Developing an apparel supply chain simulation system with the application of Fuzzy logic

A. H. Dong, Wai Keung Wong, S. F. Chan, P. K.W. Yeung

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

5 Citations (Scopus)


In this paper, a simulation model linking manufacturer, retailer and customer in an apparel supply chain is presented. The purpose of the model is to generate a portfolio that satisfies the apparel retailer-defined customer service level. The portfolio consists of replenishment strategy and performance index under different degrees of forecasting errors in sales. Fuzzy logic is integrated into the simulation model so as to investigate the different forecasting error degree between the sales forecasting and the customer demand in the apparel supply chain. Experimental results based on a case study are discussed and the simulation model is validated. The results show that the proposed apparel supply chain simulation model is an effective tool of investigating relationship between forecasting error, replenishment strategy and performance for apparel retailers and manufacturers.
Original languageEnglish
Title of host publicationComputational Textile
Number of pages15
Publication statusPublished - 16 May 2007

Publication series

NameStudies in Computational Intelligence
ISSN (Print)1860-949X

ASJC Scopus subject areas

  • Artificial Intelligence


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