[Home ] [Archive]    
:: Main Archive Search Submit Manuscript Publication Ethics Contact ::
:: Volume 4, Issue 3 (7-2019) ::
CJHR 2019, 4(3): 60-65 Back to browse issues page
Risk Identification and Risk Assessment Using Failure Mode and Effect Analysis in a Textile Industry
Atefe Mohamadinejad1, Parviz Kakaei2, Tayebeh Nikdel3, Mahin Khalil Tahmasobi3, Norooz Tamoradi Mongenan4, Razieh Janizadeh 5
1- Department of Occupational Health, School of Medical Sciences, Tarbiat Modares University, Tehran, Iran
2- Department of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
3- Department of Occupational Health Engineering, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
4- Morvarid Petrochemical Company, Assaluyeh, Bushehr, Iran
5- Department of Occupational Health, School of Medical Sciences, Tarbiat Modares University, Tehran, Iran , raziyehjanizadeh@modares.ac.ir
Abstract:   (619 Views)
Background: Today with growth of industry, occupational hazards are increasing proportionally. One of the most important parts of these industries are human resources, which face with many various hazards. The aim of this study was to conduct an assessment of potential hazards in the textile industry using Failure Mode and Effect Analysis (FMEA).
Methods: This cross-sectional study was conducted in the spinning sector of textile industry.  FMEA as one of the systematic risk assessment technique applied to each unit of the spinning sector to find out potential failure mods and its effects. Risk priority number (RPN) was determined based on severity, detectability and occurrence of hazards. Then PRN were categorized into low-risk (RPN ≤ 89), moderate risk (RPN = 90-199), and high risk level (RPN ≥ 200).
Results: A total of 58 risk were found in 6 units of the spinning sector. 38% were found to be at high level 45% at middle level and 17% at low level. The packing unit, had the highest risk compared to other units. Lifting heavy loud in the packing unit has the highest RPN (384) and bobbin falling down in the ring unit has the lowest RPN (24).
Conclusion: This study revealed that more than 80% of detected risk were unacceptable that showed hazardous condition for workers in textile industry. Lifting heavy louds followed by bobbing falling were the most hazardous task in this industry. The implementation of safety measures such as training programs, engineering and management controls were recommended.
 
Keywords: Failure Mode and Effect Analysis, Textile industry, Risk assessment
Full-Text [PDF 555 kb]   (296 Downloads)    
Article Type: Original Contributions | Subject: Occupational Health
Received: 2019/02/4 | Accepted: 2019/06/20 | Published: 2019/07/1
References
1. Biswas G, Bhattacharya A, Bhattacharya R. A review on the health status of textile dyeing workers. Int J Sci Res. 2016;5(8):594-596. doi: 10.15373/22778179. [DOI:10.15373/22778179]
2. Mohamad Fam I. Safety engineering [in Persian]. Tehran, Iran: Fanavaran Publications; 2014: 110.
3. Ünal ZB, Acar E. Failure mode and effect analysis: An application in jeans production process. Tekstil. 2016; 65(1):30-34.
4. Suresh R, Sathyanathan M, Visagavel K, Rajesh Kumar M. Risk assessment for blast furnace using fmea. Int J Res Eng Technol. 2014;3(11). doi: 10.15623/ijret.2014.0323007. [DOI:10.15623/ijret.2014.0323007]
5. Piątkowski J, Kamiński P. Risk assessment of defect occurrences in engine piston castings by FMEA method. Arch Foundry Eng. 2017;17(3):107-110. doi: https://doi.org/10.1515/afe-2017-0100 [DOI:10.1515/afe-2017-0100.]
6. Lotfolahzadeh A, Miri Lavasani M, Dehghani A. Risk Assessment and Determination of Insurance Rate by FMEA Method - Case Study in a Cement Factory [in Persian]. Occup Environ Health. 2017; 2 (4) :311-322.
7. Shafiee M, Dinmohammadi F. An FMEA-based risk assessment approach for wind turbine systems: a comparative study of onshore and offshore. Energies. 2014;7(2):619-642. [DOI:10.3390/en7020619]
8. Ebrahemzadih M, Halvani GH, Shahmoradi B, Giahi O. Assessment and risk management of potential hazards by failure modes and effect analysis (FMEA) method in Yazd Steel Complex. Open J Safe Sci Tech. 2014;4(3):127-135. doi: 10.4236/ojsst.2014.43014. [DOI:10.4236/ojsst.2014.43014]
9. Klochkov Y, Its A, Vasilieva I. Development of FMEA method with the purpose of quality assessment of can stock production. Key Engineering Materials. 2016;684:473-476. doi: 10.4028/www.scientific.net/KEM.684.473. [DOI:10.4028/www.scientific.net/KEM.684.473]
10. Najafpour Z, Hasoumi M, Behzadi F, Mohamadi E, Jafary M, Saeedi M. Preventing blood transfusion failures: FMEA, an effective assessment method. BMC Health Serv Res. 2017;17(1):453. doi: 10.1186/s12913-017-2380-3. [DOI:10.1186/s12913-017-2380-3]
11. Reinhold K, Tint P, Kiivet G. Risk assessment in textile and wood, processing industry. Int J Reliab Qual Saf Eng. 2006;13(2):115-125. doi: 10.1142/S021853930600215X. [DOI:10.1142/S021853930600215X]
12. Martins EF, Lima GBA, Sant'anna AP, da Fonseca RA, da Silva PM, Gaviao LO. Stochastic risk analysis: Monte Carlo simulation and FMEA (Failure mode and effect analysis). Espacios. 2017;38(4):26.
13. Shariati S. Underground mine risk assessment by using FMEA in the presence of uncertainty. Decision Science Letters. 2014;3(3):295-304. doi: 10.5267/j.dsl.2014.4.002. [DOI:10.5267/j.dsl.2014.4.002]
14. Nuchpho P, Nansaarng S, Pongpullponsak A. Risk Assessment in the Organization by using FMEA Innovation: A Literature Review. Presented at: Proceedings of the 7th International Conference on Educational Reform; 2014.
15. Rah JE, Manger RP, Yock AD, Kim GY. A comparison of two prospective risk analysis methods: Traditional FMEA and a modified healthcare FMEA. Med Phys. 2016;43(12):6347. [DOI:10.1118/1.4966129]
16. Liu HC. Improved FMEA methods for proactive healthcare risk analysis. Berlin, Germany: Springer; 2019. [DOI:10.1007/978-981-13-6366-5]
17. Shi JL, Wang YJ, Jin H-H, Fan SJ, Ma QY, Zhou MJ. A modified method for risk evaluation in failure mode and effects analysis. J Appl Sci Eng. 2016;19(2):177-186. doi: 10.6180/jase.2016.19.2.08.
18. Kazemi M, Safari S, Akbari J, Mououdi MA, Mahaki B. Macro-ergonomic risk assessment with the relative stress index method in textile industry. Int J Environ Health Eng. 2014;3(1):3. doi: 10.4103/2277-9183.131803. [DOI:10.4103/2277-9183.131803]
19. Ahmad N, Khan S, Ali F. An investigation of workplace environment in karachi textile industry towards emotional health. J Ind Stud Res. 2016;14(1):63-78. doi: 10.31384/jisrmsse/2016.14.1.5. [DOI:10.31384/jisrmsse/2016.14.1.5]
20. Ghaljahi M, Namrudi S. Identification and assessment of hazard risks in a flour mill by the JSA and FMEA methodology [in Persian]. J Health Res Commun. 2017;3(3):82-89.
21. Chin KS, Chan A, Yang JB. Development of a fuzzy FMEA based product design system. Int J Adv Manuf Technol. 2008;36(7-8):633-649. doi: 10.1007/s00170-006-0898-3. [DOI:10.1007/s00170-006-0898-3]
22. Wang YM, Chin KS, Poon GKK, Yang JB. Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean. Expert Syst Appl. 2009;36(2):1195-1207. doi: 10.1016/j.eswa.2007.11.028. [DOI:10.1016/j.eswa.2007.11.028]
Send email to the article author

Add your comments about this article
Your username or Email:

CAPTCHA



XML     Print


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

Mohamadinejad A, Kakaei P, Nikdel T, Khalil Tahmasobi M, Tamoradi Mongenan N, Janizadeh R. Risk Identification and Risk Assessment Using Failure Mode and Effect Analysis in a Textile Industry . CJHR. 2019; 4 (3) :60-65
URL: http://cjhr.gums.ac.ir/article-1-119-en.html


Volume 4, Issue 3 (7-2019) Back to browse issues page
Caspian Journal of Health Research
 
Creative Commons License
Persian site map - English site map - Created in 0.16 seconds with 32 queries by YEKTAWEB 3960