Reduce the Risk of Failure of The Automotive Part Manufacturing Process using PFMEA AIAG-VDA: Case Study of Automotive Motorcycle Supplier in Indonesia

Suryadi Ali, Choesnul Jaqin


Competition in the automotive industry, especially in Indonesia, is quite tight. Automotive OEMs require their suppliers, both Tier-1 and Tier-2, to supply quality products consistently. One of the indicators of supplier evaluation is the quality performance with abnormal product quality detection parameters from supplier to automotive OEM, and even to end-user if this happens on motorcycles. For this reason, this research aims to analyze and improve supplier performance level, mainly the manufacture of OEM motorcycle spare parts, by looking at the risk of production process failure. The method analyses for this research use AIAG-VDA PFMEA to analyze this starting from the closest case or the occurrence of abnormal violations on the assembly of OEMs and even end-users of motorcycles. The results showed that one of the suppliers processing with the lowest value, the Cap Camshaft product, in the casting process, there was a crack failure on the product. The cause of cracking by analyzing the casting process found that was due to bile on the casting and the instability of the bolting assembly area caused cracking on the camshaft cover. The repaired item standardizes the Nozzle Spray Die on Dies' lubrication direction and increases the level of abnormal detection, especially cracks with color detector inspection items. The Purpose of improvement proposals is to analyze the process with risk forecasting patterns and avoid process failures and even flow to customers.


Quality Performance OEM PFMEA AIAG-VDA Cap Camshaft Automotive

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Arabsheybani, A., Paydar, M. M., & Safaei, A. S. (2018). An integrated fuzzy MOORA method and FMEA technique for sustainable supplier selection considering quantity discounts and supplier's risk. Journal of Cleaner Production, 190, 577–591.

Asosiasi Industri Sepeda Motor Indonesia. 2019. “Statistic Distribution”,

Association of indonesian automotive industries. 2019. "Indonesian Automobile Industry Data",

Automotive Industry Action Group. (2019). AIAG VDA Failure Mode and Effects Analysis. Michigan. United States America.

Chokkalingam, B., Raja, V., Anburaj, J., Immanual, R., & Dhineshkumar, M. (2017). Investigation of Shrinkage Defect in Castings by Quantitative Ishikawa Diagram. Archives of Foundry Engineering, 17(1), 174–178.

Diagnosis, O. (2020). FMEA AIAG-VDA - Commentary and Case Study. February.

Dobrusskin, C. (2016). On the Identification of Contradictions Using Cause Effect Chain Analysis. Procedia CIRP, 39, 221–224.

Ershadi, M. J., Aiasi, R., & Kazemi, S. (2018). Root cause analysis in quality problem solving of research information systems: A case study. International Journal of Productivity and Quality Management, 24(2), 284–299.

Esa, F., & Yusof, Y. (2017). Perception of TQM Implementation and Perceived Cost of Poor Quality: A Case Study of Local Automotive Company's Supplier. International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering, 11(2), 395–401.

Febriana, T. H., Hernadewita., Hermawan, C., Herlambang, H. (2020). Perbaikan Ketahanan Lifetime Bladder untuk Peningkatan Curing Efficiency pada Proses Industri Tire Manufacture. Indonesian Journal of Industrial Engineering & Management, 1(1), 33-44.

Jaqin, C., Rozak, A., & Purba, H. H. (2020). Quality Function Deployment for Quality Performance Analysis in Indonesian Automotive Company for Engine Manufacturing. ComTech: Computer, Mathematics and Engineering Applications, 11(1), 11–18.

Jayaprasad, G., Dhanalakshmi, P. P., Baskaran, M., & Hemachandran, S. (2018). Analysis of low isolation problem in HMC using Ishikawa model: A case study. Microelectronics Reliability, 81(February 2017), 195–200.

Jumbad, V., & Chel, A. (2018). Strategic use of control plan as a process audit tool in automotive industry: A case study. AIP Conference Proceedings, 2018.

Luo, T., Wu, C., & Duan, L. (2018). Fishbone diagram and risk matrix analysis method and its application in safety assessment of natural gas spherical tank. Journal of Cleaner Production, 174, 296–304.

Mondal, A., Halder, A. K., Nayak, S., Kumar, A., Chakraborty, A., Shukla, S., Sahoo, S., Pais, R. S., & Dutta, M. (2018). Root cause analysis of an uncommon surface defect on galvannealed steel sheet. Engineering Failure Analysis, 93(July), 64–75.

Ng, W. C., Teh, S. Y., Low, H. C., & Teoh, P. C. (2017). The integration of FMEA with other problem solving tools: A review of enhancement opportunities. Journal of Physics: Conference Series, 890(1).

Pourgol-Mohammad, M., Hejazi, A., Soleimani, M., Ghasemi, P., Ahmadi, A., & Jalali-Vahid, D. (2017). Design for reliability of automotive systems; case study of dry friction clutch. International Journal of Systems Assurance Engineering and Management, 8(3), 572–583.

Purba, H. H., Sunadi, Suhendra, & Paulina, E. (2020). The Application of Quality Function Deployment in Car Seat Industry. ComTech: Computer, Mathematics and Engineering Applications, 11(1), 35-42.

Ramly, E. F., & Atan, H. (2018). Case study on development of process failure mode effect analysis (PFMEA) - Issues and recommendation. Proceedings of the International Conference on Industrial Engineering and Operations Management, 2018-March(December), 344–350.

Rozak, A., Jaqin, C., & Hasbullah, H. (2020). Increasing overall equipment effectiveness in automotive company using DMAIC and FMEA method. Journal Europeen Des Systemes Automatises, 53(1), 55–60.

S. Parsana, T., & T. Patel, M. (2014). A Case Study: A Process FMEA Tool to Enhance Quality and Efficiency of Manufacturing Industry. Bonfring International Journal of Industrial Engineering and Management Science, 4(3), 145–152.

Syah, D. O. (2019). Identifying vertical partnership among automotive component companies: empirical evidence from automotive industry in Jabodetabek, Indonesia. Journal of Economic Structures, 8(1).

Trimarjoko, A., Saroso, D. S., Purba, H. H., Hasibuan, S., Jaqin, C., & Aisyah, S. (2019). Integration of nominal group technique, Shainin system and DMAIC methods to reduce defective products: A case study of tire manufacturing industry in Indonesia. Management Science Letters, 9(Spceial Issue 13), 2421–2432.

Yule, D. (2013). Our heritage. Manager, 27(AUTUMN), 49–50.



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