[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ Skip to main content
Springer Nature Link
Log in

Using decision tree-based data mining to establish a sizing system for the manufacture of garments

  • Original Article
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

While data mining has been widely used in many fields, little research has been done on its applications to sizing systems for the manufacturing of garments. The goal of this study was to establish systems for using a decision tree technique to determine the pants sizes of army soldiers. We first defined the subject and constructed a large anthropometric database. Second, we prepared and analyzed data, performed factor analyses, and then extracted important sizing variables. Third, we used the decision tree technique to mine data in an effort to identify and classify significant patterns in the body shapes of soldiers. The use of decision tree-based data mining to establish sizing systems is advantageous because it can (1) allow for a wider coverage of body shapes with a fewer number of sizes, (2) generate regular sizing patterns and rules, and (3) provide manufacturers with reference points to facilitate production. The newly developed sizing system can provide garment manufacturers with size specifications, design development, pattern grading, and market analysis. Moreover, when production plans can be made more realistic, inventory costs due to mismatches can be minimized.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (United Kingdom)

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Chang CF (1999) The model analysis of female body size measurement from 18 to 22. J Hwa Gang Textile 6(1):86–94

    Google Scholar 

  2. Hsu KM, Jing SH (1999) The chances of Taiwan apparel industry. J China Textile Inst 9(2):1–6

    Google Scholar 

  3. Tung YM, Soong SS (1994) The demand side analysis for Taiwan domestic apparel market. J China Textile Inst 4(5):375–380

    Google Scholar 

  4. Burns LD, Bryant NO (2000) The Business of fashion: designing, marketing, and manufacturing. Fairchild, USA

    Google Scholar 

  5. Emanuel I, Alexander M, Churchill E, Truett B (1959) A height-weight sizing system for flight clothing. WADCTR 56-365, Aero Med Lab, Ohio, USA

  6. Cooklin G (1992) Pattern grading for women’s clothes. Blackwell, Oxford

  7. Ashdown SP (1998) An investigation of the structure of sizing Systems. Int Journal of Clothing Sci Technol 10(5): 324–341

    Article  Google Scholar 

  8. Jongsuk CY, Jasper CR (1993) Garment-sizing systems: an international comparison. Int J Clothing Sci Technol 5(5):28–37

    Google Scholar 

  9. McCulloch CE, Paal B, Ashdown SP (1998) An optimal approach to apparel sizing. J Oper Res Society 49(5):492–499

    Article  Google Scholar 

  10. Gerritsen R (1999) Assessing loan risks: a data-mining case study. IT Professional 1(6):16–21

    Article  Google Scholar 

  11. Chas YM, Ho SH, Cho KW, Lee DH, Ji SH (2001) Data mining approach to policy analysis in a health insurance domain. Int J Med Informatics 62:103–111

    Article  Google Scholar 

  12. Maddour M, Elloumi M (2002) A data mining approach based on machine learning techniques to classify biological sequences. Knowledge-Based Syst 15(4):217–223

    Google Scholar 

  13. Feng CX, Wang X (2002) Development of empirical models for surface roughness prediction in finish turning. Int J Adv Manuf Technol 20(5):348–356

    Article  Google Scholar 

  14. Ying WT, Lee SP (2002) Data mining using classification techniques in query processing strategies. Computer Systems and Applications, ACS/IEEE International Conference, pp 200–202

  15. Apte C, Weiss S (1997) Data mining with decision trees and decision rules. Future Gener Comput Syst 13:197–210

    Google Scholar 

  16. Breiman L, Friedman JH, Olshen RA, et al. (1998) Classification and regression tree. Chapman & Hall, Florida

  17. Berry M, Linoff G (1997) Data mining techniques: for marketing, sales, and customer support. Wiley, New York

    Google Scholar 

  18. Ministry of National Defense (2002) Defense report for Republic of China: recruit procedures. Taiwan

    Google Scholar 

  19. Chen SY (2000) Multivariate analysis. Hwa-Tai, Taipei

  20. Cooklin G (1992) Pattern grading for men’s clothes. Blackwell, Oxford

  21. Winks JM (1997) Clothing sizes: international standardization. Redwood, U.K.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, 300, Taiwan

    Chih-Hung Hsu & Mao-Jiun J. Wang

Authors
  1. Chih-Hung Hsu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mao-Jiun J. Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Mao-Jiun J. Wang.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hsu, CH., Wang, MJ. Using decision tree-based data mining to establish a sizing system for the manufacture of garments. Int J Adv Manuf Technol 26, 669–674 (2005). https://doi.org/10.1007/s00170-003-2032-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-003-2032-0

Keywords

Search

Navigation