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Analysis of production lines with Coxian service times and no intermediate buffers

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  • H. T. Papadopoulos

Abstract

This paper uses the holding time model (HTM) method to derive an approximate analytic formula for the calculation of the mean throughput of a K‐station production line with no buffers between any two successive stations. Service times follow the two‐stage Coxian (C2) distribution at all stations. The paper provides a formula that relates the third moment of the service completion (or virtual service) time with the respective parameters of the service time, the repair time and the time to breakdown (the latter is assumed to follow the exponential distribution). In this way, it concludes that under certain conditions the two‐stage Coxian distribution can be used to approximate any general distribution matching the first three moments of the service completion time distribution. The mean holding times (consisting of the service and blocking periods) of all stations of the line are obtained in an analytical form. Numerical results are provided for the mean throughput of lines with up to 20 stations. These results are shown to have a good accuracy compared against results obtained from the Markovian state method (for short lines) and results from simulation (for longer lines). © 1998 John Wiley & Sons, Inc. Naval Research Logistics 45: 669–685, 1998

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  • H. T. Papadopoulos, 1998. "Analysis of production lines with Coxian service times and no intermediate buffers," Naval Research Logistics (NRL), John Wiley & Sons, vol. 45(7), pages 669-685, October.
    • Handle: RePEc:wly:navres:v:45:y:1998:i:7:p:669-685
    DOI: 10.1002/(SICI)1520-6750(199810)45:73.0.CO;2-9
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    References listed on IDEAS

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    1. Heavey, C. & Papadopoulos, H. T. & Browne, J., 1993. "The throughput rate of multistation unreliable production lines," European Journal of Operational Research, Elsevier, vol. 68(1), pages 69-89, July.
    2. Hrissoleon T. Papadopoulos, 1995. "The Throughput of Multistation Production Lines with No Intermediate Buffers," Operations Research, INFORMS, vol. 43(4), pages 712-715, August.
    3. Muth, Eginhard J., 1984. "Stochastic processes and their network representations associated with a production line queuing model," European Journal of Operational Research, Elsevier, vol. 15(1), pages 63-83, January.
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