Fuzzy Based Failure Mode and Effect Analysis Towards to Risks of Autonomous Maintenance Activities: As a TPM Implementation

Abstract

Manufacturing companies attach importance to Total Productive Maintenance (TPM) applications to extend equipment life and increase efficiency. The recommended applications with TPM are carried out under the pillar activities. Autonomous Maintenance (AM) pillar manage the assignments of the operators to undertake routine maintenance work on machine maintenance. Cleaning, lubrication and control activities are one of the steps of AM pillar and operators need to do them daily. However, there are a number of occupational health and safety risks that operators may face during these activities. Safety (S) pillar which serve as another TPM pillar, deal with occupational accidents and possible situations during TPM applications. AM and S pillars work together to assess the risks that may occur during AM applications. Failure Mode and Effect Analysis (FMEA) is also frequently utilized for risk assessment, but this is criticized in terms of the difficulty in reaching the common point of decision-makers’ risk assessment and equal weighting of risk factors. Therefore, it is appropriate to support with the fuzzy logic approach. In this study, the entropy-weighted fuzzy based FMEA method was utilized for identify and prioritize potential risks that may be encountered during the AM activities. Potential risks were revealed and evaluated with the FMEA team. Eleven potential risks were identified in the study. The risk factors of the assessment were weighted by the entropy method. The risk of hand injuring during cleaning the oil below material cutting saw has the highest risk priority.

Keywords

• TPM
• FMEA
• Fuzzy-Logic
• Entropy
• MCDM

References

1. Alcan, P., Balin, A., & Başlıgil, H., (2013). Fuzzy Multicriteria Selection among Cogeneration Systems: A Real Case Application. Energy Build, 67: 624–634.
2. Bao, J., Johansson, J., & Zhang, J. (2017). An Occupational Disease assessment of the Mining Industry’s Occupational Health and Safety Management System Based on FMEA and an Improved AHP Model. Sustainability, 9(1), 94.
3. Braglia, M. (2000). MAFMA: Multi-Attribute Failure Mode Analysis. International Journal of Quality & Reliability Management, 17(9), 1017–1033.
4. Braglia, M., Frosolini, M., & Montanari, R. (2003). Fuzzy TOPSIS Approach For Failure Mode, Effects and Criticality Analysis. Quality and Reliability Engineering International, 19(5), 425–443.
5. Chang, C. L., Liu, P. H., & Wei, C. C. (2001). Failure Mode and Effects Analysis Using Grey Theory. Integrated Manufacturing Systems, 12(3), 211–216.
6. Chang, C. L., Wei, C. C., & Lee, Y. H. (1999). Failure Mode and Effects Analysis Using Fuzzy Method and Grey Theory. Kybernetes, 28(9), 1072–1080.
7. Chen, C. C. (2013). A Developed Autonomous Preventive Maintenance Programme Using RCA and FMEA. International Journal of Production Research, 51(18), 5404-5412.
8. Chin, K. S., Wang, Y. M., Poon, G. K. K., & Yang, J. B. (2009). Failure Mode and Effects Analysis by Data Envelopment Analysis. Decision Support Systems, 48(1), 246–256.

9. Chong, K. E., Ng, K. C., & Goh, G. G. G. (2015). Improving Overall Equipment Effectiveness (OEE) through Integration of Maintenance Failure Mode and Effect Analysis (maintenance- FMEA) in a Semiconductor Manufacturer: A Case Study. In 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (1427- 1431). IEEE.
10. Dağsuyu, C., Göçmen, E., Narlı, M., & Kokangül, A. (2016). Classical and Fuzzy FMEA Risk Analysis In a Sterilization Unit. Computers & Industrial Engineering, 101, 286-294.
11. Eti, M. C., Ogaji, S. O. T., & Probert, S. D. (2004). Implementing Total Productive Maintenance in Nigerian Manufacturing Industries. Applied energy, 79(4), 385-401.
12. Eti, M. C., Ogaji, S. O. T., & Probert, S. D. (2007). Integrating Reliability, Availability, Maintainability and Supportability with Risk Analysis for Improved Operation of the AFAM Thermal Power-Station. Applied Energy, 84(2), 202-221.
13. Garcia, P. A. A., Schirru, R., & Frutuoso Emelo, P. F. (2005). A Fuzzy Data Envelopment Analysis Approach for FMEA. Progress in Nuclear Energy, 46(3–4), 359.
14. Hu, Y., Wu, S. & Cai, L. (2009). Fuzzy Multicriteria Decision Making TOPSIS for Distribution Center Location Selection. 2009 International Conference on Networks Security, Wireless Communications and Trusted Computing (Vol. 2, pp. 707-710). IEEE.
15. Ilangkumaran, M., Shanmugam, P., Sakthivel, G., & Visagavel, K. (2014). Failure Mode and Effect Analysis Using Fuzzy Analytic Hierarchy Process. International Journal of Productivity and Quality Management, 14(3), 296-313.
16. Immawan, T., Sutrisno, W., & Rachman, A. K. (2018). Operational Risk Analysis with Fuzzy FMEA (Failure Mode and Effect Analysis) Approach (Case Study: Optimus Creative Bandung). In MATEC Web of Conferences (Vol. 154, p. 01084). EDP Sciences.
17. Jamshidi, A., Rahimi, S. A., Ait-Kadi, D., & Ruiz, A. (2015). A Comprehensive Fuzzy Risk-Based Maintenance Framework for Prioritization of Medical Devices. Applied Soft Computing, 32, 322-334.
18. Keay, E. & Borycki, E. (2010). Methods to Assess the Safety of Health Information Systems. Healthcare Quarterly, 13(Special issue), 47-52.
19. Kutlu, A., C. & Ekmekçioğlu, M. (2012). Fuzzy Failure Modes and Effect Analysis by Using Fuzzy TOPSIS-Based Fuzzy AHP. Expert System with Applications, 39(1), 61-67.
20. Liu, H. C. (2016). FMEA Using Uncertainty Theories and MCDM Methods. In FMEA Using Uncertainty Theories and MCDM Methods (13-27). Springer, Singapore.
21. Liu, H. C., Liu, L., Liu, N., & Mao, L. X. (2012). Risk Evaluation in Failure Mode and Effects Analysis with Extended VIKOR Method under Fuzzy Environment. Expert Systems with Applications, 39(17), 12926-12934.
22. McKone, K. E., & Weiss, E. N. (1998). TPM: planned and Autonomous Maintenance: Bridging the Gap between Practice and Research. Production and operations management, 7(4), 335-351.
23. Nakajima, S. (1988). Introduction to TPM. Productivity Press, Cambridge, MA.
24. Ostadi, B., & Saifpanahi, H. (2017). A Practical Self-Assessment Framework for Evaluation of Maintenance Management System based on RAMS Model and Maintenance Standards. Journal of Industrial and Systems Engineering, 10, 125-143.
25. Özveri, O., & Kabak, M. (2015). The Usage of MCDM Techniques in Failure Mode and Effect Analysis. Journal of Economics and Management Research, 4(2), p94-108.
26. Pomorski, T. R. (2004). Total Productive Maintenance (TPM) Concepts and Literature Review. Brooks Automation, 1-110. Rodrigues, M., & Hatakeyama, K. (2006). Analysis of the Fall of TPM in Companies. Journal of Materials Processing Technology, 179(1-3), 276-279.
27. Salehi, M. & Tavakkoli-Moghaddam, R. (2008). Project Selection by Using a Fuzzy TOPSIS Technique. World Academy of Science, Engineering and Technology, 40, 85-90.
28. Sanayei, A., Mousavi, S.F. & Yazdankhah, A. (2010). Group Decision Making Process for Supplier Selection with VIKOR under Fuzzy Environment. Expert Systems with Applications, 37(1), 24-30.
29. Sarı, E. B. Toplam Verimli Bakım Uygulayan Bir İşletmede Bakım Personelinin Performans Değerleme Puanlarının Entropi Tabanlı VİKOR Sıralaması ile Karşılaştırılması. İşletme Bilimi Dergisi, 5(3), 59-78.
30. Selim, H., Yunusoğlu, M. G., & Yılmaz Balaman, Ş. (2016). A Dynamic Maintenance Planning Framework Based on Fuzzy TOPSIS and FMEA: Application in An International Food Company. Quality and Reliability Engineering International, 32(3), 795-804.
31. Shaikh, A., & Mettas, A. (2010). Application of Reliability, Availability, and Maintainability Simulation to Process Industries: A Case Study. In Simulation Methods for Reliability and Availability of Complex Systems (173-197). Springer, London.
32. Shannon, C.E., & Weaver, W., (1947). A Mathematical Theory of Communication, The University of Illinois Press, Urbana.
33. Sharma RK, & Sharma P. (2010). System Failure Behavior and Maintenance Decision Making Using, RCA, FMEA and FM. Journal of Quality in Maintenance Engineering, 16 (1), 64 – 88.
34. Sharma, R. K., Kumar, D., & Kumar, P. (2007). Modeling and analysing system failure behaviour using RCA, FMEA and NHPPP models. International Journal of Quality & Reliability Management.
35. Sharma, R. K., & Kumar, S. (2008). Performance Modeling Critical Engineering Systems Using RAM Analysis. Reliability Engineering & System Safety, 93(6), 913-919.
36. Sharma, R. K., Kumar, D., & Kumar, P. (2005). Systematic Failure Mode Effect Analysis (FMEA) Using Fuzzy Linguistic Modelling. International Journal of Quality & Reliability Management, 22(9), 986-1004.
37. Sharma, R. K., Kumar, D., & Kumar, P. (2007). Modeling and Analyzing System Failure Behaviour Using RCA, FMEA and NHPPP Models. International Journal of Quality & Reliability Management, 24(5), 525-546.
38. Shirose, K. (1992). TPM for Operators. Portland, OR, Productivity Press.
39. Singh, R., Gohil, A. M., Shah, D. B., & Desai, S. (2013). Total Productive Maintenance (TPM) Implementation in A Machine Shop: A Case Study. Procedia Engineering, 51, 592-599.
40. Souza RQ, & Álvares AJ. (2008). FMEA and FTA Analysis for Application of Reliability-Centered Maintenance Methodology: Case Study on Hydraulic Turbines. ABCM Symposium Series in Mechatronics 2008, 3 :803 – 812.
41. Stamatis, D. H. (2003). Failure Mode and Effect Analysis: FMEA From Theory to Execution. ASQ Quality press.
42. Tajiri, M., & Gotoh, F. (1992). TPM implementation, a Japanese approach. New York, NY: McGraw-Hill.
43. Tay, K. M., & Lim, C.P., (2006). Fuzzy FMEA with A Guided Rules Reduction System for Prioritization of Failures. International Journal Quality Reliability Management. 23(8), 1047–1066.
44. Venkatesh, J. (2007). An Introduction to Total Productive Maintenance (TPM). The Plant Maintenance Resource Center, 3-20.
45. Wakjira, M. W., & Singh, A. P. (2012). Total Productive Maintenance: A Case Study in Manufacturing Industry. Global Journal of Research In Engineering, 12(1-G).
46. Wang, Y.M., Chin, K.S., Poon, G.K.K., & Yang, J.B., (2009). Risk Evaluation In Failure Mode and Effects Analysis Using Fuzzy Weighted Geometric Mean. Expert Systems with Applications, 36(2), 1195–1207.
47. Yadav, O. P., Singh, N., Goel, P. S., & Itabashi-Campbell, R. (2003). A Framework for Reliability Prediction during Product Development Process Incorporating Engineering Judgements. Quality Engineering, 15(4), 649-662.
48. Zadeh, L.A. (1965). Fuzzy Sets. Information and Control, 8, 338- 383.
49. Zadeh, L.A. (1975). The Concept of Linguistic Variable and Its Application to Approximate Reasoning. Information Sciences, 8, 199-249.
50. Zeng, S. X., Tam, C. M., & Tam, V. W. (2010). Integrating Safety, Environmental and Quality Risks for Project Management Using a FMEA Method. Engineering Economics, 66(1), 44- 52.