• DocumentCode
    344356
  • Title

    Hybrid simulation objects using fuzzy set theory for simulation of innovative process chains

  • Author

    Menzel, T. ; Geiger, M.

  • Author_Institution
    Dept. of Manuf. Technol., Erlangen-Nurnberg Univ., Germany
  • Volume
    1
  • fYear
    1999
  • fDate
    36342
  • Firstpage
    641
  • Abstract
    The purpose of introducing new manufacturing process chains, such as innovative sheet metal processing technologies, is to increase production efficiency. Their success can be quantified by assessing the expected reduction of manufacturing time or costs and the increase in flexibility. However, the implementation of new process chains is usually inhibited by the financial effort and the lack of exact knowledge about their real effect on production efficiency. Furthermore, the economic efficiency is mainly dependent on the vaguely known quantity and variety of products which have been planned for future production. Therefore, a hybrid system using dynamic simulation objects and fuzzy set theory is designed to assess its efficiency and flexibility in advance. Its design and application are explained by the example of the hydroforming process chain of sheet metal pairs, an innovative sheet metal forming technology
  • Keywords
    computer aided production planning; forming processes; fuzzy set theory; hybrid simulation; object-oriented programming; production control; dynamic simulation objects; fuzzy set theory; hydroforming process; manufacturing process; planning; production control; sheet metal forming; Costs; Economic forecasting; Fuzzy set theory; Manufacturing industries; Manufacturing processes; Optimized production technology; Production planning; Pulp manufacturing; Sheet metal processing; Technological innovation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Processing and Manufacturing of Materials, 1999. IPMM '99. Proceedings of the Second International Conference on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    0-7803-5489-3
  • Type

    conf

  • DOI
    10.1109/IPMM.1999.792563
  • Filename
    792563