Performance optimization of human factors and safety performance using an integrated DEA-TOPSIS approach: A case study in the process industry

Stress, fatigue, and work situation awareness are key contributors to accidents and unsafe behaviors in process industries. Given the significance of these factors, this study aimed to assess the employees' perceptions of the effects of stress, fatigue, and work situation awareness on safety pe...

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Main Authors: Leila Omidi, Vahid Salehi, Seyed Abolfazl Zakerian, Jebraeil Nasl Saraji
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Social Sciences and Humanities Open
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2590291125004942
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author Leila Omidi
Vahid Salehi
Seyed Abolfazl Zakerian
Jebraeil Nasl Saraji
author_facet Leila Omidi
Vahid Salehi
Seyed Abolfazl Zakerian
Jebraeil Nasl Saraji
author_sort Leila Omidi
collection DOAJ
description Stress, fatigue, and work situation awareness are key contributors to accidents and unsafe behaviors in process industries. Given the significance of these factors, this study aimed to assess the employees' perceptions of the effects of stress, fatigue, and work situation awareness on safety performance in a process industry. The data of this study were collected through a questionnaire, and their reliability was evaluated and confirmed. The Data Envelopment Analysis (DEA) method was used to identify and analyze the most influential factors and sub-factors influencing employees' perceptions of safety performance. Additionally, the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) was applied to rank alternatives and validate the DEA results. Sensitivity analysis revealed that work situation awareness significantly affected safety performance compared to stress and fatigue. Furthermore, the findings showed that distraction, chronic fatigue, and demands were the most influential sub-factors of work situation awareness, fatigue, and stress, respectively. The Pearson correlation test confirmed a strong agreement between the DEA and TOPSIS results. Given these findings, stress, fatigue, and work situation awareness play an important role in safety performance of employees in the process industries.
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spelling doaj-art-00a4dadf9967486eb8ebf57963200a842025-08-20T03:28:37ZengElsevierSocial Sciences and Humanities Open2590-29112025-01-011210176610.1016/j.ssaho.2025.101766Performance optimization of human factors and safety performance using an integrated DEA-TOPSIS approach: A case study in the process industryLeila Omidi0Vahid Salehi1Seyed Abolfazl Zakerian2Jebraeil Nasl Saraji3Department of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, IranFaculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John's, CanadaDepartment of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran; Corresponding author. Department of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.Department of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, IranStress, fatigue, and work situation awareness are key contributors to accidents and unsafe behaviors in process industries. Given the significance of these factors, this study aimed to assess the employees' perceptions of the effects of stress, fatigue, and work situation awareness on safety performance in a process industry. The data of this study were collected through a questionnaire, and their reliability was evaluated and confirmed. The Data Envelopment Analysis (DEA) method was used to identify and analyze the most influential factors and sub-factors influencing employees' perceptions of safety performance. Additionally, the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) was applied to rank alternatives and validate the DEA results. Sensitivity analysis revealed that work situation awareness significantly affected safety performance compared to stress and fatigue. Furthermore, the findings showed that distraction, chronic fatigue, and demands were the most influential sub-factors of work situation awareness, fatigue, and stress, respectively. The Pearson correlation test confirmed a strong agreement between the DEA and TOPSIS results. Given these findings, stress, fatigue, and work situation awareness play an important role in safety performance of employees in the process industries.http://www.sciencedirect.com/science/article/pii/S2590291125004942Process industrySituation awarenessSafety performanceDEATOPSIS
spellingShingle Leila Omidi
Vahid Salehi
Seyed Abolfazl Zakerian
Jebraeil Nasl Saraji
Performance optimization of human factors and safety performance using an integrated DEA-TOPSIS approach: A case study in the process industry
Social Sciences and Humanities Open
Process industry
Situation awareness
Safety performance
DEA
TOPSIS
title Performance optimization of human factors and safety performance using an integrated DEA-TOPSIS approach: A case study in the process industry
title_full Performance optimization of human factors and safety performance using an integrated DEA-TOPSIS approach: A case study in the process industry
title_fullStr Performance optimization of human factors and safety performance using an integrated DEA-TOPSIS approach: A case study in the process industry
title_full_unstemmed Performance optimization of human factors and safety performance using an integrated DEA-TOPSIS approach: A case study in the process industry
title_short Performance optimization of human factors and safety performance using an integrated DEA-TOPSIS approach: A case study in the process industry
title_sort performance optimization of human factors and safety performance using an integrated dea topsis approach a case study in the process industry
topic Process industry
Situation awareness
Safety performance
DEA
TOPSIS
url http://www.sciencedirect.com/science/article/pii/S2590291125004942
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AT seyedabolfazlzakerian performanceoptimizationofhumanfactorsandsafetyperformanceusinganintegrateddeatopsisapproachacasestudyintheprocessindustry
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