M/G/c/K PERFORMANCE MODELS IN MANUFACTURING AND SERVICE SYSTEMS

J. Macgregor Smith ()
Additional contact information
J. Macgregor Smith: Department of Mechanical and Industrial Engineering, University of Massachusetts Amherst, Massachusetts 01003, USA

Asia-Pacific Journal of Operational Research (APJOR), 2008, vol. 25, issue 04, 531-561

Abstract: Multi-server, finite buffer, performance models of queueing systems are very useful tools for manufacturing, telecommunication, transportation and facility modelling applications. Exact computation of performance measures for general service multi-server queueing systems remains an intractable problem. Approximations of these performance measures are important to quickly and accurately reveal the performance of a system. This is desirable for both performance evaluation as well as optimization of these systems. Two-moment approximation formulas are presented for performance modelling of multi-server systems involving servers of 2,3,…,10 servers. Extensive computational results are provided to evaluate the approximation results against simulation, known tabular results, and other approximation formulas. Applications of the model to optimizing manufacturing and service systems using a marginal allocation algorithm are briefly illustrated. Extensions of the two-moment methodology to larger multi-server systemsc = {25, 50, 100}round out the paper.

Keywords: M/G/c/K; performance; models (search for similar items in EconPapers)
Date: 2008
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0217595908001857
Access to full text is restricted to subscribers

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:wsi:apjorx:v:25:y:2008:i:04:n:s0217595908001857

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0217595908001857

Access Statistics for this article

Asia-Pacific Journal of Operational Research (APJOR) is currently edited by Gongyun Zhao

More articles in Asia-Pacific Journal of Operational Research (APJOR) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().