Volume 6, Number 1 (4-2016)                   JHSW 2016, 6(1): 1-12 | Back to browse issues page


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Rahmani S, Omidvari M. Assessing safety risk in electricity distribution processes using ET & BA improved technique and its ranking by VIKOR and TOPSIS models in fuzzy environment. JHSW. 2016; 6 (1) :1-12
URL: http://jhsw.tums.ac.ir/article-1-5372-en.html

1- Bsc, Industrial Engineering Department, Industrial and Mechanical Engineering Faculty, Islamic Azad University, Qazvin Branch, Qazvin, Iran
2- Assistant Professor, Industrial and Mechanical Engineering Faculty, Islamic Azad University, Qazvin Branch, Qazvin, Iran , omidvari88@yahoo.com
Abstract:   (3903 Views)

Introduction: Electrical industries are among high risk industries. The present study aimed to assess safety risk in electricity distribution processes using  ET&BA technique and also to compare with both VIKOR & TOPSIS methods in fuzzy environments.
 

Material and Methods: The present research is a descriptive study and ET&BA worksheet is the main data collection tool. Both Fuzzy TOPSIS and Fuzzy VIKOR methods were used for the worksheet analysis.
 

Result: Findings revealed that overhead low and medium voltage power distribution networks had the highest risk among the other network types of transmission and distribution of electricity. Also, it was found that TOPSIS and VIKOR methods are appropriate to rank the safety risks with somehow similar results.
 

Conclusion: The height and electricity are of the main causes of accidents in electricity transmission and distribution industry which caused the overhead power networks to be ranked as high risk. Application of decision-making models in fuzzy environment minimizes the judgment of assessors in the risk assessment process.

Full-Text [PDF 180 kb]   (4483 Downloads)    
Type of Study: Research | Subject: Special
Received: 2016/04/2 | Accepted: 2016/04/2 | Published: 2016/04/2

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