Perbandingan Peta Kendali Poisson Double Progressive Mean dan Peta Kendali u pada Produksi Roti di Pakbatteang Mandiri
DOI:
https://doi.org/10.20956/ejsa.v7i1.35636Keywords:
u Control Chart, Control chart, Poisson Double Progressive Mean Control chart, Out of Control, ARLAbstract
Pakbatteang Mandiri is a company that operates in the food industry by producing bread, but the bread production process shows that there are defects in the product so a control chart is needed to monitor the number of production defects. Control charts that are suitable for use for calculated data such as the number of production defects are control charts based on the Poisson distribution such as the u control chart and the Poisson Double Progressive Mean control chart. This research aims to obtain a comparison of the Poisson Double Progressive Mean control chart and the u control chart for bread production in Pakbatteang Mandiri. The results of this research show that the Poisson Double Progressive Mean control chart detects more observation points that are out of control when compared to the u control chart. Based on the relatively small ARL value, the performance of the Poisson Double Progressive Mean control chart is more sensitive in detecting out of control than the u control chart.
References
Hidayat, R. Analisis Peta Kendali p menggunakan pendekatan Bayesian, Skripsi, Departemen Matematika, Fakultas MIPA, Universitas Sumatera Utara, Medan, 2016.
Montgomery, D. C. Introduction to Statistical Quality Control, 6th ed. United States of America: John Wiley & Sons, 2009.
Mitra, A. Fundamentals of Quality Control and Improvement, 3rd ed. Alabama: Auburn, 2008.
Cawley, J., & Harold, D. SPC and SQC Provide the Big Picture About Processing Performance. Control Engineering, 46(5), p. 140, 1999.
Pricilia, R. A., dkk. Perbandingan Diagram Kontrol X Shewhart dan X VSSI (Variable Sample Size and Sampling Interval) dalam Pengendalian Kualitas Produksi Pipa Besi PT. Pacific Angkasa Abadi. Jurnal Sains dan Seni ITS, 6(1), pp. A6-A11, 2017.
Montgomery, D. C. Introduction to Statistical Quality Control, 7th ed. John Wiley & Sons, Inc., 2013.
Hansen, D. R., & Mowen, M. M. Manajemen Biaya, Buku II. Jakarta: Penerbit Salemba Empat, 2001.
Rahmayani, N., dkk. Analisis Pengendalian Kualitas Produksi Menggunakan Peta Kendali U dan Diagram Kontrol Decision On Belief (DOB) (Studi Kasus: Produksi Percetakan Spanduk Lineza Digital Printing di Kota Samarinda pada Bulan Februari 2016 – September 2017). Jurnal Eksponensial, 10(1), 67-72, 2019.
Abbasi, S. A. Poisson progressive mean control chart. Quality and Reliability Engineering International, 33(8), 1855–1859, 2017.
Alevizakos, V., & Koukouvinos, C. A double progressive mean control chart for monitoring Poisson observations. Journal of Computational and Applied Mathematics, 2019.
Hasanah, A. N. F., & Zulaela. Grafik Pengendalian Poisson Progressive Mean. Skripsi, Departemen Statistika, Fakultas MIPA, Universitas Gadjah Mada, Yogyakarta, 2019.
Ramadlan, W. N., & Yanti, T. S. Diagram Kendali Poisson Progressive Mean Dalam Pengendalian Kualitas Kemasan Minyak Goreng di PT. XY. Bandung Conference Series, 3(2), 773-779, 2019.
Abbas, Z., Nazir, H. Z., Akhtar, N., Riaz, M., & Abid, M. An enhanced approach for the progressive mean control charts. Quality and Reliability Engineering International, 2018, doi: 10.1002/qre.2444.
Bain, L. J., & Engelhart, M. Introduction to Probability and Mathematical Statistics, 2nd ed. California: Duxbury Press, 1992.
Subanar. Statistika Matematika Probabilitas, Distribusi, dan Asimtotis dalam Statistika. Yogyakarta: Graha Ilmu, 2013.
Abbas, N., Zafar, R. F., Riaz, M., & Hussain, Z. Progressive mean control chart for monitoring process location parameter. Quality and Reliability Engineering International, 29(3), pp. 357–367, 2013
Downloads
Published
Issue
Section
License
Copyright
It is the author's responsibility to ensure that his or her submitted work does not infringe any existing copyright. Authors should obtain permission to reproduce or adapt copyrighted material and provide evidence of approval upon submitting the final version of a manuscript.
