• DocumentCode
    2640087
  • Title

    Research and Application of One-Dimensional Optimal Cutting Stock System Oriented to Manufacturability

  • Author

    Chunping, Yan ; Tianfeng, Song ; Zhaoxia, Zhang ; Fei, Liu

  • Author_Institution
    Coll. of Mech. Eng., Chongqing Univ., Chongqing, China
  • Volume
    2
  • fYear
    2009
  • fDate
    March 31 2009-April 2 2009
  • Firstpage
    191
  • Lastpage
    195
  • Abstract
    The generalized concept of cutting stock problem was proposed, and the meaning of the cutting stock problem oriented to manufacturability was discussed. For one-dimensional cutting stock problem, the influencing factors and the processing methods of the manufacturability of cutting plan was researched. The function and structure of the manufacturability oriented one-dimensional optimal cutting stock system based on multithread technology was put forward. Then, processing ways for one-dimensional cutting stock problem oriented to manufacturability was studied and a two-stage optimization method combined forward and reverse optimization was given. Finally, a software system for the cutting stock problem studied above was developed and an example was given to verify the practicality and efficiency of the system.
  • Keywords
    bin packing; multi-threading; production engineering computing; production planning; cutting plan; forward optimization; manufacturability; multithread technology; one-dimensional cutting stock problem; one-dimensional optimal cutting stock system; reverse optimization; software system; two-stage optimization method; Collaborative work; Computer aided manufacturing; Costs; Design optimization; Manufacturing industries; Manufacturing processes; Optimization methods; Product design; Production; Raw materials; manufacturability; one-dimensional cutting stock problem; two-stage optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Engineering, 2009 WRI World Congress on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-0-7695-3507-4
  • Type

    conf

  • DOI
    10.1109/CSIE.2009.581
  • Filename
    5171326