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Performance Bounds for Flexible Systems Requiring Setups

Author

Listed:
  • Mahender P. Singh

    (MIT Center for Transportation and Logistics, Massachusetts Institute of Technology, Room E40-363, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139)

  • Mandyam M. Srinivasan

    (College of Business Administration, The University of Tennessee, 611 Stokely Management Center, Knoxville, Tennessee 37996)

Abstract

Many organizations use product variety as one possible strategy for increasing their competitiveness. They have installed flexible manufacturing systems because these systems offer a powerful means for accommodating production and assembly of a variety of products. However, increased product variety comes at a cost. For instance, if the resource requires to be set up each time it switches to operate on a new product, the resulting delays and costs could negate the intended benefits of increased product variety. Analyzing these flexible resources for optimal design and operation is therefore very important. To address such issues, we model a flexible resource, serving multiple products, using a queueing model--more precisely, a polling model. In this model, a single server attends to multiple service centers (queues) at which requests arrive and queue up for service, performing a setup at a polled queue only if that queue is nonempty. This is the state dependent (SD) polling model. Exact analysis of the SD polling model is inherently very complex. This paper presents a very efficient procedure to compute a hierarchy of successively improving bounds on the values of performance measures obtained from the SD polling model with the exact solution as its limit. This procedure can be applied to quickly estimate performance measures for large SD polling models previously deemed analytically intractable.

Suggested Citation

  • Mahender P. Singh & Mandyam M. Srinivasan, 2007. "Performance Bounds for Flexible Systems Requiring Setups," Management Science, INFORMS, vol. 53(6), pages 991-1004, June.
    • Handle: RePEc:inm:ormnsc:v:53:y:2007:i:6:p:991-1004
    DOI: 10.1287/mnsc.1060.0639
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    References listed on IDEAS

    as
    1. Mandyam M. Srinivasan, 1991. "Nondeterministic Polling Systems," Management Science, INFORMS, vol. 37(6), pages 667-681, June.
    2. Debashish Sarkar & Willard I. Zangwill, 1991. "Variance Effects in Cyclic Production Systems," Management Science, INFORMS, vol. 37(4), pages 444-453, April.
    3. Altman, E. & Blanc, J.P.C. & Khamisy, A. & Yechiali, U., 1994. "Gated-type polling systems with walking and switch-in times," Other publications TiSEM c093d92a-422f-4216-b528-0, Tilburg University, School of Economics and Management.
    4. Leonard Kleinrock & Hanoch Levy, 1988. "The Analysis of Random Polling Systems," Operations Research, INFORMS, vol. 36(5), pages 716-732, October.
    5. Georg Krieg & Heinrich Kuhn, 2004. "Analysis of Multi-Product Kanban Systems with State-Dependent Setups and Lost Sales," Annals of Operations Research, Springer, vol. 125(1), pages 141-166, January.
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