Analysis of Causes of Piping Welding Defects in Steam Gas Power Plants with FMEA and AHP method

Authors

  • Horas Canman Universitas Mercu Buana, Jakarta, Indonesia
  • Hasbullah Hasbullah Universitas Mercu Buana, Jakarta, Indonesia

DOI:

https://doi.org/10.22441/oe.2023.v15.i1.072

Keywords:

AHP, FMEA, welding, weld defect

Abstract

High welding intensity is an integral part of the construction process of a Steam Gas Power Plant (PLTGU). The existence of weld defects has a significant potential for rework, additional construction costs, and delays in project completion. In the fabrication of pipe joints by welding in the PLTGU additional construction project with a capacity of 650 MW in Muara Tawar, welded joints were found to be rejected at 22.44%. This study aimed to analyze and determine the leading causes of rejected weld defects at the welded joint using the methods used, namely FMEA and AHP. Based on the Pareto diagram, it is known that two types of welding defects dominantly occur in welded joints which will then become the priority for repairs carried out by the contractor, namely porosity and cluster porosity. Based on the FMEA method, it is known that two groups of Risk Priority Number (RPN) values differ quite a lot, namely the group with low RPN values (1-140) and the group.  

Downloads

Download data is not yet available.

Author Biographies

Horas Canman, Universitas Mercu Buana, Jakarta

Master of Industrial Engineering Student

Hasbullah Hasbullah, Universitas Mercu Buana, Jakarta

Industrial Engineering Department

References

Aini, R. Q. (2021). Work Accident Analysis to Increase Work Productivity Using Failure Mode and Effect Analysis (FMEA) and Fault Tree Analysis (FTA) Methods at PT . XYZ. Budapest International Research and Critics Institute-Journal (BIRCI-Journal), 5(2), 14680–14695. https://doi.org/10.33258/birci.v5i2.5345

Aprianto, T., Nuryono, A., Setiawan, I., Kurnia, H., & Purba, H. H. (2022). Waste Analysis in the Speaker Box Assy Process to Reduce Lead Time in the Electronic Musical Instrument Industry. Quality Innovation Prosperity, 26(3), 53–65. https://doi.org/10.12776/qip.v26i3.1744

Aprianto, T., Setiawan, I., & Purba, H. H. (2021). Implementasi metode Failure Mode and Effect Analysis pada Industri di Asia – Kajian Literatur. Jurnal Manajemen & Teknik Industri – Produksi, 21(2), 165–174. https://doi.org/10.350587/Matrik

Berrekia, H., Benzerg, D., & Haddi, A. (2019). Behavior and damage of a pipe in the presence of a corrosion defect depth of 10% of its thickness and highlighting the weaknesses of the ASME/B31G method. Frattura Ed Integrita Strutturale, 13(49), 643–654. https://doi.org/10.3221/IGF-ESIS.49.58

Hartini, S., Hasibuan, S., & Kodrat, K. F. (2019, December). Analisis Key Performance Indicator Sebagai Alat Pengukuran Kinerja Rantai Pasok Produk Garam Industri Mengunakan Metode SCOR-AHP. In Talenta Conference Series: Energy and Engineering (EE) (Vol. 2, No. 4). https://doi.org/10.32734/ee.v2i4.663

Hernadewita, H., Setiawan, I., & Hendra, H. (2022). Enhance quality improvement through lean six sigma in division Side Board Clavinova Piano’s. International Journal of Production Management and Engineering, 10(2), 173–181. https://doi.org/10.4995/ijpme.2022.16140

Mutlu, N. G., & Altuntas, S. (2019). Risk analysis for occupational safety and health in the textile industry: Integration of FMEA, FTA, and BIFPET methods. International Journal of Industrial Ergonomics, 72(May), 222–240. https://doi.org/10.1016/j.ergon.2019.05.013

Qin, J., Xi, Y., & Pedrycz, W. (2020). Failure mode and effects analysis (FMEA) for risk assessment based on interval type-2 fuzzy evidential reasoning method. Applied Soft Computing Journal, 89, 106134. https://doi.org/10.1016/j.asoc.2020.106134

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. https://doi.org/10.18280/jesa.530107

Sequeira, M., & Adlemo, A. (2021). AHP-based support tools for initial screening of manufacturing reshoring decisions. Journal of Global Operations and Strategic Sourcing, 14(3), 502–527. https://doi.org/10.1108/JGOSS-07-2020-0037

Setiawan, I., & Setiawan. (2020). Defect reduction of roof panel part in the export delivery process using the DMAIC method: a case study. Jurnal Sistem Dan Manajemen Industri, 4(2), 108–116. https://doi.org/10.30656/jsmi.v4i2.2775

Tešić, D. (2020). Measuring dimensions of service quality. Strategic Management, 25(1), 12–20. https://doi.org/10.5937/straman2001012t

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. https://doi.org/10.5267/j.msl.2019.7.013

Wahid, M., Setiawan, I., Maulana, S., Arifin, M. M., & Rochim, A. (2022). Pemilihan Authorized Service Center (ASC) Menggunakan Metode Analytical Hierarcy Process (AHP) di Industri Water Heater. Jurnal Optimalisasi, 08(02), 162–168. https://doi.org/10.35308/jopt.v8i2.5744

Wang, C. N., Huang, Y. F., Cheng, I. F., & Nguyen, V. T. (2018). A Multi-Criteria Decision-Making (MCDM) Approach Using Hybrid SCOR Metrics, AHP, and TOPSIS for supplier evaluation and selection in the gas and oil industry. Processes, 6(12), 252. https://doi.org/10.3390/pr6120252

Yu, C.-C., & Liu, C.-C. (2021). Applying Fuzzy AHP to Evaluate the Key Selection Criteria for Green Hotel Operation Managers. Journal of Business and Management Sciences, 9(1), 12–16. https://doi.org/10.12691/jbms-9-1-2

Downloads

Additional Files

Published

2023-08-05

How to Cite

[1]
H. Canman and H. Hasbullah, “Analysis of Causes of Piping Welding Defects in Steam Gas Power Plants with FMEA and AHP method”, OE, vol. 15, no. 1, pp. 52–64, Aug. 2023.