• DocumentCode
    2784077
  • Title

    Improvability properties of assembly systems

  • Author

    Meerkov, S.M. ; Park, E.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
  • Volume
    4
  • fYear
    1995
  • fDate
    13-15 Dec 1995
  • Firstpage
    4182
  • Abstract
    The problem of improvability of manufacturing systems which include the assembly of parts produced is formulated. A simple model with a Bernoulli model of machine reliability is analyzed using numerical simulations. It is shown that there exist improvability properties structural in nature. In particular, an assembly system is unimprovable with respect to the machine efficiency re-distribution if the probability of blockages of each component machines are equal to the probability starvation of the assembly machine caused by this particular component machine. The improvability with respect to the inventory re-distribution is characterized in terms of the average occupancy of the component buffers. The results obtained could be useful to guide continuous improvements project on the factory door and could serve as a source for a formal system-theoretic analysis of production systems involving the assembly
  • Keywords
    assembling; performance index; production control; reliability theory; stock control; Bernoulli model; assembly systems; improvability; inventory re-distribution; machine reliability; manufacturing systems; probability; production systems; Assembly systems; Continuous improvement; Continuous production; Flow production systems; Isolation technology; Manufacturing systems; Numerical simulation; Performance analysis; Production facilities; Production systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
  • Conference_Location
    New Orleans, LA
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-2685-7
  • Type

    conf

  • DOI
    10.1109/CDC.1995.478800
  • Filename
    478800