Assessment of Potential Risk by the Failure Mode and Effects Analysis in an Air Conditioning Equipment Manufacturing Company
Irtiqa Imini Pishgiri Masdumiyat (Safety Promotion and Injury Prevention),
Vol. 5 No. 2 (2017),
3 October 2017
,
Page 96 - 89
https://doi.org/10.22037/meipm.v5i2.18688
Abstract
Background & Objective: Failure is inevitable in the daily activities and machinery in industrial operations, the causes of which should be properly evaluated and analyzed. Failure mode and effects analysis (FMEA) is a potent and effective method for identifying and eliminating potential failure, as well as the difficulties and failures in systems, design, processes, and services. The present study aimed to assess the potential risk in an air conditioning equipment manufacturing company using the FMEA.
Materials and Methods: In this descriptive cross-sectional study, all activities and machinery in different units of the air conditioning equipment manufacturing company were analyzed by census evaluation and FMEA risk assessment. Cutoff point was determined at 70%, and the risks were categorized into three levels of acceptable (L), medium (M), and unacceptable (H); based on the classification of the organization and control ability. Data analysis was performed in Microsoft Excel 2010.
Results: Among 1,453 identified risks, 237 risks (16.3%) were in the H category with the ratio of 1/6, 473 risks (32.6%) were in the L category with the ratio of 1/3 , and 743 risks (51.1%) were in the M category with the ratio of 1/2 . Moreover, 44 unacceptable risks (H) (3%) were in the Likert classification developed by the researcher in accordance with the organization, which were considered acceptable in the FMEA classification. These risks could be considered the margins of control measures.
Conclusion: According to the FMEA classification, the ratio of H risks to the total risks is 1/10 , while it was obtained at 1/6 in the present study. On the other hand, high number of the identified risks does not necessarily indicate the manufacturing units to be of high risk.
How to cite this article: Yari S.Assessment of Potential Risk by the Failure Mode and Effects Analysis in an Air Conditioning Equipment Manufacturing Company.Irtiqa Imini Pishgiri Masdumiyat (Safety Promotion and Injury Prevention). 2017; 5(2):89-96.
- FMEA; Risk Assessment; Risk
How to Cite
References
References
Colli A. Failure mode and effect analysis for photovoltaic systems. Renewable and Sustainable Energy Reviews. 2015;50:804-9.
Hasbullah NH, Ahmad R. Failure analysis of tyre production process using FMECA method. Case Studies in Engineering Failure Analysis. 2015.
Yari S. Inherent safety design in compose of urban gas station. Safety Promotion and Injury Prevention. 2015;3(2):135-40.
Normohammadi M, Kakooei H, Omidi L, Yari S, Alimi R. Risk Assessment of Exposure to Silica Dusts in Building Demolition Sites. Safety and Health at Work. 2016. 30; 7(3):251-5.[Pub Med]
Yari S, Fallah AA, Varmazyar S. Assessment of Semi-Quantitative Health Risks of Exposure to Harmful Chemical Agents in the Context of Carcinogenesis in the Latex Glove Manufacturing Industry. Asian Pacific journal of cancer prevention: APJCP. 2015;17(S3); 205-11.[Pub Med]
Younge KC, Wang Y, Thompson J, Giovinazzo J, Finlay M, Sankreacha R. Practical Implementation of Failure Mode and Effects Analysis for Safety and Efficiency in Stereotactic Radiosurgery. International Journal of Radiation Oncology, Biology,Physics. 2015;91(5):1003-8.[Pub Med]
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):619-42.
Bozdag E, Asan U, Soyer A, Serdarasan S. Risk prioritization in Failure Mode and Effects Analysis using interval type-2 fuzzy sets. Expert Systems with Applications. 2015;42(8):4000-15.
Liu HC, You JX, You XY, Shan MM. A novel approach for failure mode and effects analysis using combination weighting and fuzzy VIKOR method. Applied Soft Computing. 2015;28:579-88.
Liu HC, You JX, Fan XJ, Lin QL. Failure mode and effects analysis using D numbers and grey relational projection method. Expert Systems with Applications. 2014;41(10):4670-9.
Liu HC, Liu L, Liu N. Risk evaluation approaches in failure mode and effects analysis: A literature review. Expert systems with applications. 2013;40(2):828-38.
Liu HC, Liu L, Bian QH, Lin QL, Dong N, Xu PC. Failure mode and effects analysis using fuzzy evidential reasoning approach and grey theory. Expert Systems with Applications. 2011;38(4):4403-15.
Jong CH, Tay KM, Lim CP. Application of the fuzzy failure mode and effect analysis methodology to edible bird nest processing. Computers and electronics in agriculture. 2013;96:90-108.
Song W, Ming X, Wu Z, Zhu B. A rough TOPSIS approach for failure mode and effects analysis in uncertain environments. Quality and Reliability Engineering International. 2014;30(4):473-86.
Liu HC, Fan XJ, Li P, Chen YZ. Evaluating the risk of failure modes with extended MULTIMOORA method under fuzzy environment. Engineering Applications of Artificial Intelligence. 2014;34:168-77.
Su X, Deng Y, Mahadevan S, Bao Q. An improved method for risk evaluation in failure modes and effects analysis of aircraft engine rotor blades. Engineering Failure Analysis. 2012;26:164-74.
Xiao N, Huang HZ, Li Y, He L, Jin T. Multiple failure modes analysis and weighted risk priority number evaluation in FMEA. Engineering Failure Analysis. 2011;18(4):1162-70.
Liu J, Martinez L, Wang H, Rodriguez RM, Novozhilov V. Computing with words in risk assessment. International Journal of Computational Intelligence Systems. 2010;3(4):396-419.
Giardina M, Morale M. Safety study of an LNG regasification plant using an FMECA and HAZOP integrated methodology. Journal of Loss Prevention in the Process Industries. 2015;35:35-45.
Lin QL, Wang DJ, Lin WG, Liu HC. Human reliability assessment for medical devices based on failure mode and effects analysis and fuzzy linguistic theory. Safety science. 2014;62:248-56.
Masini L, Donis L, Loi G, Mones E, Molina E, Bolchini C, et al. Application of failure mode and effects analysis to intracranial stereotactic radiation surgery by linear accelerator. Practical radiation oncology. 2014;4(6):392-7.[Pub Med]
Chen PS, Wu MT. A modified failure mode and effects analysis method for supplier selection problems in the supply chain risk environment: A case study. Computers & Industrial Engineering. 2013;66(4):634-42.
Jafari MJ, Gharari NA, Sheikhi HR. The reliability of a tunnel boring machine. International journal of occupational hygiene. 2009;1(1):20-5.
Liu HC, Liu L, Liu N, Mao LX. Risk evaluation in failure mode and effects analysis with extended VIKOR method under fuzzy environment. Expert Systems with Applications. 2012;39(17):12926-34.
Liao CJ, Ho CC. Risk management for outsourcing biomedical waste disposal–Using the failure mode and effects analysis. Waste management. 2014;34(7):1324-9.[Pub Med]
Jiang Y, Jiang H, Ding S, Liu Q. Application of failure mode and effects analysis in a clinical chemistry laboratory. Clinica Chimica Acta. 2015;448:80-5.[Pub MED]
- Abstract Viewed: 829 times
- PDF (فارسی) Downloaded: 419 times