Volume 12, Issue 5 (11-2015)                   ioh 2015, 12(5): 31-42 | Back to browse issues page

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Meknatjoo M, Omidvari M. Safety Risk Assessment by using William –Fine method with Compilation Fuzzy DEMATEL in Machining Process. ioh. 2015; 12 (5) :31-42
URL: http://ioh.iums.ac.ir/article-1-1263-en.html
Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran , omidvari88@yahoo.com
Abstract:   (9521 Views)

Background and aim: Today with the progressing technology and the increasing use of machinery, due to the use of sophisticated and high risk technology, the hazards and potential accidents in machinery processes have increased and even they are feared. Therefore, the purpose of this study was to identify risk factors and influencing sub-factors on ranking of risk levels in the William-Fine model via combining with fuzzy DEMATEL technique, aiming to reduce or eliminate the risk in machining processes.

Methods: This research is a kind of applied research which is conducted, evaluated and optimized in one of the high-risk industries. Necessary data to be used in the fuzzy DEMATEL technique are collected by the questionnaires, interviews with industrial expert. The mentioned model was then solved in MATLAB software.
Results: By solving the William-Fine model, the results show that the exposure and the probability factors are the most effective and the most influential parameters, respectively. For the exposure factor, the “lack of utilization of proper operational and transformational equipment” is the most influencing sub-factor, while the lack of proper operational procedure is the main sub-factor of the probability factor. Finally, the physical shape of the materials used in operating activities is the key sub-factor for the consequence factor.
Conclusion: Resent study shows that in high risk machinery industries, the application of the William-Fine model combined with the fuzzy DEMATEL technique is an effective method to reduce or mitigate the risk levels, and consequently identify the corrective actions using cost control and optimal resource allocations.
Full-Text [PDF 766 kb]   (10556 Downloads)    
Type of Study: Research | Subject: Assessment and risk management
Received: 2015/02/3 | Accepted: 2015/08/19 | Published: 2015/12/16

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