Defective products management in a furniture production company: A data mining approach
Küçük Resim Yok
Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Wiley
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Quality is one of the main focuses of the manufacturing companies. Therefore, this issue takes attention of many researchers from both academic and professional environment. In industries like furniture where company types are most likely workshop or small-medium enterprise and production method is traditional, effective methods to prevent faulty production must be considered. Traditional or statistical methods are good to track defective products and keep the within desired levels, however not as good to prevent them from occurring. These methods come with an acceptance to some level of defective production. In this study, it is aimed to evaluate the in the furniture production sector and to reveal the source of the defective production and the factors that cause the defect in terms of which department. In addition, finding the most appropriate methods to accurately analyze the data coming from the company is another research topic of this study. In the research, artificial neural networks and decision tree models were established and inferences were made from the data sets. The model established in the application revealed the causes of the problems experienced in the production process of the company, thus root cause of defective products can be found and prevented. By using data mining techniques, this study developed an effective approach to improve the quality of the production process and to predict and prevent errors before they occur. According to results of the study classification and regression tree algorithm outperformed other methods by yielding 90.12% correct prediction rate. 87.5% of the defects caused by cover and seat cushion problems account for defects in the textile department.
Açıklama
Anahtar Kelimeler
artificial neural networks, data mining, decision trees, defect detection, quality improvement
Kaynak
Applied Stochastic Models in Business and Industry
WoS Q Değeri
Q3
Scopus Q Değeri
Q2
Cilt
38
Sayı
5
