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Throughput assessment of mixed-model flexible transfer lines with unreliable machines

Author

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  • Dhouib, K.
  • Gharbi, A.
  • Landolsi, N.

Abstract

Most of the research that has been carried out to date to analyse transfer line performance is so far limited to the mono-product systems due to the complexity associated with multi-product considerations. In this paper, we consider mixed-model flexible transfer lines manufacturing several product types. The flexible transfer line workstations are arranged in a serial configuration, interconnected by an automatic transfer mechanism, and subject to operation-dependent failures. The throughput is an important tool for measuring the performance of transfer lines, and this paper establishes a method for assessing this throughput. A general simulation model is proposed, allowing a comparison of the performance of the proposed method with those of approximate existing techniques. Numerical computations show that the proposed formulae are robust to estimate the throughput of multi-product transfer lines, and that the results are very satisfactory.

Suggested Citation

  • Dhouib, K. & Gharbi, A. & Landolsi, N., 2009. "Throughput assessment of mixed-model flexible transfer lines with unreliable machines," International Journal of Production Economics, Elsevier, vol. 122(2), pages 619-627, December.
    • Handle: RePEc:eee:proeco:v:122:y:2009:i:2:p:619-627
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    References listed on IDEAS

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    1. Bautista, Joaquin & Cano, Jaime, 2008. "Minimizing work overload in mixed-model assembly lines," International Journal of Production Economics, Elsevier, vol. 112(1), pages 177-191, March.
    2. Scholl, Armin, 1995. "Balancing and sequencing of assembly lines," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 9690, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    3. Quadt, Daniel & Kuhn, Heinrich, 2007. "Batch scheduling of jobs with identical process times on flexible flow lines," International Journal of Production Economics, Elsevier, vol. 105(2), pages 385-401, February.
    4. Liu, Xiao-Gao & Buzacott, John A., 1990. "Approximate models of assembly systems with finite inventory banks," European Journal of Operational Research, Elsevier, vol. 45(2-3), pages 143-154, April.
    5. Papadopoulos, H. T. & Heavey, C., 1996. "Queueing theory in manufacturing systems analysis and design: A classification of models for production and transfer lines," European Journal of Operational Research, Elsevier, vol. 92(1), pages 1-27, July.
    6. Chen, Chin-Tai & Yuan, John, 2004. "Transient throughput analysis for a series type system of machines in terms of alternating renewal processes," European Journal of Operational Research, Elsevier, vol. 155(1), pages 178-197, May.
    7. McMullen, Patrick R. & Frazier, Gregory V., 1997. "A heuristic for solving mixed-model line balancing problems with stochastic task durations and parallel stations," International Journal of Production Economics, Elsevier, vol. 51(3), pages 177-190, September.
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