Journal of Health and Safety at Work

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Introduction: Resilience engineering is a new approach in safety science. Its goal is to maintain organizational capacity in an acceptable level to help system in managing the crisis. Indeed, resilience engineering rely on systems abilities instead of weaknesses, and try to find indicators that help the system durability.

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Material and Method: In this study,first, 6 resilience engineering factors were chosen and sent toexperts in the form of paired comparison sheets. On the other hand, a valid standard questionnaire distributed among drilling rigs operational workers for measuring the NIDC resilience level. Finally,the priority of corrective actionswas determinedaccording to the score of the two analyzedquestionnaires.

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Results: The results of resilience engineering factors weighting showed that the management commitment has the highest value andthe second place belonged to the correct culture. The indicators’scores,based on the distributed questionnaires among workers, showed that all of the six factors had similar scoreswhich can be evaluated as fairly good. Finally, the results of prioritization of indicators ofresilience engineering, basedon the combination ofthe questionnaire and experts opinions showed that management commitment is the most effective resilience factor in the organization. .

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Conclusion: Management commitment and the current culture are the most importantcontributing factorsin company resilience level. Experienced workforce was the best strengthof the company and the effect of financial issues on resilience and safety was the biggest problem ahead.

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Introduction: Noise is one of the most harmful industrial agents and there are different methods to control it. Fuzzy analytical hierarchy process is an appropriate technique for selecting the best choice among several control methods. Therefore, the aim of this study was the selection of the most suitable sound control method using fuzzy hierarchical analysis (FAHP) technique in a refinery plant.
Material and Method: The present study was a cross-sectional research in a refinery plant. After identifying the main sources of the noise in the studied palnt, five criteria and ten noise control methods were selected using a questionnaire and Delphi methods. Then, Fuzzy hierarchy analysis was applied for the selection of the best noise control alternative.
Result: The results showed that the performance with a final weight of 0.277 and the non-interference in the process with a final weight of 0.06 were most and least important criteria, respectively. Meanwhile, worker enclosure had highest score (0.207) of the control methods.
Conclusion: In general, the results showed that best criterion for selection of the suitable noise control method is performance. What’s more, based on the results, worker enclosure was selected as best noise control method in the refinery.