Volume 9, Issue 1 (Spring 2022)                   johe 2022, 9(1): 46-54 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Abdollahpour S, Bahrami A, Akbari H, Khajevandi A. Assessment of the Resilience Culture of Safety Management Systems by Hierarchical Analysis Method; Case Study: Metal Industries in Countries, 2021. johe 2022; 9 (1) : 6
URL: http://johe.umsha.ac.ir/article-1-747-en.html
1- Kashan University of Medical Sciences, Kashan, Iran
2- Kashan University of Medical Sciences, Kashan, Iran , abbasbahrami9020@gmail.com
Abstract:   (1571 Views)
Background and Objective: Resilience is the process of coping and successfully adapting to challenging and life-threatening situations which is a kind of positive adaptation to adverse conditions. One of the most serious challenges in the industry is maintaining the health and safety of employees while performing their job duties. The present study aimed to quantitatively evaluate resilience engineering indicators in the metal industries of Kashan, Iran, and prioritize using the AHP method.
Materials and Methods: The present cross-sectional study had two stages. First, the resilience questionnaire was distributed among 110 employees of six metal industry companies in Kashan by convenience sampling method. In the second stage, a questionnaire consisting of 6 questions was completed by 15 occupational health and metal industry experts and then the prioritization of resilience indicators was determined using hierarchical analysis. Expert choice software was used to determine the priorities. The total resilience score was calculated and statistically compared by t-test and ANOVA after weighting.
Results: The results indicated that the six main indicators of emergency preparedness, management commitment, reporting culture, awareness, learning culture, and flexibility with a final score of 0.921, 0,852, 0.517, 0.513, 0.485, and 0. 428 were ranked first to sixth.
Conclusion: Emergency preparedness and management commitment were the most important indicators and the total resilience score in the metal industries of Kashan was 0.619.

Article number: 6
Full-Text [PDF 1042 kb]   (763 Downloads)    
Type of Study: Research Article | Subject: Safety

1. Nodoushan RJ, Kamei Z, Khodarahmi F, Kakaei HA, Hajian N. Risk assessment of ilam gas refinery based on william fine method in 2012. J Community Health Res. 2014;3(1):49-58.
2. Herrera IA. Proactive safety performance indicators. [Ph.D. Thesis] Trondheim: Norwegian University of Science and Technology; 2012.
3. Costella MF, Saurin TAde Macedo Guimarães LB. A method for assessing health and safety management systems from the resilience engineering perspective. Saf Sci. 2009;47(8):1056-67. DOI: 10.1016/j.ssci.2008.11.006 [DOI:10.1016/j.ssci.2008.11.006]
4. Azadeh A, Salehi V, Arvan M, Dolatkhah M. Assessment of resilience engineering factors in high-risk environments by fuzzy cognitive maps: A petrochemical plant. Saf Sci. 2014;68:99-107. DOI: 10.1016/j.ssci.2014.03.004 [DOI:10.1016/j.ssci.2014.03.004]
5. Azadeh A, Asadzadeh SM, Tanhaeean M. A consensus-based AHP for improved assessment of resilience engineering in maintenance organizations. J Loss Prev Process Ind. 2017;47:151-60. DOI: 10.1016/j.jlp.2017.02.028 [DOI:10.1016/j.jlp.2017.02.028]
6. Shirali GA, Motamedzade M, Mohammadfam I, Ebrahimipour V, Moghimbeigi A. Assessment of resilience engineering factors based on system properties in a process industry. Cogn Technol Work. 2016;18 (1):19-31. DOI: 10.1007/s10111-015-0343-1 [DOI:10.1007/s10111-015-0343-1]
7. Hamilton MC, Lambert JH, Connelly EB, Barker K. Resilience analytics with disruption of preferences and lifecycle cost analysis for energy microgrids. Reliab Eng Syst Saf. 2016;150:11-21. DOI: 10.1016/j.ress.2016.01.005 [DOI:10.1016/j.ress.2016.01.005]
8. Azadian S, Shirali GA, Saki A. Designing a questionnaire to assess crisis management based on a resilience engineering approach. Jundishapur J Health Sci. 2014;6(1):245-56.
9. Shirali GhA, Azadian SH, Saki A. A new framework for assessing hospital crisis management based on resilience engineering approach. Work (Reading, Mass). 2016;54(2):435-44. PMID: 27315414 DOI: 10.3233/wor-162329 [DOI:10.3233/WOR-162329]
10. Hollnagel E, Woods DD. Epilogue: Resilience engineering precepts: Concepts and precepts. UK: Ashgate; 2006.
11. Omidvar M, Mazlomi A, MohammadFam I, Rahimi Foroushani A, Nirumand F. Development of a framework for assessing organizational performance based on resilience engineering and using fuzzy AHP method: A case study of petrochemical plant. J Health Saf Work. 2016;6(3):43-58. [Persian]
12. Jafari Nodoushan R, Jafari MJ, Shirali GA, Khodakarim S, Khademi Zare H, Hamed Monfared AA. Identifying and ranking of organizational resilience indicators of refinery complex using fuzzy TOPSIS. J Health Saf Work. 2017;7(3):219-32. [Persian] [DOI:10.5812/jhealthscope.14134]
13. Arassi M, Mohammadfam I, Shirali G, Moghimbeigi A. Quantitative assessment of Resilience in the operatives unitsof National Iranian Drilling Company (regional study: Khuzestan.). J Health Saf Work. 2015;4(4):21-28. [Persian]
14. Triantaphyllou E, Mann SH. Using the analytic hierarchy process for decision making in engineering applications: some challenges. Int J Ind Eng Theory Appl Pract. 1995;2(1):35-44.
15. Li D, Tian M. The empirical study of performance evaluation on the specialized cooperative organizations of farmers in sichuan by AHP. Manag Sustain. 2012;2(1). DOI: 10.5539/ jms.v2n1p200 [DOI:10.5539/jms.v2n1p200]
16. Ghodsipour SH. Analytical hierarchy process (AHP). Publication of Amirkabir University; 2012.
17. Delbari SA, Davoudi SA. Application of analytical hierarchy process (Ahp) for ranking the evaluation indicators of tourism attractions. Oper Res. 2012;9(2):57-79. [Persian]
18. Azadeh A, Zarrin M. An intelligent framework for productivity assessment and analysis of human resource from resilience engineering, motivational factors, HSE and ergonomics perspectives. Saf Sci. 2016;89:55-71. DOI: 10.1016/j.ssci.2016.06.001 [DOI:10.1016/j.ssci.2016.06.001]
19. Hosseini SM, Khaled AA. A hybrid ensemble and AHP approach for resilient supplier selection. J Intell Manuf. 2019;30(4):207-28. DOI:10.1007/s10845-016-1241-y [DOI:10.1007/s10845-016-1241-y]
20. Alshehri SA., Rezgui Y, Hajiiang LI. Disaster community resilience assessment method: a consensus-based Delphi and AHP approach. Nat Hazards. 2015;78(1):395-416. DOI:10.1007/s11069-015-1719-5 [DOI:10.1007/s11069-015-1719-5]
21. Tadic D, Aleksic A, Stefanovic M, Arsovski S. Evaluation and ranking of organizational resilience factors by using a two-step fuzzy AHP and fuzzy TOPSIS. Math Probl Eng. 2014;4:1-13. DOI:10.1155/2014/418085 [DOI:10.1155/2014/418085]
22. Rosa LV, Franca JEM, Haddad AN, Carvalho PVR. A resilience engineering approach for sustainable safety in green construction. J Sustain De Energy Water Environ Syst. 2017;5(4):480-495. DOI:10.13044/j.sdewes.d5.0174 [DOI:10.13044/j.sdewes.d5.0174]

Add your comments about this article : Your username or Email:

Send email to the article author

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Journal of Occupational Hygiene Engineering

Designed & Developed by : Yektaweb