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

Harold J. Steudel, S. M. Pandit and S. M. Wu
Additional contact information
Harold J. Steudel: Marquette University
S. M. Pandit: Michigan Technological University
S. M. Wu: University of Wisconsin

Management Science, 1977, vol. 24, issue 4, 456-463

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.

Date: 1977
References: Add references at CitEc
Citations:

Downloads: (external link)
http://dx.doi.org/10.1287/mnsc.24.4.456 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:24:y:1977:i:4:p:456-463

Access Statistics for this article

More articles in Management Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().