A decision support system for demand forecasting in the clothing industry

AKSOY A., ÖZTÜRK N., Sucky E.

INTERNATIONAL JOURNAL OF CLOTHING SCIENCE AND TECHNOLOGY, cilt.24, sa.4, ss.221-236, 2012 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 24 Sayı: 4
  • Basım Tarihi: 2012
  • Doi Numarası: 10.1108/09556221211232829
  • Dergi Adı: INTERNATIONAL JOURNAL OF CLOTHING SCIENCE AND TECHNOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.221-236
  • Anahtar Kelimeler: Demand forecasting, Clothing manufacturer, Neuro-fuzzy techniques, Clothing, ARTIFICIAL NEURAL-NETWORKS, SUPPLY CHAIN, INTEGRATION, MANAGEMENT, IMPACT
  • Bursa Uludağ Üniversitesi Adresli: Evet

Özet

Purpose - Demand forecasting in the clothing industry is very complex due to the existence of a wide range of product references and the lack of historical sales data. To the authors' knowledge, there is an inadequate number of literature studies to forecast the demand with the adaptive network based fuzzy inference system for the clothing industry. The purpose of this paper is to construct a decision support system for demand forecasting in the clothing industry.