Enhancing product quality of a process

Ciflikli C., Kahya-Ozyirmidokuz E.

INDUSTRIAL MANAGEMENT & DATA SYSTEMS, cilt.112, ss.1181-1200, 2012 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 112
  • Basım Tarihi: 2012
  • Doi Numarası: 10.1108/02635571211264618
  • Dergi Adı: INDUSTRIAL MANAGEMENT & DATA SYSTEMS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1181-1200
  • Anahtar Kelimeler: Data mining, Decision trees, Rough sets, Quality control, Productivity rate, MANUFACTURING DATA, KNOWLEDGE, ALGORITHM
  • Kayseri Üniversitesi Adresli: Hayır

Özet

Purpose - Data mining (DM) is used to improve the performance of manufacturing quality control activity, and reduces productivity loss. The purpose of this paper is to discover useful hidden patterns from fabric data to reduce the amount of defective goods and increase overall quality.