• DocumentCode
    637077
  • Title

    Using multivariate statistics to analyze body characteristic index for garment supply chain an industrial application

  • Author

    Chih-Hung Hsu ; Liao Ying-Zhou

  • Author_Institution
    Inst. of Lean Production Manage., Hsiuping Univ. of Sci. & Technol., Taichung, Taiwan
  • fYear
    2013
  • fDate
    28-30 July 2013
  • Firstpage
    211
  • Lastpage
    214
  • Abstract
    Garment production standards are essential to successfully designing and sizing clothing for garment production. Numerous approaches utilize approximate range of the girth difference to determine body types for developing garment production standards, but these body types could not be accurately classified. Moreover, few studies have applied the improvement girth difference model to body typing for the garment industry. Accordingly, this study attempts to identify body types using the improvement girth difference model as obtained from anthropometric data for garment production standards development. The proposed approach can reflect fine distinctions between figures. Body types and their distributions will have precisely identify and use in developing garment production standards. Furthermore, new garment production standards forecast production numbers and the proportion of sizes to be produced, leading to accurate production planning and material control. Unnecessary inventory costs and production waste resulting from sizing mismatches between finished garments and consumers thus can be minimized.
  • Keywords
    clothing industry; cost accounting; inventory management; production engineering computing; production planning; statistical analysis; supply chain management; waste handling; body characteristic index; garment production standards; garment supply chain; industrial application; inventory costs; multivariate statistics; production planning; production waste; Clothing; Educational institutions; Hip; Production; Sociology; Standards; Statistics; anthropometry; body characteristic index; multivariate statistics; supply chain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Operations and Logistics, and Informatics (SOLI), 2013 IEEE International Conference on
  • Conference_Location
    Dongguan
  • Print_ISBN
    978-1-4799-0529-4
  • Type

    conf

  • DOI
    10.1109/SOLI.2013.6611411
  • Filename
    6611411