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Analytical analysis of a generic assembly system

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  • De Boeck, Liesje
  • Vandaele, Nico

Abstract

The assembly of components is a key element in manufacturing facilities. Nevertheless, literature analyzing the dynamic behavior remains scarce. The paper narrows this gap by studying a generic first-come first-serve assembly system, consisting of two generally distributed component input streams. The field of probability theory serves as a means to derive good approximations for the waiting time of the components to form a kit and the inter-arrival time of the kits at the assembly station. Apart from providing insight in generally accepted managerial principles, this analysis also constitutes a required step in obtaining the performance of an open queuing network including assemblies.

Suggested Citation

  • De Boeck, Liesje & Vandaele, Nico, 2011. "Analytical analysis of a generic assembly system," International Journal of Production Economics, Elsevier, vol. 131(1), pages 107-114, May.
  • Handle: RePEc:eee:proeco:v:131:y:2011:i:1:p:107-114
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    References listed on IDEAS

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    1. Kenneth R. Baker & Stephen G. Powell & David F. Pyke, 1993. "Optimal Allocation of Work in Assembly Systems," Management Science, INFORMS, vol. 39(1), pages 101-106, January.
    2. De Boeck, Liesje, 2008. "Proofs for Coordination and synchronization of material flows in supply chains: an analytical approach," Working Papers 2008/28, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
    3. Rajan Suri & Gregory W. W. Diehl & Suzanne de Treville & Michael J. Tomsicek, 1995. "From CAN-Q to MPX: Evolution of Queuing Software for Manufacturing," Interfaces, INFORMS, vol. 25(5), pages 128-150, October.
    4. Ward Whitt, 1982. "Approximating a Point Process by a Renewal Process, I: Two Basic Methods," Operations Research, INFORMS, vol. 30(1), pages 125-147, February.
    5. De Boeck, L. & Vandaele, N., 2008. "Coordination and synchronization of material flows in supply chains: An analytical approach," International Journal of Production Economics, Elsevier, vol. 116(2), pages 199-207, December.
    6. Matta, Andrea & Dallery, Yves & Di Mascolo, Maria, 2005. "Analysis of assembly systems controlled with kanbans," European Journal of Operational Research, Elsevier, vol. 166(2), pages 310-336, October.
    7. W. E. Wilhelm & Pradip Som, 1999. "Analysis of Stochastic Assembly with GI-Distributed Assembly Time," INFORMS Journal on Computing, INFORMS, vol. 11(1), pages 104-116, February.
    8. Baker, Kenneth R. & Powell, Stephen G., 1995. "A predictive model for the throughput of simple assembly systems," European Journal of Operational Research, Elsevier, vol. 81(2), pages 336-345, March.
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    Cited by:

    1. Park, Chan-Woo & Lee, Hyo-Seong, 2013. "Performance evaluation of a multi-product CONWIP assembly system with correlated external demands," International Journal of Production Economics, Elsevier, vol. 144(1), pages 334-344.

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