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A Multiple Time Series Approach to Modeling the Manufacturing Job-Shop as a Network of Queues

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  • Harold J. Steudel

    (Marquette University)

  • S. M. Pandit

    (Michigan Technological University)

  • S. M. Wu

    (University of Wisconsin)

Abstract

The behavior of a uniformly sampled network of job-shop queues is characterized and interpreted using multiple time series. An analysis of actual queue data for a network of five functionally related machine centers shows that queue behavior is adequately described as a first order vector valued autoregressive model. This model describes the stochastic nature of each queue in the shop and its relationship to the other queues comprising the network. A network of queues obtained from simulating this job-shop under a composite dispatching rule is also modeled and interpreted as a first order, multivariate autoregressive process.

Suggested Citation

  • Harold J. Steudel & S. M. Pandit & S. M. Wu, 1977. "A Multiple Time Series Approach to Modeling the Manufacturing Job-Shop as a Network of Queues," Management Science, INFORMS, vol. 24(4), pages 456-463, December.
    • Handle: RePEc:inm:ormnsc:v:24:y:1977:i:4:p:456-463
    DOI: 10.1287/mnsc.24.4.456
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