Total Quality Management Through Defect Detection in Manufacturing Processes Using Machine Learning Algorithms

  • Almira S. KahyaEmail author
  • Selin Şişmanoğlu
  • Zeynep Erçin
  • Hatice Camgöz Akdağ
Conference paper
Part of the Lecture Notes in Mechanical Engineering book series (LNME)


Total Quality Management is the new raising value of all industries. The more it is revealed that TQM is one of the key success factors for the companies, the more it is being absorbed by the industries. This study aims to analyze TQM approaches considering its history and development worldwide while observing manufacturing industry with machine learning applications in order to identify the defects in the process before completed which contributes continuous improvement to the system. Also, different descriptions of quality according to the customer satisfaction will be examined.


Total Quality Management Quality Manufacturing Customer satisfaction Machine learning applications Continuous improvement Problem solving Defect detection 


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Almira S. Kahya
    • 1
    Email author
  • Selin Şişmanoğlu
    • 1
  • Zeynep Erçin
    • 1
  • Hatice Camgöz Akdağ
    • 1
  1. 1.Management Engineering DepartmentIstanbul Technical UniversityIstanbulTurkey

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