Journal of Engineering Education Transformations

Journal of Engineering Education Transformations

Year: 2020, Volume: 34, Issue: Special Issue, Pages: 281-289

Original Article

Application of Failure Modes and Effects Analysis (FMEA) in Automated Spot Welding Process of an Automobile Industry: A Case Study

Abstract

Automation in the manufacturing sector has become a subject of great interest nowadays and Spot welding through robotics has become a trend in the business market. Failure Modes and Effect Analysis (FMEA) process helps to reduce the errors and thereby improve the quality of the product being produced. The application of FMEA in this arena is a challenging task. Through this study, an attempt has been made to identify and provide solutions to the challenges faced by a small scale local automobile company. The manual operations of spot welding in the organization were replaced by a robotic process. Although the speed of production increased, certain errors in the robotic spot welding process gave rise to quality issues. Errors occurring during the execution of the robotic spot welding process were identified and analysed by Cause and Effect diagram and FMEA method. During the study, ten CO2 and three spot welding failures were observed. Efforts were made to minimize the failures by assigning risk priority numbers to each failure and mistake proofing the failures. Results indicate that proper maintenance of fixture, safety sensor and robot teaching can avoid these errors and provide a quality product. This activity has paved a path for the smooth implementation of FMEA in spot welding process by improving its effectiveness and customer centric products. To enhance quality and increase the speed of the manufacturing process, this cost effective technique can be extended to similar organizations with suitable modifications.

References

  • Dumitru, V. and Cherciu, M. (2015), Application of the FMEA Concept to Medical Robotic System, Advanced Engineering Forum, 13, pp. 324-331.
  • Hofmann, P., Samp, C. and Urbach, N. (2020), Robotic Process Automation, Electronic Markets, 30(1), pp. 99 106.
  • Kuli?ska, E., Odlanicka-Poczobutt, M. and Kuli?ska, K. (2018), Diagnosis of Operational Malfunctions and Failures by the FMEA Method in the Industrial Robots Sector, Research in Logistics and Production, 8(1), pp. 5 23. DOI: 10.21008/j.2083-4950.2018.8.1.1
  • Sharma, K. and Srivastava, S. (2018), Failure Mode and Effect Analysis (FMEA) Implementation: A Literature Review, Journal of Advanced Research in Aeronautics and Space Science, 5(1-2), pp. 1-17.
  • Jovanovic, S. Z., Duric, J. S. and Sibalija, T.V. (2018), Robotic Process Automation: Overview and Opportunities, International Journal of Advanced Quality, 46(3-4), pp. 34-39.
  • Sutrisno, A. and Lee, T. (2011), Service reliability assessment using failure mode and effect analysis (FMEA): survey and opportunity roadmap, International Journal of Engineering, Science and Technology, 3(7), pp. 25-38.
  • Doshi, J. and Desai, D. (2016), Application of failure mode & effect analysis (FMEA) for continuous quality improvement - multiple case studies in automobile SMEs, International Journal for Quality Research, 11(2), pp. 345-360. DOI: 10.18421/IJQR11.02-07
  • Rakesh, R., Jos, B. C., and Mathew, G. (2013), FMEA analysis for reducing breakdowns of a subsystem in the life care product manufacturing industry, International Journal of Engineering Science and Innovative Technology, 2(2), pp. 218-225.
  • Afolalu, S. A., Salawu, E. Y., Oluyemi, K., Ayuba, S. U., Ihebom, I. V. and Elewa, R. R. (2018), Failure Mode and Effect Analysis a Tool for Reliability Evaluation: Review, European Journal of Engineering Research and Science, 3(4), pp. 65-68. DOI: 10.24018/ejers.2018.3.4.636
  • Dastjerdi, H. A., Khorasani, E., Yarmohammadian, M. H. and Ahmadzade, M. S. (2017), Evaluating the application of failure mode and effects analysis technique in hospital wards: a systematic review,Journal of Injury and Violence Research, 9(1), pp. 51�60. DOI: 10.5249/jivr.v9i1.794
  • Subriadi, A. P. and Najwa, N. F. (2020), The consistency analysis of failure mode and effect analysis (FMEA) in information technology risk assessment,Heliyon, 6(1), pp. 1-12. DOI: 10.1016/j.heliyon.2020.e03161
  • Helia, V. N. and Wijaya, W. N. (2017), Failure Mode and Effect Analysis (FMEA) Applications to Identify Iron Sand Reject and Losses in Cement Industry: A Case Study,5th International Conference on Manufacturing, Optimization, Industrial and Material Engineering, IOP Conference Series: Materials Science and Engineering, 215(1):012039. DOI: 10.1088/1757-899X/215/1/012039
  • Kumar, R. and Mondloi, R. K. (2018), Failure Mode and Effect Analysis of Petrol Engine of Car,International Journal of Science and Research, 7(6), 180-183. DOI: 10.21275/ART20182731
  • Josiah, A. K., Keraita, J. N. and Muchiri, P. N. (2018), Failure Mode Identification And Prioritization Using FMEA-A Case Study Of Corn Milling Industry, IOSR Journal of Mechanical and Civil Engineering,15(2), Ver. III, pp. 21-28.
  • Silva J. and Seriani S. (2018), Collaborative Robots in Manufacturing applications safety and Ergonomic Approach, Proceedings of 131st ISERD International Conference, Chicago, USA, pp. 50-55.
  • Garc�a, P. L., Crispel, S., Verstraten, T., Saerens, E., Convens, B., Vander borght, B. and Lefeber, D. (2019), Failure Mode and Effect Analysis (FMEA)-Driven Design of a Planetary Gearbox for Active Wearable Robotics, Proceedings of the 4th International Symposium on Wearable Robotics, WeRob 2018, Biosysrob, 22, pp. 460 464. DOI: 10.1007/978-3-030-01887-0_89

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