Analisis Upaya Penurunan Welding Rejection Rate pada PT XYZ dengan Menggunakan Pendekatan Six Sigma (Studi Kasus: Proyek MP021– Jembatan Rangka B60)
Bibliographic record
Abstract
Perusahaan dikatakan berkualitas apabila memiliki sistem produksi yang baik dengan proses yang terkendali. Kualitas suatu produk salah satunya ditentukan oleh tingkat mutu proses pengelasan, karena pengelasan merupakan salah satu tolok ukur untuk mengukur kekuatan suatu produk. Penelitian ini bertujuan untuk menurunkan tingkat kegagalan pada proses pengelasan melalui pendekatan six sigma dengan metode DMAIC ( define, measure, analysis, improve, dan control ). Pada penelitian ini difokuskan terhadap jenis cacat undersized welding yang memiliki DPMO ( defect per million opportunities ) tertinggi yaitu 4.423 dan nilai sigma terendah yaitu 4,12. Kemudian penyebab undersized welding dianalisis dengan menggunakan analisis 5 why’s, analisis cause and effect diagram, dan FMEA ( failure mode effect analysis ). Dari hasil analisis FMEA diambil penyebab utama dengan lima nilai RPN tertinggi berdasarkan prioritas yang terdiri atas kurangnya penerapan disiplin pada welder , welder kurang merasa termotivasi, ampere atau tegangan logam terlalu tinggi, welder terburu–buru pada saat mengelas, dan temperatur yang digunakan terlalu rendah. Kemudian hasil analisis FMEA dijadikan landasan dalam membuat action plan for failure mode yang terdiri atas melakukan pengecekan standar sebelum pengelasan dimulai dan melakukan peningkatan kualitas pada pelatihan berkala pada welder . Kata kunci: Pengendalian Kualitas, Six Sigma, CTQ, DMAIC, FMEA. Abstract A good quality company should fulfill the requirement of good production system with controlled process. The quality of a product is determined by the level of quality from its welding process, due to the weld quality which required to measure the strenthness of its product. This study aims to reduce the welding rejection rate through six sigma approach by using DMAIC (define, measure, analyze, improve, control) method. The analysis for this study focus on undersized welding defects which has the highest DPMO (defect per million opportunities) and lowest sigma level which is 4.12 among the other defects type. The root causes of undersized welding are being analyzed by 5 why’s analysis, analysis of cause and effect diagram, and FMEA (failure mode effect analysis). From the analysis of FMEA, the study conclude the root causes by taking the five highest RPN value based on the priorities which consist of lack of discipline, lack of motivation, the unstable speed of welding process, the temperature which are too low, too high amperage or voltage. These results of analysis are used as a basis to create the action plan for failure mode which consist of doing the rechecking before welding start based on welding specification and improving on regular training system for welder . Keywords: Quality Control, Six Sigma, CTQ, DMAIC, FMEA. Daftar Pustaka American Welding Society. (2008). Bridge Welding Code. Miami: American Welding Society. Anggono, J., & Kusuma, L. H. (1999). Studi Pengaruh Magnetic Arc Blow Pada Hasil Las TIG Baja AISI 1021. Jurnal Teknik Mesin, Fakultas Teknologi Industri, Universitas Kristen Petra , 63 - 73. Anggraini, D. A., & Putra, N. P. (2012). Implementasi Six Sigma untuk Mengurangi Cacar Las Jenis Porosity Pada Pengelasan Pipa Steam di Project NND Area 12 PT. CPI Duri Riau. Jurnal Teknik Industri Universitas Bung Hatta Vol. 1 No.1 , 13-24. Bass, I. (2007). Six Sigma Statistics with Excel and Minitab. New York: McGraw-Hill. Besterfield, D. (1994). Quality Control. United States of America: Prentice Hall. 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Retrieved Agustus 10, 2015, from Lifetime Reliability: http://www.lifetime-reliability.com/tutorials/lean-management-methods/How_to_Use_the_5-Whys_for_Root_Cause_Analysis.pdf Sower, V. E. (2011). Esentials of Quality. United States of America: Wiley. Umar, H. (2005). Metode Penelitian Untuk Skripsi dan Tesis Bisnis. Jakarta: PT. Raja Grafindo Persada. Wahyuni, W., Chobir, A., & Rahmanto, D. D. (2013). Penerapan Metode Six Sigma dengan Konsep DMAIC Sebagai Alat Pengendali Kualitas. Jurnal Institut Teknologi Adhi Tama Surabaya , 1-13. Webber, L., & Wallace, M. (2007). Quality Control for Dummies. Canada: Wiley Publishing, Inc. Zaenuddin, A., & Soemartono, Y. (2006). Analisis Pengaruh Penerapan ISO 9001:2000 Terhadap Peningkatan Kualitas Manajemen Perusahaan jasa Konstruksi. Semarang: Teknik Sipil Fakultas Teknik Universitas Diponegoro.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".