PENGENDAIAN MULTIVARIATE DENGAN DIGRAM KONTROL MEWMA ENGGUNAKAN METODE SIX SIGMA  (STUDI KASUS PT FUMIRA SEMARANG TAHUN 2019)

Puspita Ayu Utami; Mustafid Mustafid; Tatik Widiharih

doi:10.14710/j.gauss.9.1.98-111

DOI: https://doi.org/10.14710/j.gauss.9.1.98-111

PENGENDAIAN MULTIVARIATE DENGAN DIGRAM KONTROL MEWMA ENGGUNAKAN METODE SIX SIGMA (STUDI KASUS PT FUMIRA SEMARANG TAHUN 2019)

*Puspita Ayu Utami - Departemen Statistika, Fakultas Sains dan Matematika, Universitas Diponegoro, Indonesia

Mustafid Mustafid - Departemen Statistika, Fakultas Sains dan Matematika, Universitas Diponegoro, Indonesia

Tatik Widiharih - Departemen Statistika, Fakultas Sains dan Matematika, Universitas Diponegoro, Indonesia

BibTex Citation Data :

@article{J.Gauss27527,
    author = {Puspita Utami and Mustafid Mustafid and Tatik Widiharih},
    title = {PENGENDAIAN MULTIVARIATE DENGAN DIGRAM KONTROL MEWMA ENGGUNAKAN METODE SIX SIGMA  (STUDI KASUS PT FUMIRA SEMARANG TAHUN 2019)},
    journal = {Jurnal  Gaussian},
  volume = {9},
    number = {1},
    year = {2020},
    keywords = {Galvanized Steel; Quality Control; Six Sigma; Multivariate Exponentially Weighted Moving Average; Process Capability Analysis},
    abstract = { As one of the biggest corrugation producing industries, PT Fumira Semarang is always required to fulfill customer needs by continuously improving their quality. Galvanized Steel is the raw material for the production of corrugation at PT Fumira Semarang. There are three important quality characteristics to be controlled in order that the results of galvanized steel production fit the standards to be manufactured as corrugation are waves, rust, and scratches. Six Sigma is a method for controlling quality. Six Sigma has focus on reducing defects, by standard 3,4 defects per one million opportunties. This research aims to identify the galvanized steel production process using Six Sigma method with MEWMA control chart and the capability of the process to fit the standards. Multivariate Exponentially Weighted Moving Average (MEWMA) control chart is a tool used to control multivariate process averages. The result of this research are MEWMA control chart with lambda 0.7 shows that the process is controlled statistically and The Sigma value for waves is 2,33, for rust 2,05, and for scratches 2,64. And the research reveals the galvanized steel production process has not fit to the standard because the process capabilty index is 0,2805.      Keywords:  Galvanized Steel ,  Quality Control, Six Sigma, Multivariate Exponentially Weighted Moving Average ,  Process Capability Analysis },
   issn = {2339-2541},   pages = {98--111}  doi = {10.14710/j.gauss.9.1.98-111},
    url = {https://ejournal3.undip.ac.id/index.php/gaussian/article/view/27527}
}

Citation Format:

Abstract

As one of the biggest corrugation producing industries, PT Fumira Semarang is always required to fulfill customer needs by continuously improving their quality. Galvanized Steel is the raw material for the production of corrugation at PT Fumira Semarang. There are three important quality characteristics to be controlled in order that the results of galvanized steel production fit the standards to be manufactured as corrugation are waves, rust, and scratches. Six Sigma is a method for controlling quality. Six Sigma has focus on reducing defects, by standard 3,4 defects per one million opportunties. This research aims to identify the galvanized steel production process using Six Sigma method with MEWMA control chart and the capability of the process to fit the standards. Multivariate Exponentially Weighted Moving Average (MEWMA) control chart is a tool used to control multivariate process averages. The result of this research are MEWMA control chart with lambda 0.7 shows that the process is controlled statistically and The Sigma value for waves is 2,33, for rust 2,05, and for scratches 2,64. And the research reveals the galvanized steel production process has not fit to the standard because the process capabilty index is 0,2805.

Keywords: Galvanized Steel, Quality Control, Six Sigma, Multivariate Exponentially Weighted Moving Average, Process Capability Analysis

Fulltext View|Download

Keywords: Galvanized Steel; Quality Control; Six Sigma; Multivariate Exponentially Weighted Moving Average; Process Capability Analysis

Article Metrics:

Article Info

Section: Articles

Language : ID

In Vol 9, No 1 (2020): Jurnal Gaussian

Recent articles

IMPLEMENTASI JARINGAN SYARAF TIRUAN BACKPROPAGATION DENGAN ALGORITMA CONJUGATE GRADIENT UNTUK KLASIFIKASI KONDISI RUMAH (Studi Kasus di Kabupaten Cilacap Tahun 2018) PENERAPAN IMPROVED GENERALIZED VARIANCE PADA PENGENDALIAN KUALITAS PAVING BLOCK SEGIENAM PERBANDINGAN METODE NAÏVE BAYES DAN BAYESIAN REGULARIZATION NEURAL NETWORK (BRNN) UNTUK KLASIFIKASI SINYAL PALSU PADA INDIKATOR STOCHASTIC OSCILLATOR (Studi Kasus: Saham PT Bank Rakyat Indonesia (Persero) Tbk Periode Januari 2017 – Agustus 2019) More recent articles

Assauri, S. 2010. Manajemen Pemasaran. Jakarta: Raja Grafindo Persada
Evans, J. R., & Lindsay, W. M. 2007. Pengantar Six Sigma: An Intoduction to Six Sigma & Process Improvement. Diterjemahkan oleh: Afia R. Fitriati. Jakarta: Salemba Empat
Fumira. 2010. Material and Process. http://www.fumira.co.id/fumira/index. php?option=com_content&view=article&id=104&Itemid=97. Diakses : 7 Juni 2019
Gaspersz, V. 2002. Pedman Implementasi Program Six Sigma Terintegrasi Degan ISO 9001:2000, MBNQA, dan HACCP. Jakarta: PT Gramedia Pustaka Utama
George, M. L. 2002. Lean Six Sigma: Combining Six Sigma Quality with Lean Production Speed. New York: McGraw-Hill
Haryatmi, S., & Guritno, S. 2008. Metode Statistika Multivariat. Jakarta: Universitas Terbuka
Johnson, R., & Wichern, D. 2007. Applied Multivariate Statistical Analysis 6th Edition . United States of America: Pearson Education
Diterjemahkan oleh: Bob Sabran. Jakarta: Erlangga
Montgomery, D. C. 2009. Introduction to Statistical Quality Control 6th Edition. United States of America: John & Wiley Sons, Inc
Morrison, D. 1990. Multivariate Statistical Methods 3th Edition . New York: Mc Graw Hill Publishing Company
Mustafid. 2017. Statistika Dalam Proyek Six Sigma. Semarang: UNDIP Press
Raissi, S. 2009. Multivariate Process Capability Indices On The Presence Of Priority For Quality Characteristics. Journal of Industrial Engineering International, Vol. 5, No. 9, 27-36

Last update:

No citation recorded.

Last update:

No citation recorded.

The Authors submitting a manuscript do so on the understanding that if accepted for publication, copyright of the article shall be assigned to Media Statistika journal and Department of Statistics, Universitas Diponegoro as the publisher of the journal. Copyright encompasses the rights to reproduce and deliver the article in all form and media, including reprints, photographs, microfilms, and any other similar reproductions, as well as translations.

Jurnal Gaussian and Department of Statistics, Universitas Diponegoro and the Editors make every effort to ensure that no wrong or misleading data, opinions or statements be published in the journal. In any way, the contents of the articles and advertisements published in Jurnal Gaussian journal are the sole and exclusive responsibility of their respective authors and advertisers.

The Copyright Transfer Form can be downloaded here: [Copyright Transfer Form Jurnal Gaussian]. The copyright form should be signed originally and send to the Editorial Office in the form of original mail, scanned document or fax :

Dr. Rukun Santoso (Editor-in-Chief)
Editorial Office of Jurnal Gaussian
Department of Statistics, Universitas Diponegoro
Jl. Prof. Soedarto, Kampus Undip Tembalang, Semarang, Central Java, Indonesia 50275
Telp./Fax: +62-24-7474754
Email: jurnalgaussian@gmail.com