Content Analysis about Usage of R Programming Language in Quality Control Charts

Year 2019, Volume: 13 Issue: 19, 1390 - 1429, 30.09.2019

Kenan Orçanlı

https://doi.org/10.26466/opus.589423

Abstract

Although there are various methods that help
improve quality in statistical process control, quality control charts are
considered to be the most important methods available. The superiority of these
charts compared to other methods is that they are easy to use, to design and
visually understandable. Observations related to the quality characteristics
determined in the quality control charts are generally followed by the creation
of package programs such as SPSS, MINITAB, STATA or programming languages such
as MATLAB, C++. Recently, however, it has been determined that the use of R
programs in the creation of quality control charts, the detection of
uncontrolled signals in these charts, in the diagnosis of errors and similar
areas is rapidly becoming widespread and a lot of studies are conducted in
foreign literature. In this context, it was aimed to make a research about the
use of R program in quality control charts. In this way, it is considered that
this study will contribute to the quality control employees and the domestic
and foreign literature. In this study, four books and thirty-six articles were
examined according to content analysis method according to seven criteria. As a
result of the study; (1) in the books and articles examined in relation to the
use of the R program in control charts, theoretical issues are emphasized,
applied issues are in the minority, (2) most of the R packages used in the
design of quality control charts is qcc package (3) mainly used control graphs
are multivariate control graphs in theory development and applications, and
most commonly used control charts were Hotelling T², MCUSUM and MEWMA control
charts, and (4) control charts were measured using ARL. (5) mainly used
artificial data in applications with control charts, (6) Monte Carlo simulation
method is preferred in simulation studies, (7) it is concluded that a wide
variety of control charts suggested for various situations are included in the
literature.

Keywords

R Programming Language, Control Charts, Quality Control

Kalite Kontrol Grafiklerinde R Programlama Dilinin Kullanımı İle İlgili İçerik Analizi

Abstract

İstatistiksel süreç
kontrolünde kalite iyileştirmeye yardımcı olan çeşitli yöntemler bulunmasına
rağmen, kalite kontrol grafikleri mevcut yöntemlerin en önemlisi olarak kabul
edilir. Bu grafiklerin diğer yöntemlere göre üstün tarafları tasarlanmasının,
kullanımının ve görsel olarak anlaşılmasının kolay olmasıdır. Kalite kontrol
grafiklerinde belirlenen kalite karakteristikleri ile ilgili gözlemler,
genellikle SPSS, MINITAB, STATA gibi hazır paket programlarında ya da MATLAB,
C++ gibi programlama dilleri ile oluşturulan grafiklerde takip edilmektedir.
Ancak son zamanlarda R programlama dilinin de kalite kontrol grafiklerinin
oluşturulmasında, kontrol dışı sinyallerin tespiti ile hata teşhisinde ve
benzeri alanlarda kullanımının hızla yaygınlaştığı ve yabancı literatürde
oldukça fazla çalışmanın yapıldığı tespit edilmiştir. Bu kapsamda, R programlama
dilinin kalite kontrol grafiklerinde kullanımı ile ilgili olarak içerik analizi
yöntemi kullanılarak bir araştırma yapılmasına ihtiyaç duyulmuştur. Bu amaçla
yapılan çalışmanın, kalite kontrolünde çalışanlar ile yerli ve yabancı
literatüre katkı sağlayacağı değerlendirilmektedir. Yapılan çalışmada; dört
adet kitap ve 36 adet makale, içerik analizi yöntemi kapsamında yedi ölçüte
göre oluşturulan araştırma ölçeğine uygun olarak incelenmiştir. Çalışmanın
sonucunda; (1) R programlama dilinin kontrol grafiklerinde kullanımı ile ilgili
olarak incelenen kitaplarda ve makalelerde teorik konulara ağırlık verildiği,
uygulamalı konuların azınlıkta olduğu, (2) kalite kontrol grafiklerinin dizayn
edilmesinde en çok R paketlerinden “qcc” paketinin kullanıldığı, ancak diğer
paketlerden de ihtiyaç duyulan fonksiyonların kullanıldığı, (3) yapılan
uygulamalar ile teori geliştirmede ağırlıklı olarak çok değişkenli kontrol
grafiklerinin kullanıldığı ve kullanılan kontrol grafiklerinden ise en çok  Hotelling T², MCUSUM ve MEWMA kontrol
grafikleri ile uygulamaların yapıldığı, (4) kontrol grafiklerinin
performansının ölçülmesinde ve performanslarının karşılaştırılmasında ARL
değerlerinin kullanıldığı, (5) kontrol grafikleri ile yapılan uygulamalarda
ağırlıklı olarak yapay verilerin kullanıldığı, (6) simülasyon çalışmalarında
Monte Carlo simülasyon yönteminin tercih edidiği ve (7) çeşitli durumlar için önerilen çok çeşitli kontrol grafiğinin literetürde
yer aldığı sonuucuna ulaşılmıştır. 

Keywords

R Programlama Dili, Kontrol Grafikleri, Kalite Kontrolü

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