Minimizing Defective Products of Motorcycle and Car Exhaust Products using Six Sigma Method in PT Berlindo Mitra Utama
Biancha Yusputri Aniendita1, Cindy Ladiesta Erientania2, Shavira Prita Nuraissa3, Teguh Sriwidadi4
1Biancha Yusputri Aniendita, Management Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta, Indonesia.
2Cindy Ladiesta Erientania, Management Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta, Indonesia.
3Shavira Prita Nuraissa , Management Department, BINUS Business School Undergraduate Program, Bina Nusantara University, J akarta, Indonesia.
4Teguh Sriwidadi* Sriwidadi*, Management Department, BINUS Online Learning , Bina Nusantara University, Jakarta, Indonesia.
Manuscript received on May 25, 2020. | Revised Manuscript received on June 29, 2020. | Manuscript published on July 30, 2020. | PP: 823-829 | Volume-9 Issue-2, July 2020. | Retrieval Number: D8836118419/2020©BEIESP | DOI: 10.35940/ijrte.D8836.079220
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The purpose of this study is to determine the level of sigma, find out what factors cause defects, and find out the right way to reduce defective products. The research methodology used is quantitative. The analysis used is the Six Sigma method. The results achieved from this research are the level of sigma produced in the motorcycle exhaust of 4.3 and in the car exhaust 4.46, the factors that cause defects are mold, material, human, method, engine, and the right way to reduce the defective product is to check the machine carefully before and after use. The conclusion obtained is to minimize defective products on motorcycle and car exhaust products at PT Berlindo Mitra Utama by using the Six Sigma method.
Keywords: Defective Products, Quality Control, Six Sigma.