STUDI TENTANG PETA KENDALI p YANG DISTANDARISASI UNTUK PROSES PENDEK KUALITAS

Authors

  • Tanti Octavia Faculty of Industrial Tehnology, Petra Christian University
  • Lia Magdalena Prabudy Alumnus, Faculty of Industrial Tehnology, Petra Christian University
  • Daniel Indarto Prajogo Faculty of Industrial Tehnology, Petra Christian University

DOI:

https://doi.org/10.9744/jti.2.1.53-64

Keywords:

ARL0, ARL1, continuity correction

Abstract

Attribute control charts especially p charts have been used widely for statistical process of attribute characteristics. In many applications, however it is neither possible nor practical to obtain sufficient subgroups to estimate accurately the control limits for the conventional p chart. This may occur when the production process is characterized as being a short run. One short run situation is a production run which produces items in a short period of time. In this article we describe the standardized p chart that the beyond control limit probabilities of proposed chart are closer to 0.135% Abstract in Bahasa Indonesia : Peta kendali atribut khususnya peta kendali p banyak digunakan untuk mengendalikan proses yang berkarakteristik atribut. Pada penerapannya proses produksi yang membutuhkan waktu relatif pendek mengakibatkan subgrup yang diperoleh terbatas jumlahnya, sehingga peta kendali p yang terbentuk tak memungkinkan untuk dianalisa. Dalam artikel ini akan diulas sebuah standarisasi peta kendali p yang diusulkan dengan mempertimbangkan probabilitas data yang keluar dari batas kendali. Kata kunci: ARL0 , ARL1, koreksi kontinuitas

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Published

2004-07-02

How to Cite

[1]
T. Octavia, L. M. Prabudy, and D. I. Prajogo, “STUDI TENTANG PETA KENDALI p YANG DISTANDARISASI UNTUK PROSES PENDEK KUALITAS”, Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri, vol. 2, no. 1, pp. 53–64, Jul. 2004.

Issue

Vol. 2 No. 1 (2000): JUNE 2000

Section

Articles

License

Articles published in the Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri will be Open-Access articles distributed under the terms and conditions of the Creative Commons Attribution License (CC BY).


This work is licensed under a  Creative Commons Attribution License (CC BY).

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