• DocumentCode
    690848
  • Title

    Reconfigurable mixed model assembly line design in a dynamic production environment

  • Author

    Damayanti, D.D. ; Toha, I.S.

  • Author_Institution
    Dept. of Ind. Eng., Inst. Teknol. Telkom, Bandung, Indonesia
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Firstpage
    568
  • Lastpage
    572
  • Abstract
    A mixed model assembly line is generally designed to produce a certain production mixed and volume that is assumed to be steady for a long period. As a result, the line performance tends to decline by some fluctuations in production demand. In a dynamic production environment, an assembly line configuration and product sequence may need to be revised every time the demand changes to keep the line efficient. However, frequent or radical reconfiguration of the line could be costly; the change of the line configuration and product sequence should be optimized. This paper presents a model of a reconfigurable mixed model assembly line design in a dynamic production environment. The model is formulated in a non linear integer programming formulation that minimizes total cost of assembly line reconfiguration for a multiple-period. Numerical example of the model shows the application of the model and yields a reconfigurable mixed model assembly line.
  • Keywords
    assembling; dynamic scheduling; integer programming; nonlinear programming; cost minimization; dynamic production environment; nonlinear integer programming; product sequence; production demand; reconfigurable mixed model assembly line design; Assembly; Indexes; Industrial engineering; Manufacturing systems; Numerical models; Workstations; Reconfigurable line design; mixed model assembly line; products sequence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2012 IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Type

    conf

  • DOI
    10.1109/IEEM.2012.6837803
  • Filename
    6837803