Demand forecasting for apparel manufacturers by using neuro fuzzy techniques


AKSOY A., ÖZTÜRK N.

Journal of Modelling in Management, vol.9, no.1, pp.18-35, 2014 (ESCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 9 Issue: 1
  • Publication Date: 2014
  • Doi Number: 10.1108/jm2-10-2011-0045
  • Journal Name: Journal of Modelling in Management
  • Journal Indexes: Emerging Sources Citation Index (ESCI), Scopus
  • Page Numbers: pp.18-35
  • Keywords: Decision making, Forecasting, SUPPLY CHAIN, SYSTEM, NETWORK, DECISION, INTEGRATION, MANAGEMENT, PRODUCTS, IMPACT
  • Bursa Uludag University Affiliated: Yes

Abstract

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.