Reduced painting defects in the 4-wheeled vehicle industry on product type H-1 using the lean six sigma-DMAIC approach

Authors

  • Iskandar Zulkarnaen Universitas Bhayangkara Jakarta
  • Hibarkah Kurnia Universitas Pelita Bangsa
  • Bungaran Saing Universitas Bhayangkara Jakarta
  • Apriyani Apriyani Universitas Bhayangkara Jakarta
  • Arif Nuryono Universitas Bhayangkara Jakarta

DOI:

https://doi.org/10.30656/jsmi.v7i2.7512

Keywords:

DMAIC, Four block diagram, Painting defect, Six sigma, Value stream mapping

Abstract

The current era provides challenges for several automotive industries to be able to compete and maintain the quality of their products. For four-wheeled auto­motive companies, satisfying customers regarding the visual appear­ance of the vehicle body is very important. However, internally, automotive companies still found many defects or failures in painting, amounting to 32.6%. Apart from that, rework also results in additional costs that the company must incur during the painting process. This study aims to clarify types of painting defects, analyze root causes, provide solutions, improve process capabilities, and in­crease the sigma level in the painting process in the four-wheeled vehicle industry. This study uses the Lean Six Sigma method, which is integrated into the DMAIC approach and other improve­ment tools. As a result, this study clarifies four critical defects in the orange peel defects of the painting section, craters, melting, and blur. This study has resulted in several corrective action solutions, including tightening supervision of the performance of painting section operators so that they are consistent and committed to working according to the Standard Operational Procedure (SOP) or work instructions that have been created. A competency matrix is used to evaluate operator performance, which is reported to super­iors and subordinates by the supervisory depart­ment. After carrying out corrective action, this study increased the process capability from 1.17 to 1.92. The higher the capability value, the higher the sigma level. This study also has increased the sigma level from 2.76 to 3.42, meaning an increase of 78%.

.

Downloads

Download data is not yet available.

References

R. Fauziyah, Y. Rohayati, and B. H. Sagita, ‘Integrating e-servqual and kano model to improve adorable projects website service quality’, J. Sist. dan Manaj. Ind., vol. 3, no. 2, pp. 98–106, Dec. 2019, doi: https://doi.org/10.30656/jsmi.v3i2.1505.

D. Sjarifudin, H. Kurnia, H. H. Purba, and C. Jaqin, ‘Implementation of six sigma approach for increasing quality formal men’s jackets in the garment industry’, J. Sist. dan Manaj. Ind., vol. 6, no. 1, pp. 33–44, Jun. 2022, doi: https://doi.org/10.30656/jsmi.v6i1.4359.

I. Setiawan, H. Kurnia, S. Setiawan, H. Purba, and H. Hernadewita, ‘Reduce Transportation Costs Using the Milk-run System and Dynamo Stages in the Vehicle Manufacturing Industry’, Oper. Res. Eng. Sci. Theory Appl., vol. 05, no. 02, pp. 17–27, 2022, doi: https://doi.org/10.31181/oresta240622030s.

A. Pauliková, ‘Visualization Concept of Automotive Quality Management System Standard’, Standards, vol. 2, no. 2, pp. 226–245, Jun. 2022, doi: https://doi.org/10.3390/standards2020017.

F. Ellrich et al., ‘Terahertz Quality Inspection for Automotive and Aviation Industries’, J. Infrared, Millimeter, Terahertz Waves, vol. 41, no. 4, pp. 470–489, Apr. 2020, doi: https://doi.org/10.1007/s10762-019-00639-4.

A. Stateczny, W. Kazimierski, P. Burdziakowski, W. Motyl, and M. Wisniewska, ‘Shore Construction Detection by Automotive Radar for the Needs of Autonomous Surface Vehicle Navigation’, Int. J. Geo-Information, vol. 80, no. 8, pp. 1–19, 2019, doi: https://doi.org/10.3390/ijgi8020080.

M. de Clerk, M. Dangelmaier, G. Schmierer, and D. Spath, ‘User Centered Design of Interaction Techniques for VR-Based Automotive Design Reviews’, Front. Robot. AI, vol. 6, no. 13, pp. 1–11, Mar. 2019, doi: https://doi.org/10.3389/frobt.2019.00013.

H. Darmawan, S. Hasibuan, and H. Hardi Purba, ‘Application of Kaizen Concept with 8 Steps PDCA to Reduce in Line Defect at Pasting Process: A Case Study in Automotive Battery’, Int. J. Adv. Sci. Res. Eng., vol. 4, no. 8, pp. 97–107, 2018, doi: https://doi.org/10.31695/IJASRE.2018.32800.

D. Bacioiu, G. Melton, M. Papaelias, and R. Shaw, ‘Automated defect classification of SS304 TIG welding process using visible spectrum camera and machine learning’, NDT E Int., vol. 107, no. 6, p. 102139, Oct. 2019, doi: https://doi.org/10.1016/j.ndteint.2019.102139.

J. Malek and D. Desai, ‘Reducing rejection/rework in pressure die casting process by application of dmaic methodology of six sigma’, Int. J. Qual. Res., vol. 9, no. 4, pp. 577–604, 2015, [Online]. Available: http://www.ijqr.net/journal/v9-n4/3.pdf.

S. Szalai, V. Fehér, D. Kurhan, A. Németh, M. Sysyn, and S. Fischer, ‘Optimization of Surface Cleaning and Painting Methods for DIC Measurements on Automotive and Railway Aluminum Materials’, Infrastructures, vol. 8, no. 2, p. 27, Feb. 2023, doi: https://doi.org/10.3390/infrastructures8020027.

H. Rifqi, A. Zamma, S. Ben Souda, and M. Hansali, ‘Lean Manufacturing Implementation through DMAIC Approach: A Case Study in the Automotive Industry’, Qual. Innov. Prosper., vol. 25, no. 2, pp. 54–77, Jul. 2021, doi: https://doi.org/10.12776/qip.v25i2.1576.

H. Kurnia, C. Jaqin, and H. H. Purba, ‘Quality improvement with PDCA approach and design of experiment method in single socks industry in Indonesia’, in International Conference on Informatics, Technology, and Engineering 2021 (InCITE), 2022, vol. 2470, no. 1, p. 020007, doi: https://doi.org/10.1063/5.0080179.

T. Aprianto, A. Nuryono, I. Setiawan, H. Kurnia, and H. H. Purba, ‘Waste Analysis in the Speaker Box Assy Process to Reduce Lead Time in the Electronic Musical Instrument Industry’, Qual. Innov. Prosper., vol. 26, no. 3, pp. 53–65, Nov. 2022, doi: https://doi.org/10.12776/qip.v26i3.1744.

R. Ahammed and M. Z. Hasan, ‘Humming noise reduction of ceiling fan in the mass production applying DMAIC-six sigma approach’, World J. Eng., vol. 18, no. 1, pp. 106–121, Jan. 2021, doi: https://doi.org/10.1108/WJE-07-2020-0329.

S. Prainetr, N. Prainetr, and S. Kanhakhun, ‘Development of Manufacturing Efficiency using Industry Cluster and Invention Method Application: Case Study Machetes Production Group in Nakhon Phanom Province Thailand’, Walailak J. Sci. Technol., vol. 17, no. 9, pp. 990–997, Sep. 2020, doi: https://doi.org/10.48048/wjst.2020.5398.

T. N. Wiyatno and H. Kurnia, ‘Increasing Overall Equipment Effectiveness in the Computer Numerical Control Lathe Machines using the Total Productive Maintenance Approach’, OPSI, vol. 15, no. 2, pp. 284–29, Dec. 2022, doi: https://doi.org/10.31315/opsi.v15i1.7284.

D. Sjarifudin and H. Kurnia, ‘The PDCA Approach with Seven Quality Tools for Quality Improvement Men’s Formal Jackets in Indonesia Garment Industry’, J. Sist. Tek. Ind., vol. 24, no. 2, pp. 159–176, Jul. 2022, doi: https://doi.org/10.32734/jsti.v24i2.7711.

T. Hussain, H. Jamshaid, and A. Sohail, ‘Reducing defects in textile weaving by applying Six Sigma methodology: a case study’, Int. J. Six Sigma Compet. Advant., vol. 8, no. 2, pp. 95–104, 2014, doi: https://doi.org/10.1504/IJSSCA.2014.064254.

H. Kurnia, C. Jaqin, and H. Manurung, ‘Implemantation of the DMAIC Approach for Quality Improvement at the Elastic Tape Industry’, J@ti Undip J. Tek. Ind., vol. 17, no. 1, pp. 40–51, 2022, doi: https://doi.org/10.14710/jati.17.1.40-51.

H. Kurniawan, J. Choesnul, P. H. Hardi, and I. Setiawan, ‘Implementation of Six Sigma in the DMAIC Approach for Quality Improvement in the Knitting Socks Industry’, Tekst. ve Mühendis, vol. 28, no. 124, pp. 269–278, Dec. 2021, doi: https://doi.org/10.7216/1300759920212812403.

J. Choomlucksana, M. Ongsaranakorn, and P. Suksabai, ‘Improving the Productivity of Sheet Metal Stamping Subassembly Area Using the Application of Lean Manufacturing Principles’, Procedia Manuf., vol. 2, no. February, pp. 102–107, 2015, doi: https://doi.org/10.1016/j.promfg.2015.07.090.

C. Jaqin, H. Kurnia, H. H. Purba, T. D. Molle, and S. Aisyah, ‘Lean concept to reduce waste of process time in the plastic injection industry in Indonesia’, Niger. J. Technol. Dev., vol. 20, no. 2, pp. 73–82, Oct. 2023, doi: https://doi.org/10.4314/njtd.v20i2.1396.

H. Kurnia and H. H. Purba, ‘A systematic literature review of lean six sigma in various industries’, J. Eng. Manag. Ind. Syst., vol. 9, no. 2, pp. 19–30, 2021, [Online]. Available: https://jemis.ub.ac.id/index.php/jemis/article/view/409.

D. I. Sukma, H. A. Prabowo, I. Setiawan, H. Kurnia, and I. M. Fahturizal, ‘Implementation of Total Productive Maintenance to Improve Overall Equipment Effectiveness of Linear Accelerator Synergy Platform Cancer Therapy’, Int. J. Eng., vol. 35, no. 07, pp. 1–11, 2022, doi: https://doi.org/10.5829/IJE.2022.35.07A.05.

H. Kurnia, S. Setiawan, and M. Hamsal, ‘Implementation of statistical process control for quality control cycle in the various industry in Indonesia: A systematic literature review’, Oper. Excell. J. Appl. Ind. Eng., vol. 13, no. 2, pp. 194–206, Jul. 2021, doi: https://doi.org/10.22441/oe.2021.v13.i2.018.

M. M. Uddin, ‘Improving Product Quality and Production Yield in Wood Flooring Manufacturing Using Basic Quality Tools’, Int. J. Qual. Res., vol. 15, no. 1, pp. 155–170, Jan. 2021, doi: https://doi.org/10.24874/IJQR15.01-09.

H. Kurnia, C. Jaqin, and H. H. Purba, ‘Quality Improvement with the DMAIC Approach Using the Implementation of Benchmarking and KPI Methods’, in Industrial Engineering and Operations Management (IEOM), 2022, vol. 2, no. 9, pp. 2122–2133, [Online]. Available: http://ieomsociety.org/proceedings/2021indonesia/400.pdf.

E. Maryani, H. H. Purba, and S. Sunadi, ‘Process Capability Improvement Through DMAIC Method for Aluminium Alloy Wheels Casting’, J. Ind. Eng. Manag. Res., vol. 1, no. 4, pp. 19–26, 2020, doi: https://doi.org/10.7777/jiemar.v1i2.

T. Costa, F. J. G. Silva, and L. Pinto Ferreira, ‘Improve the extrusion process in tire production using Six Sigma methodology’, Procedia Manuf., vol. 13, pp. 1104–1111, 2017, doi: https://doi.org/10.1016/j.promfg.2017.09.171.

A. A. Hidayat, M. Kholil, J. Haekal, N. A. Ayuni, and T. Widodo, ‘Lean Manufacturing Integration in Reducing the Number of Defects in the Finish Grinding Disk Brake with DMAIC and FMEA Methods in the Automotive Sub Industry Company’, Int. J. Sci. Adv., vol. 2, no. 5, pp. 713–718, 2021, doi: https://doi.org/10.51542/ijscia.v2i5.7.

Ã. Medinilla, Agile Kaizen. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014, doi: https://doi.org/10.1007/978-3-642-54991-5.

H. Kurnia, C. Jaqin, and H. Hardi Purba, ‘The PDCA Approach with OEE Methods for Increasing Productivity in The Garment Industry’, J. Ilm. Tek. Ind., vol. 10, no. 1, pp. 57–68, 2022, [Online]. Available: https://journal.untar.ac.id/index.php/industri/article/view/15430.

C. P. Carvalho, D. S. Carvalho, and M. B. Silva, ‘Value stream mapping as a lean manufacturing tool: A new account approach for cost saving in a textile company’, Int. J. Prod. Manag. Eng., vol. 7, no. 1, p. 1, Jan. 2019, doi: https://doi.org/10.4995/ijpme.2019.8607.

S. Zahoor et al., ‘Application of value stream mapping (Vsm) in gear manufacturing process: A case study’, in Advances in Transdisciplinary Engineering, 2018, vol. 8, no. September, pp. 505–510, [Online]. Available: https://ebooks.iospress.nl/volumearticle/50161.

A. Pugna, R. Negrea, and S. Miclea, ‘Using Six Sigma Methodology to Improve the Assembly Process in an Automotive Company’, Procedia - Soc. Behav. Sci., vol. 221, pp. 308–316, Jun. 2016, doi: https://doi.org/10.1016/j.sbspro.2016.05.120.

Downloads

Published

2023-12-28

How to Cite

[1]
I. Zulkarnaen, H. Kurnia, B. Saing, A. Apriyani, and A. . Nuryono, “Reduced painting defects in the 4-wheeled vehicle industry on product type H-1 using the lean six sigma-DMAIC approach”, j. sist. manaj. ind., vol. 7, no. 2, pp. 179–192, Dec. 2023.

Issue

Section

Research Article