Process Capability Improvement Through DMAIC Method for Aluminium Alloy Wheels Casting
Abstract
High competition in the global wheel market demands is triggering the companies who are produced to improve their process to be able to offer the best wheels quality. Process monitoring charts are employed for improving the process capability index of the process, some industries set a Cp value greater than 1.33 in assessing their process capability. The aims of this research is to reduce the number of defects in the casting process using the Define Measure Analyze Improve Control (DMAIC) method. It shows the systematic way to find out the major problem root cause at the aluminum castings by using the defect diagnostic approaches and also cause and effect diagram. Other quality tools are used such as the Fishbone diagram and Pareto diagram. These tools identified the major defects for the rejections during production were identified are leaking, porosity hole motive, and oval. In determining the proposed quality improvements using the FMEA tool. The results of data processing on the calculation of process capabilities and product performance show improvements after quality improvements in the casting process.product performance was increased from Cp = 0.81 to Cp = 1.4, sigma level = 2.9 to sigma level = 4.0. The impact for the company is the defect rate was going down and finally it created the production costs saving by IDR 417,550,000 a month. Therefore, the application of the DMAIC method can provide a significant improvement in product quality and giving an impact on production cost savings
References
T. Pyzdek and P. A. Keller, The Six Sigma Handbook, 3rd ed. New York, United States of America: The McGraw-Hill Companies, Inc., 2010.
T. D. Saravanan and D. D. Geetha, “SPC Tools in Automobile Component to Analyse Inspection Process Associated,” Int. J. Eng. Trends Technol., vol. 2, no. 2, pp. 19–23, 2011.
S. Sunadi, H. H. Purba, and S. Hasibuan, “Implementation of Statistical Process Control through PDCA Cycle to Improve Potential Capability Index of Drop Impact Resistance: A Case Study at Aluminum Beverage and Beer Cans Manufacturing Industry in Indonesia,” Qual. Innov. Prosper., vol. 24, no. 1, p. 104, 2020, doi: 10.12776/qip.v24i1.1401.
S. Sunadi, H. H. Purba, and D. S. Saroso, “Statistical Process Control ( SPC ) method to improve the capability process of drop impact resistance : a case study at aluminum cans manufacturing industry in Indonesia .,” vol. 7, no. March, pp. 92–108, 2020, doi: 10.22105/jarie.2020.217565.1135.
T. Aized, Total Quality Management And Six Sigma, 1st ed. Croatia: In Tech, Janeza Trdine 9, 51000 Rijeka, 2012.
S. Supriyati and H. Hasbullah, “Analisis cacat painting komponen automotive dengan pendekatan DMAIC-FMEA,” Oper. Excell. J. Appl. Ind. Eng., vol. 12, no. 1, p. 104, 2020, doi: 10.22441/oe.2020.v12.i1.009.
H. Ashary and C. Jaqin, “Reducing Downtime Equipment in LPM Machine Line Using DMAIC Approach at an Alloy Wheel Manufacturer in Indonesia,” Int. J. Sci. Res., vol. 5, no. 7, pp. 740–744, 2016, doi: 10.21275/v5i7.art2016205.
R. Godina, C. Pimentel, F. J. G. Silva, and J. C. O. Matias, “Improvement of the Statistical Process Control Certainty in an Automotive Manufacturing Unit,” Procedia Manuf., vol. 17, no. 6, pp. 729–736, 2018, doi: 10.1016/j.promfg.2018.10.123.
D. C. Montgomery, Introduction to Statistical Quality Control, 5th ed. New York, United States of America: John Wiley and Sons., 2005.
O. Syafwiratama, M. Hamsal, and H. H. Purba, “Reducing the nonconforming products by using the six sigma method: A case study of a polyester short cut fiber manufacturing in Indonesia,” Manag. Sci. Lett., vol. 7, no. 3, pp. 153–162, 2017, doi: 10.5267/j.msl.2016.12.001.
Ford Motor Company, Failure Mode and Effects Analysis. Ford Motor Company This, 2011.
D. H. Stamatis, The OEE Primer: Understanding Overall Equipment Effectiveness, Reliability, and Maintainability, 1st ed. New York: A Productivity Press Book, 2010.
J. P. Costa, I. S. Lopes, and J. P. Brito, “Six Sigma application for quality improvement of the pin insertion process,” Procedia Manuf., vol. 38, no. 2, pp. 1592–1599, 2019, doi: 10.1016/j.promfg.2020.01.126.
G. V. S. S. Sharma, P. S. Rao, and B. S. Babu, “Process capability improvement through DMAIC for aluminum alloy wheel machining,” J. Ind. Eng. Int., vol. 14, no. 2, pp. 213–226, 2018, doi: 10.1007/s40092-017-0220-z.
C. Sharma, O. S. Bhatia, and V. Ucharia, “A Quality Approach to Control Casting,” Int. J. Adv. Technol. Eng. Sci., vol. 3, no. 6, pp. 42–53, 2015.
E. S. Kumar, “A Work Study on Minimize the Defect in Aluminium Casting,” Int. J. Emerg. Technol. Eng. Res., vol. 3, no. 1, pp. 32–38, 2015.
T. Pyzdek, The Six Sigma Handbook, 1st ed. United States of America: The McGraw-Hill Companies, Inc., 2003.
M. Smętkowska and B. Mrugalska, “Using Six Sigma DMAIC to improve the quality of the production process : a case study,” Procedia - Soc. Behav. Sci., vol. 238, no. 2, pp. 590–596, 2018, doi: 10.1016/j.sbspro.2018.04.039.
A. Trimarjoko, D. S. Saroso, H. H. Purba, S. Hasibuan, and S. Aisyah, “Integration of nominal group technique, Shainin system and DMAIC methods to reduce defective products: A case study of tire manufacturing industry in Indonesia,” Manag. Sci. Lett., vol. 9, no. 2, pp. 2421–2432, 2019, doi: 10.5267/j.msl.2019.7.013.
A. Rozak, C. Jaqin, and H. Hasbullah, “Increasing Overall Equipment Effectiveness in Automotive Company Using DMAIC and FMEA Method,” J. Eur. des Syst. Autom., vol. 53, no. 1, pp. 55–60, 2020.
H. Hernadewita, M. Ismail, M. Nurdin, and L. Kusumah, “Improvement of Magazine Production Quality Using Six Sigma Method : Case Study of a PT . XYZ,” J. Appl. Res. Ind. Eng., vol. 6, no. 1, pp. 71–79, 2019, doi: 10.22105/jarie.2019.159327.1066.
