Fault Detection in Manufacturing Companies with Ensemble Machine Learning
Method

BORAN, Semra; DEMIRCIOGLU DIREN, DENIZ

doi:10.20491/isarder.2021.1352

Fault Detection in Manufacturing Companies with Ensemble Machine Learning Method

Deniz DEMIRCIOGLU DIREN, (Sakarya Üniversitesi, Uzaktan Eğitim Araştırma ve Uygulama Merkezi, Sakarya, Türkiye)

Semra BORAN (Sakarya Üniversitesi, Endüstri Mühendisliği Bölümü, Sakarya, Türkiye)

İşletme Araştırmaları Dergisi

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Yıl: 2021 Cilt: 13 Sayı: 4 Sayfa Aralığı: 3728 - 3741 Metin Dili: İngilizce DOI: 10.20491/isarder.2021.1352 İndeks Tarihi: 02-06-2022

Fault Detection in Manufacturing Companies with Ensemble Machine Learning Method

Öz:

Purpose – Multivariate control charts cannot be indicative of which variable is the cause of the out-ofcontrol signal. To keep the process under control, the cause of the out-of-control signal must be determined correctly. The study, it is aimed to predict the variable that causes the out-of-control with the highest accuracy when there is 2 sigma and 3 sigma shift from the mean. Design/methodology/approach – The method used in the study is machine learning-based detection analysis. The data set was taken from a company that produces furniture connecting part. Sample values were collected from the enterprise. Then the under-control samples were detected from these. According to these samples' mean and standard deviation values, data was produced in such a way that 2 sigma and 3 sigma shifts occur from the mean for training the machine learning algorithms. To predict the out-of-control samples three individual machine learning algorithms and three ensemble methods (Bagging, Boosting and Stacking) were used. In addition, 3 stacking models were developed using combinations of the individual algorithms. Findings – When the results are examined, higher accuracy has been reached by using a model developed with the stacking method than individual algorithms. The highest accuracy rates have been achieved as 69.00% for 2 sigma and 85.75% for 3 sigma shift with the stacking 3 models developed based on the stacking method. Discussion – The issue of detecting out-of-control signals in the quality processes in manufacturing companies with the least error was examined and the results were discussed.

Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık

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APA	DEMIRCIOGLU DIREN D, BORAN S (2021). Fault Detection in Manufacturing Companies with Ensemble Machine Learning Method. , 3728 - 3741. 10.20491/isarder.2021.1352
Chicago	DEMIRCIOGLU DIREN DENIZ,BORAN Semra Fault Detection in Manufacturing Companies with Ensemble Machine Learning Method. (2021): 3728 - 3741. 10.20491/isarder.2021.1352
MLA	DEMIRCIOGLU DIREN DENIZ,BORAN Semra Fault Detection in Manufacturing Companies with Ensemble Machine Learning Method. , 2021, ss.3728 - 3741. 10.20491/isarder.2021.1352
AMA	DEMIRCIOGLU DIREN D,BORAN S Fault Detection in Manufacturing Companies with Ensemble Machine Learning Method. . 2021; 3728 - 3741. 10.20491/isarder.2021.1352
Vancouver	DEMIRCIOGLU DIREN D,BORAN S Fault Detection in Manufacturing Companies with Ensemble Machine Learning Method. . 2021; 3728 - 3741. 10.20491/isarder.2021.1352
IEEE	DEMIRCIOGLU DIREN D,BORAN S "Fault Detection in Manufacturing Companies with Ensemble Machine Learning Method." , ss.3728 - 3741, 2021. 10.20491/isarder.2021.1352
ISNAD	DEMIRCIOGLU DIREN, DENIZ - BORAN, Semra. "Fault Detection in Manufacturing Companies with Ensemble Machine Learning Method". (2021), 3728-3741. https://doi.org/10.20491/isarder.2021.1352

APA	DEMIRCIOGLU DIREN D, BORAN S (2021). Fault Detection in Manufacturing Companies with Ensemble Machine Learning Method. İşletme Araştırmaları Dergisi, 13(4), 3728 - 3741. 10.20491/isarder.2021.1352
Chicago	DEMIRCIOGLU DIREN DENIZ,BORAN Semra Fault Detection in Manufacturing Companies with Ensemble Machine Learning Method. İşletme Araştırmaları Dergisi 13, no.4 (2021): 3728 - 3741. 10.20491/isarder.2021.1352
MLA	DEMIRCIOGLU DIREN DENIZ,BORAN Semra Fault Detection in Manufacturing Companies with Ensemble Machine Learning Method. İşletme Araştırmaları Dergisi, vol.13, no.4, 2021, ss.3728 - 3741. 10.20491/isarder.2021.1352
AMA	DEMIRCIOGLU DIREN D,BORAN S Fault Detection in Manufacturing Companies with Ensemble Machine Learning Method. İşletme Araştırmaları Dergisi. 2021; 13(4): 3728 - 3741. 10.20491/isarder.2021.1352
Vancouver	DEMIRCIOGLU DIREN D,BORAN S Fault Detection in Manufacturing Companies with Ensemble Machine Learning Method. İşletme Araştırmaları Dergisi. 2021; 13(4): 3728 - 3741. 10.20491/isarder.2021.1352
IEEE	DEMIRCIOGLU DIREN D,BORAN S "Fault Detection in Manufacturing Companies with Ensemble Machine Learning Method." İşletme Araştırmaları Dergisi, 13, ss.3728 - 3741, 2021. 10.20491/isarder.2021.1352
ISNAD	DEMIRCIOGLU DIREN, DENIZ - BORAN, Semra. "Fault Detection in Manufacturing Companies with Ensemble Machine Learning Method". İşletme Araştırmaları Dergisi 13/4 (2021), 3728-3741. https://doi.org/10.20491/isarder.2021.1352