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Research on Cut Order Planning for Apparel Mass Customization

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Emerging Research in Artificial Intelligence and Computational Intelligence (AICI 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 237))

Abstract

To solve the problem of versatile sizes and irregular number in cut order planning (COP) for apparel mass customization, the mathematical model was built and optimization method based on probability search was proposed. Several cutting table layout plans were generated randomly with the production constriction. The optimized sizes combination plan was accordingly obtained using probability search algorithm. The optimization method could rapidly get the apparel cutting plan and decrease the number of cutting table.

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References

  1. Jacobs-Blecha, C., Ammons, J.C., Schutte, A., Smith, T.: Cut order planning for apparel manufacturing. IIE Transactions 30, 79–90 (1998)

    Article  Google Scholar 

  2. Dawn, M.R., Douglas, R.S.: Cut scheduling in the apparel industry. J. Computers & Operations Research 34, 3209–3228 (2006)

    MATH  Google Scholar 

  3. Jiang, X.-w.: Research on apparel cut order planning optimization system. Sichuan Silk 12(2), 41–44 (2000)

    Google Scholar 

  4. Sun, X.-y., Qiu, Y.-y.: How to make cut oreder planning in apparel production. China Textile Leader 2, 40–41 (2003)

    Google Scholar 

  5. Bouziri, A., M’Hallah, R.: A Hybrid Genetic Algorithm for the Cut Order Planning Problem. In: Okuno, H.G., Ali, M. (eds.) IEA/AIE 2007. LNCS (LNAI), vol. 4570, pp. 454–463. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  6. Wong, W.K., Leung, S.Y.S.: Genetic optimization of fabric utilization in apparel manufacturing. Int. J. Production Economics 114, 376–387 (2008)

    Article  Google Scholar 

  7. Degraeve, Z., Vandebroek, M.: A mixed integer programming model for solving a layout problem in the fashion industry. Management Science 44, 301–310 (1998)

    Article  MATH  Google Scholar 

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Author information

Authors and Affiliations

  1. Institute of Contemporary Manufacturing Engineering, Zhejiang University, Hangzhou, 310027, China

    Liu Yan-mei

  2. Faculty of Mechanical Engineering & Automation, Zhejiang Sci-Tech University, Hangzhou, 310018, China

    Liu Yan-mei, Yan Shao-cong & Zhang Shu-ting

Authors
  1. Liu Yan-mei
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  2. Yan Shao-cong
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  3. Zhang Shu-ting
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Editor information

Editors and Affiliations

  1. School of Business Information technology, RMIT University, GPO Box 2476V, 3000, Melbourne, Victoria, Australia

    Hepu Deng

  2. Department of Computer Science and Technology, Tongji University, Shanghai, China

    Duoqian Miao

  3. Caritas Institute of Higher Education, 18 Chui Ling Road, Tseung Kwan, Hong Kong, SAR, China

    Fu Lee Wang

  4. School of Computer and Information Engineering, Shanghai University of Electric Power, 200090, Shanghai, China

    Jingsheng Lei

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© 2011 Springer-Verlag Berlin Heidelberg

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Yan-mei, L., Shao-cong, Y., Shu-ting, Z. (2011). Research on Cut Order Planning for Apparel Mass Customization. In: Deng, H., Miao, D., Wang, F.L., Lei, J. (eds) Emerging Research in Artificial Intelligence and Computational Intelligence. AICI 2011. Communications in Computer and Information Science, vol 237. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24282-3_36

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  • DOI: https://doi.org/10.1007/978-3-642-24282-3_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24281-6

  • Online ISBN: 978-3-642-24282-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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