According to the integrated method results, risks have been prioritized and an objective ranking has been established for action plans.
📌 3 Key Takeaways
🎯
Objective & Hypothesis:This study aims to evaluate the hazards of the stainless tank production process in a company by using the Integrated Analytic Hierarchy Process (AHP) and Failure Mode and Effect Analysis (FMEA) methods.
📊
Key Findings & Data:Finally, AHP and FMEA are integrated to achieve a more objective result by using two subjective methods.
💡
Conclusion & Impact:According to the integrated method results, risks have been prioritized and an objective ranking has been established for action plans.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Analytic Hierarchy Process · Failure Mode and Effect Analysis · Risk Priority Number
Abstract
This study aims to evaluate the hazards of the stainless tank production process in a company by using the Integrated Analytic Hierarchy Process (AHP) and Failure Mode and Effect Analysis (FMEA) methods. First, the hazards in the stainless tank production process were identified. Identified hazards were assessed with the FMEA method to calculate Risk Priority Number (RPN) for each hazard. The same hazards were then weighted by using the AHP method. Finally, AHP and FMEA are integrated to achieve a more objective result by using two subjective methods. According to the integrated method results, risks have been prioritized and an objective ranking has been established for action plans.
ÇELİKER, S., EŞSİZ, E. S., OTURAKÇI, M. (2021). Integrated AHP-FMEA risk assessment method to stainless tank production process. Turkish Journal of Engineering, Cilt: 5 - Sayı: 3, 127–132. https://ajindex.com/articles/411620
Aran G (2006). In Quality improving process failure mode effect and an application. MS Thesis, Gaziosmanpaşa Üniversity, Turkey (in Turkish). Ceylan H & Başhelvacı V S (2011). Risk değerlendirme tablosu yöntemi ile risk analizi: bir uygulama. International Journal of Engineering Research and Development, 3(2), 25-33 (in Turkish). Ceylan H & Gül T S (2015). Facts on safety at work for Turkey. Journal of Multidisciplinary Engineering Science and Technology, 2(5), 1192-1200.
Ceylan H (2000). A model called "deviation from weighted means for forecasting occupational accidents in production systems. PhD Thesis, Gazi Üniversity, Turkey (in Turkish). Dey P K (2010). Managing project risk using combined analytic hierarchy process and risk map. Applied Soft Computing, 10(4), 990-1000. DOI: 10.1016/j.asoc.2010.03.010 Eurostat, Statistics European Statistics on Accidents At Work ES, https://ec.europa.eu/eurostat/data/database [Accessed date: 06.03.2020]
Goddard P L (2000). Software FMEA techniques. Annual Reliability and Maintainability Symposium. Los Angeles, USA, 118-123. DOI: 10.1109/RAMS.2000.816294. ILO (International Labor Office), https://ilostat.ilo.org/ [Accessed date: 06.03.2020] Korkmaz A & Avsallı H (2012). A New Stage in Work Life: Work Health and Safety Law No. 6331. Süleyman Demirel University Journal of Social Sciences, (26), 153-167 (in Turkish). Kurt M (1993). İş Kazalarının Ergonomik Analizi. PhD Thesis, Gazi University, Turkey (in Turkish). Li S & Zeng W (2016). Risk analysis for the supplier selection problem using failure modes and effects analysis (FMEA). Journal of Intelligent Manufacturing, 27, 1309-1321. DOI: 10.1007/s10845-014-0953-0
Saaty T L (1980). The analytical hierarchy process, planning, priority. Resource allocation. RWS publications, USA. Sivrikaya B T & Ünal E (2018). Competency based performance evaluation of it employees by AHP group decision making. International Journal of Economics and Administrative Studies, 501-514.
Song J W, Yu J H & Kim C D (2007). Construction safety management using FMEA technique: Focusing on the cases of steel frame work. 23rd Annual ARCOM Conference, Belfast, UK, 55-63. Wessiani N A & Sarwoko S O (2015). Risk analysis of poultry feed production using fuzzy FMEA. Procedia Manufacturing, 4, 270-281. DOI: 10.1016/j.promfg.2015.11.041 Xu K, Tang L C, Xie M, Ho S L & Zhu M L (2002). Fuzzy assessment of FMEA for engine systems. Reliability Engineering & System Safety, 75(1), 17-29. DOI: 10.1016/S0951-8320(