Data Mining Approach in Repair and Service Systems of Electronic Products Under Warranty
Küçük Resim Yok
Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer Science and Business Media Deutschland GmbH
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The use and management of technology have an important role in increasing efficiency in the service sector. Especially in the electronics sector, which has a dynamic rate of change, technological support of service activities and big data have shown to enhance operational and tactical decision-making processes. In this way, efficiency can be increased by making faster and more accurate decisions in the organization. In this study, the researches covered technical service for the TV repairs in the electronics sector of Turkey by analyzing incoming data to create models and data mining techniques. This work is the only study in the literature aimed at contributing to operational processes by evaluating the only type of product in the electronic repair service sector using data mining methods relative to the type of repair. The results of the research are suggested to increase service efficiency and customer satisfaction from the feedback on sales and production processes with the proposed changes based on repair service information. © 2022, Springer Nature Switzerland AG.
Açıklama
Anahtar Kelimeler
Clustering, Data mining, Electronic product, Repair service systems
Kaynak
Studies in Big Data
WoS Q Değeri
Scopus Q Değeri
Q4
Cilt
98
