• DocumentCode
    3381337
  • Title

    Application of fuzzy concept in the apparel industry

  • Author

    Wong, W.K. ; Chan, C.K. ; Ip, W.H.

  • Author_Institution
    Inst. of Textiles & Clothing, Hong Kong Polytech. Univ., China
  • fYear
    2001
  • fDate
    25-28 July 2001
  • Firstpage
    2547
  • Abstract
    A fuzzy line-balancing (FLB) model is proposed to handle the line-balancing problem of fabric spreading and cutting operations of the apparel manufacturing process. The level of work-in-progress on each spreading table is reviewed with a planned target at a pre-defined time which gives fuzzy input variables to the fuzzy model. The schedule generated by the spreading-and-cutting sequencing model using a genetic algorithm was compared with that of the FLB model under a dynamic manufacturing environment. The results indicated that the proposed model could assist production management in solving the line-balancing problem in the dynamic manufacturing environment of the apparel industry
  • Keywords
    cutting; fuzzy control; genetic algorithms; production control; scheduling; textile industry; apparel industry; apparel manufacturing process; dynamic manufacturing environment; fabric cutting operations; fabric spreading operations; fuzzy input variables; fuzzy line-balancing model; genetic algorithm; production management; scheduling; sequencing model; spreading table; work-in-progress level; Clothing; Fabrics; Fuzzy systems; Genetic algorithms; Input variables; Manufacturing industries; Manufacturing processes; Production planning; Textiles; Virtual manufacturing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-7078-3
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2001.943623
  • Filename
    943623