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Development of a Novel Electrical Industry Safety Risk Index (Eisri) in the Electricity Power Distribution Industry Based on Fuzzy Analytic Hierarchy Process (Fahp) Publisher



Sadeghiyarandi M1 ; Torabigudarzi S1 ; Asadi N2 ; Golmohammadpour H3 ; Ahmadimoshiran V4 ; Taheri M5 ; Ghasemikoozekonan A6 ; Soltanzadeh A7 ; Alimohammadi B8
Authors
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Authors Affiliations
  1. 1. Department of Occupational Health, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Department of Occupational Health Engineering, Behbahan Faculty of Medical Sciences, Behbahan, Iran
  3. 3. The State University of New York, University of Buffalo, Department of Industrial Engineering, New York, United States
  4. 4. Department of Occupational Health, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
  5. 5. Islamic Azad University, Science and Research Branch, Department of Art and Architectural Engineering, Iran
  6. 6. Department of Occupational Health, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  7. 7. Department of Occupational Health, School of Public Health, Qom University of Medical Sciences, Qom, Iran
  8. 8. Department of Ergonomics, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran

Source: Heliyon Published:2023


Abstract

Many workers are exposed to electrical energy during the fulfillment of their tasks. It is necessary to identify the potential risk factors for electrical damages. The present study aimed to develop a novel Electrical Industry Safety Risk Index (EISRI) in the electricity power distribution industry based on fuzzy analytic hierarchy process (FAHP). In this study several different safety risk assessment methods were analyzed. Then, common activities in the electricity distribution industry were classified into ten occupational groups. To identify the general structure of risk assessment and determine three main components, including personal, environmental, and organizational a three-stage Delphi study was conducted with the participation of 30 experts. The fuzzy analytic hierarchy process approach was used to weight the components and parameters in each job group. Finally, the results of the EISRI were compared with the failure mode and effect analysis (FMEA) method. The most effective component in determining the risk level was the personal component (PC), with a 0.537 weighted average. Cronbach's alpha values for each of the personal, environmental, and organizational components and the entire model were 0.90, 0.85, 0.82, and 0.86, respectively, and model reliability was confirmed. The results obtained from the EISRI method were compared with the FMEA method, the results of both methods were very close to each other (p < 0.05). The results of this study revealed that the highest weighted average was related to the personal component due to the high impact of the human factors in carrying out activities in various occupations. The EISRI can be applied as a substitute for general risk assessment methods due to the suitability of this method with the nature of activities in this industry. The present technique can be a practical step toward developing suitable risk management algorithm. © 2023 The Authors
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