Using artificial neural networks to improve decision making in apparel supply chain systems

P. C.L. Hui, Tsan Ming Choi

Research output: Chapter in book / Conference proceedingChapter in an edited book (as author)Academic researchpeer-review

9 Citations (Scopus)


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.
Original languageEnglish
Title of host publicationInformation Systems for the Fashion and Apparel Industry
PublisherElsevier Inc.
Number of pages11
ISBN (Electronic)9780081005804
ISBN (Print)9780081005712
Publication statusPublished - 8 Apr 2016


  • ANN
  • Artificial neural networks
  • Decision making
  • Intelligent systems

ASJC Scopus subject areas

  • Engineering(all)
  • Materials Science(all)

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