Journals / Endüstri Mühendisliği / 2002 / Cilt: 13 - Sayı: 4

Otokorelasyonlu verilerde istatistiksel kalite kontrol şemalarının hazırlanması

Pages
2–18
Publication Date
2022-10-18
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In this work, SPC-PI+ software is used to eliminate autocorrelation and Statistica software is used for control charting.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The matter of how to monitor an autocorrelated data has been discussed frequently in recent years.
📊
Key Findings & Data:In this article, problems arising in the application of control charts with autocorrelated data have been investigated.
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Conclusion & Impact:In this work, SPC-PI+ software is used to eliminate autocorrelation and Statistica software is used for control charting.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

The matter of how to monitor an autocorrelated data has been discussed frequently in recent years. In this article, problems arising in the application of control charts with autocorrelated data have been investigated. It has been ob-served that although the process is statistically in-control, false alarms might happen. Thus, for statistical process control to run "sound" and be less biased, the autocorrelation in data has to be removed. In this work, SPC-PI+ software is used to eliminate autocorrelation and Statistica software is used for control charting.

Özet

Otokorelasyonlu verilerin nasıl kontrol edileceği son yıllarda çok sık tartışılmıştır. Bu çalışmada Otokorelasyonlu verilerin kontrol şemalarına uygulandığında ortaya çıkan sorunlar açıklanmıştır. Meydana gelen sorunların en önemlisi proses kontrol altında olmasına rağmen yanlış sinyalleri artırmasıdır. Otokorelasyonlu veriler kontrol şemalarında yanlış sinyallere neden olmaması için öncelikle otokorelasyonun ortadan kaldırılması gerekmektedir. Bu çalışmada, otokorelasyonun kaldırılması için SPC-PI+ paket programı, kontrol şemalarının hazırlanmasında Statistica paket programı kullanılmıştır.

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Cite This Article

YILDIRIM, F., KARTAL, İ. (2022). Otokorelasyonlu verilerde istatistiksel kalite kontrol şemalarının hazırlanması. Endüstri Mühendisliği, Cilt: 13 - Sayı: 4, 2–18. https://ajindex.com/articles/501269

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