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description Journal article public Jurnal Ilmiah Universitas Bakrie

Analisis Rejection Rate Proses Pengeboran di PT X dengan Menggunakan Metode Six Sigma (Studi Kasus Proyek MP 17 – Jembatan Rangka A50)

Muhammad Idrus Salam
Published Лютий 2016

Abstract

Penelitian ini membahas tentang analisis rejection rate pada proses pengeboran di PT X pada proyek MP 017 – Jembatan Rangka A50 dengan menggunakan metode Six Sigma. Objek penelitian ini adalah produk rework mesin bor radial dan magnet berupa produk yang jarak antar lubang produk melebihi batas toleransi 2 mm. Tujuan penelitian ini adalah mengetahui level sigma dari rejection rate proses pengeboran, mengetahui biaya kerugian akibat rework, menganalisis akar penyebab permasalahan dengan Analytical Hierarchy Process (AHP), mengukur tingkat risiko dari akar permasalahan dengan Failure Mode and Effect Analysis (FMEA) dan memberikan usulan perbaikan berdasarkan nilai risiko tertinggi yang diperoleh dari FMEA tersebut dengan menggunakan Action Planning for Failure Modes (APFM) Pada penelitian ini diperoleh hasil enam penyebab permasalahan mesin radial dan dua penyebab permasalahan mesin magnet yang menjadi akar masalah dari lima belas penyebab permasalahan yang ditemukan . Tingkat risiko dari akar penyebab permasalahan tersebut dari yang paling tinggi ke paling rendah adalah Edukasi kepada fitter dan helper kurang optimal, Mata bor tidak tajam, Pekerja tidak memahami prosedur kerja yang benar, Gambar revisi oleh departemen engineering, Kesalahan penyajian gambar oleh departemen engineering, Mesin tidak bekerja optimal, Kesalahan pada saat marking produk Kata Kunci: Pengeboran, Rejection Rate, Six Sigma, AHP, FMEA, APFM This study discusses the analysis rejection rate in the drilling process in PT X on the project MP 017 - Bridge Framework A50 by using Six Sigma. The object of this study is the product rework of radial drilling machines and the magnets in the form of products that the distance between holes of product exceeds the tolerance limit of 2 mm. The purposes of this study are to determine the sigma level of drilling rejection rate, knowing the cost of losses due to rework, analyze the root causes of the problems with Analytical Hierarchy Process (AHP), to measure the risk level of the root causes withf Failure Mode and Effect Analysis (FMEA) and propose improvements based on the highest risk value of FMEA obtained by using Action Planning for Failure Modes (APFM) The result of this study is obtained six causes of radial engine and two magnets engine problems become root of causes from fifteen causes of the problems found. The risk level of the root causes of these problems from the highest to the lowest is Education to the fitter and helper less than optimal, Drill bit is not sharp, Workers do not understand the proper working procedures, Figure revision by the department of engineering, Error presentation image by the department of engineering, the machine is not working optimally, errors at the time of marking products Keywords : Drilling, Rejection Rate, Six Sigma,AHP, FMEA, APFM Daftar PustakaKumar, S. and Sosnoski. (2009) M.. Reflective Practice Using DMAIC Six Sigma to systematically improve shop floor production quality and costs. International Journal of Productivity and Performance Management, 58 (3): 254-273. Taghizadegan , Salman.(2006). Essenstial of Lean six sigma. Burlington (USA) and Oxford(UK) :Elsevier. Gijoa, Scaria, J and Antony, J.(2011). Application of Six Sigma Methodology to Reduce Defects of a Grinding Process. Published (wileyonlinelibrary.com) DOI: 10.1002/qre.1212 online in Wiley Online Library Cornado, R.B. and Antony, J.(2002). Critical success factors for the successful implementation of Six Sigma project in organization. The TQM Magazine, 14 (2): 92-99 Tartilla, Rizky. (2015). Analisis Waste Elektroda Pada Jenis Pengelasan Smaw Dengan Pendekatan Lean Six Sigma Di PT Z. (Studi Kasus proyek X). Jakarta : Universitas Bakrie, 36. Muntaha, Hilman. (Februari, 2010). Retrieved January 14, 2016, from Materi Drilling : http://www.academia.edu/5874706/Materi-drilling Petkovic, Dario. (Oktober, 2013). Retrieved February 1, 2016, from Improving Business Processes using Lean Six Sigma methodologies : http://www.dariopetkovic.com/improving-business-processes-using-lean-six-sigma-methodologies/ Exa, Vebry. (2015, January). Retrieved January 19, 2016, from Kelebihan dan Kekurangan Analytic Hierarchy Process : http://vebryexa.com/kelebihan-dan-kekurangan-analytic-hierarchy-process-ahp.html Narayanasamy. Geethai. Retrieved Febrruary 1, 2016, from 10 Things You Should Know About Six Sigma : http://www.whatissixsigma.net/10-things-about-six-sigma/ Thomas, A., Barton, R. and Byard, P. (2013). Methodology and Theory Developing a Six Sigma Maintenance Model. Journal of Quality in Maintenance Engineering, 14 (3): 262-271. Saaty, T. L (1979).Applications of Analytical Hierarchies. Mathematics and Computers in Simulation, 21: 1-20,. Saaty, T. L.(1980). Multi-criteria Decision Making: The Analytic Hierarchy Process, New York : McGraw-Hill. Saaty, T.L.(1990). How to make a decision: The Analytic Hierarchy Process. European Journal of Operational Research, 48: 9-26,. Chin, K.S., Y.M. Wang, G.K.K. Poon and J.B. Yang, 2009. Failure mode and effects analysis using a group-based evidential reasoning approach. Computers & Operations Research, 36(6): 1768-79 Lipol, L.S., Haq, J. (2011). Risk Analysis Method: FMEA/FMECA in the Organizations. International Journal of Basic & Applied Sciences, 11, č. 5, s. 74-82. Umar, Husein. (2003). Riset Pemasaran dan Perilaku Konsumen. Jakarta: PT.Gramedia Pustaka Umum AIAG. (2008). Potential Failure Mode and Effects Analysis FMEA Reference Manual (4th edition). United States of America : General Motors Corp.DAFTAR PUSTAKA

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