Demand forecasting for apparel manufacturers by using neuro fuzzy techniques

AKSOY A., ÖZTÜRK N.

Journal of Modelling in Management, cilt.9, sa.1, ss.18-35, 2014 (ESCI) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 9 Sayı: 1
  • Basım Tarihi: 2014
  • Doi Numarası: 10.1108/jm2-10-2011-0045
  • Dergi Adı: Journal of Modelling in Management
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus
  • Sayfa Sayıları: ss.18-35
  • Anahtar Kelimeler: Decision making, Forecasting, SUPPLY CHAIN, SYSTEM, NETWORK, DECISION, INTEGRATION, MANAGEMENT, PRODUCTS, IMPACT
  • Bursa Uludağ Üniversitesi Adresli: Evet

Özet

Purpose - According to literature research and conversations with apparel manufacturers' specialists, there is not any common analytic method for demand forecasting in apparel industry and to the authors' knowledge, there is not adequate number of study in literature to forecast the demand with adaptive network-based fuzzy inference system (ANFIS) for apparel manufacturers. The purpose of this paper is constructing an effective demand forecasting system for apparel manufacturers.