Analisis Masalah Kualitas pada M/C Crank Shaft M2 dengan Menggunakan Tool Capability Process di PT XYZ, Pegangsaan Dua, Jakarta

Gidion Karo Karo, Jessie Deborah R. Makapedua

Abstract


Process Capability is a tool that is often used in the process of quality improvement, especially for process improvement. This study uses a process capability analysis on crank shaft production line 2 for motorcycles. By using normality test data and process capability indices for calculation of Cp/Cpk, shows that most of the data obtained are not normally distributed, so need to transform the data into normal, which can then be followed by the calculation of process capability. For the calculation of Cp/Cpk, it was found that there were some machines that still need to get tight control to meet the specification. It shows that mass production is still less stable. In order to meet the specifications, it is necessary to improve the quality of the repair process to reduce the variation in the process.

Keywords: Process Capability, Quality Control, Process Improvement


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References


Chase, R., Aquilano, N., Jacobs, F. 2004. Operation Management for Competitive Advantage. New York: The McGraw-Hill Companies, Inc.

Garvin, David A. 1988. Managing Quality: The Strategic and Competitive Edge. New York: Free Press.

Hakim, Dimas R. 2014. Section Manual Book Machining Crank Shaft K15 Edisi I. Jakarta: PT. XYZ

Kane, Victor E. 1986. Process Capability Indices Vol. 18 No.1. Livonia: Journal of Quality Technology.

Mitra, Amitava. 1993. Fundamentals of Quality Control and Improvement. Auburn: Macmillan Publishing Company.

Montgomery, Douglas. 2009.Introduction to Statistical Quality Control 6th Edition. New York: John Wiley & Sons, Inc.

Prasetyowati, Retno. 2015. Analisis Kapabilitas Proses Part Holder Cam Shaft dan Pin Dowel dalam Upaya Mengidentifikasi Kegagalan Fungsi Cylinder Head Tipe M150 di PT. RDI. Jakarta: PT RDI.

Sagbas, Aysun. 2008. Improving the Process Capability of a Turning Operation by the Application ofStatistical Techniques. Turkey: Mersin University.




DOI: http://dx.doi.org/10.30813/jiems.v9i2.45

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