Using artificial neural networks to improve decision making in apparel supply chain systems
Journal
Information Systems for the Fashion and Apparel Industry
Pages
97-107
ISBN
9780081005804; 9780081005712
Date Issued
2016
Author(s)
Hui P.C.L.
Abstract
With the advance of information technology, artificial neural networks (ANNs) are now a ready-to-use technology for all kinds of industries. In this paper, we examine how ANNs can be used to improve decision making in apparel supply chain systems. We focus on four major application areas, namely the data mining of customer's buying preferences, sales forecasting, inventory level prediction, and optimization of marker planning in apparel production. Limitations of ANNs and the future research directions on using ANNs for apparel supply chain management are discussed. ? 2016 Elsevier Ltd All rights reserved.
Subjects
ANN; Artificial neural networks; Decision making; Intelligent systems
Other Subjects
Chains; Data mining; Intelligent systems; Inventory control; Neural networks; Sales; Supply chain management; Apparel supply chains; Application area; Future research directions; Inventory levels; Ready to use; Sales forecasting; Decision making
Publisher
Elsevier Inc.
Type
book part