• DocumentCode
    2116388
  • Title

    Reorganization of Master Manufacturing Process-Planning Based on Complexity in Mass Customization

  • Author

    Cheng, Xin ; Li, Dan ; Xu, Xinsheng

  • Author_Institution
    Inst. of Ind. Eng., China Jiliang Univ., Hangzhou, China
  • Volume
    2
  • fYear
    2010
  • fDate
    7-8 Aug. 2010
  • Firstpage
    481
  • Lastpage
    484
  • Abstract
    In order to keep the flexibility and intelligence of master manufacturing process-planning in mass customization, it is significant to control its decision-making complexity. Firstly, the decision-making tree description of master manufacturing process-planning was presented, and then the rules of pruning decision-making tree and constructing decision-making subtree based on machining feature were put forward so as to provide model object for complexity analysis. Secondly, cyclomatic complexity is employed to explore decision-making complexity characteristic of manufacturing process-planning knowledge. And module design complexity of decision-making subtree and integration complexity of decision-making tree were defined respectively. Based on these, controlling complexity method such as union and partition was implemented to decision-making tree with the priority sequence of process-planning harmoniousness, datum plane consistency, and process-planning integrity. Finally, a case study was given to explain the principles and methods mentioned.
  • Keywords
    decision making; mass production; process planning; product customisation; complexity analysis; decision-making; decision-making tree; mass customization; master manufacturing process-planning; Complexity theory; Decision making; Machining; Mass customization; Planning; Process control; complexity; mass customization; master manufacturing process-planning; reorganization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Management Engineering (ISME), 2010 International Conference of
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-7669-5
  • Electronic_ISBN
    978-1-4244-7670-1
  • Type

    conf

  • DOI
    10.1109/ISME.2010.221
  • Filename
    5573782