A decision support system for demand forecasting in the clothing industry


AKSOY A. , ÖZTÜRK N. , Sucky E.

INTERNATIONAL JOURNAL OF CLOTHING SCIENCE AND TECHNOLOGY, vol.24, no.4, pp.221-236, 2012 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 24 Issue: 4
  • Publication Date: 2012
  • Doi Number: 10.1108/09556221211232829
  • Title of Journal : INTERNATIONAL JOURNAL OF CLOTHING SCIENCE AND TECHNOLOGY
  • Page Numbers: pp.221-236
  • Keywords: Demand forecasting, Clothing manufacturer, Neuro-fuzzy techniques, Clothing, ARTIFICIAL NEURAL-NETWORKS, SUPPLY CHAIN, INTEGRATION, MANAGEMENT, IMPACT

Abstract

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.