Quality Improvement Proposal of Spun Pile Using Six Sigma Method at PT. Adhi Persada Beton
- https://doi.org/10.2991/aer.k.211222.032How to use a DOI?
- DMAIC; apriori algorithm; FMEA; spun pile
PT. Adhi Persada Beton is a subsidiary of PT. Adhi Karya (persero) tbk, which produces precast concrete, including spun pile. There was a problem in spun pile production; the average percentage of spun pile defects was 0.71%, exceeding the company standard, which was 0.5%. Therefore, this research was conducted to analyze the defect and provide improvement proposals to reduce the defective products. Five dominant defects that occurred were fin, chipped, sticky skin, curved, and broken. Based on the Spun Pile production process analysis, the DPMO of 617, and sigma level value of 4.73. Based on these criteria, the improvement proposal will be evaluated. The apriori algorithm indicated two defects have a strong combination relationship; they are Curved and Sticky Skin. Another defect prioritized to solve is Fin, the second-highest RPN from FMEA analysis. The use of rust remover can make the improvement proposal given to overcome fin defects. The use of mold cleaning forms is to overcome sticky skin and curved caused by unhardened concrete using a Thermocouple on steaming tubs. This research can only be carried out until the improvement stage because the proposed improvements cannot be implemented due to the lockdown situation at the factory.
- © 2021 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article under the CC BY-NC license.
Cite this article
TY - CONF AU - Intan Arizka AU - Dorina Hetharia AU - Anik Nur Habyba PY - 2021 DA - 2021/12/23 TI - Quality Improvement Proposal of Spun Pile Using Six Sigma Method at PT. Adhi Persada Beton BT - Proceedings of the International Conference on Science and Engineering (ICSE-UIN-SUKA 2021) PB - Atlantis Press SP - 194 EP - 202 SN - 2352-5401 UR - https://doi.org/10.2991/aer.k.211222.032 DO - https://doi.org/10.2991/aer.k.211222.032 ID - Arizka2021 ER -