence: 99%

“…Teamwork: Teamwork can decrease individual and organizational pressures when there is a high workload of system and accordingly, human errors decrease and the reliability of system rises [19], [20].…”

Section: Methodsmentioning

confidence: 99%

The Impact of Redundancy and Teamwork on Resilience Engineering Factors by Fuzzy Mathematical Programming and Analysis of Variance in a Large Petrochemical Plant

Azadeh

Salehi

Mirzayi

2016

Safety and Health at Work

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BackgroundResilience engineering (RE) is a new paradigm that can control incidents and reduce their consequences. Integrated RE includes four new factors—self-organization, teamwork, redundancy, and fault-tolerance—in addition to conventional RE factors. This study aimed to evaluate the impacts of these four factors on RE and determine the most efficient factor in an uncertain environment.MethodsThe required data were collected through a questionnaire in a petrochemical plant in June 2013. The questionnaire was completed by 115 respondents including 37 managers and 78 operators. Fuzzy data envelopment analysis was used in different α-cuts in order to calculate the impact of each factor. Analysis of variance was employed to compare the efficiency score means of the four above-mentioned factors.ResultsThe results showed that as α approached 0 and the system became fuzzier (α = 0.3 and α = 0.1), teamwork played a significant role and had the highest impact on the resilient system. In contrast, as α approached 1 and the fuzzy system went toward a certain mode (α = 0.9 and α = 1), redundancy had a vital role in the selected resilient system. Therefore, redundancy and teamwork were the most efficient factors.ConclusionThe approach developed in this study could be used for identifying the most important factors in such environments. The results of this study may help managers to have better understanding of weak and strong points in such industries.

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“…It can increment the reliability and safety level in systems and also intends to improve the ability at all levels of organizations to develop processes that are robust and flexible. Moreover, it has been proposed as a solution to satisfy the need for new approaches in risk assessment and safety management of complex systems such as gas refinery (Azadeh, Salehi, Arvan, & Dolatkhah, ).…”

Section: Conceptsmentioning

confidence: 99%

Combinatorial optimization of resilience engineering and organizational factors in a gas refinery by a unique mathematical programming approach

Azadeh

Salehi

Mirzayi

et al. 2016

Hum Ftrs & Erg Mfg Svc

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This study is an attempt to evaluate the mutual impacts of resilience engineering (RE) and managerial and organizational factors in a large gas refinery. RE is a paradigm for safety management that focuses on how to help people cope with complexity under pressure to achieve success. The data obtained from questionnaire are analyzed by statistical methods and data envelopment analysis (DEA) approach. The results of Cronbach's alpha test show that the data are reliable. The results of DEA demonstrate that learning and flexibility among all RE factors have the greatest impact on managerial and organizational factors. In addition, the organizational factors have a greater influence on RE in comparison with managerial factors. Spearman's test was used to verify the results of this study. This is the first study that identifies the most important factors of integrated managerial and organizational factors and RE through a unique mathematical programming approach in a gas refinery.

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Assessment of resilience engineering factors in high-risk environments by fuzzy cognitive maps: A petrochemical plant

Cited by 124 publications

References 32 publications

Indicators of Organizational Resilience in Critical Sociotechnical Systems: A Qualitative Study for the Refinery Complex

Indicators of Organizational Resilience in Critical Sociotechnical Systems: A Qualitative Study for the Refinery Complex

The Impact of Redundancy and Teamwork on Resilience Engineering Factors by Fuzzy Mathematical Programming and Analysis of Variance in a Large Petrochemical Plant

Combinatorial optimization of resilience engineering and organizational factors in a gas refinery by a unique mathematical programming approach

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