An application of data mining technique in engineering to facilitate production management of garments

  • Authors:
  • Hai-Fen Lin;Chih-Hung Hsu;Mao-Jiun J. Wang

  • Affiliations:
  • Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, Taiwan, R.O.C.;Department of Industrial Engineering and Management, Hsiuping Institute of Technology, Taiwan, R.O.C.;Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, Taiwan, R.O.C.

  • Venue:
  • ICCOMP'07 Proceedings of the 11th WSEAS International Conference on Computers
  • Year:
  • 2007

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Abstract

In the field of garment manufacturing, the planning and control of production and inventory are very difficult. Thus, establishing standard sizing systems are necessary and important for manufacturers. Because standard sizing systems need anthropometric data for reference, so we first construct a large anthropometric database. Data mining has been extensively used in many fields. Little research has been conducted on establishing sizing systems. This study aims to establish systems for determining the sizes of garments for army soldiers using a data mining technique. The newly developed sizing systems can correctly predict the requirements for different sizes of uniforms, and thus to generate a realistic production planning. Unnecessary inventory costs due to sizing mismatches between number of soldiers and produced garments can be minimized.