Journal of the Japanese Society for Artificial Intelligence
Online ISSN : 2435-8614
Print ISSN : 2188-2266
Print ISSN:0912-8085 until 2013
A Method for Diagnosis and Improvement on Bottleneck of Queueing Network by Qualitative and Quantitative Reasoning
Kiyoshi ITOHShin-ichi HON-IDENJun SAWAMURAKeisuke SHIDA
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1990 Volume 5 Issue 1 Pages 92-105

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Abstract

Qualitative and quantitative reasoning can be applied to the parameter tuning process for the queueing network (QN) type system for improving its bottlenecks. This process consists of 3 phases, i. e., the diagnosis on bottlenecks and their sources, the estimation of the effects of the bottleneck improvement, and the determination of new parameters. On the basis of "qualitative reasoning" and "quantitative reasoning", 2 expert systems have been developed, i. e., BDES (Bottleneck Diagnosis Expert System) and BIES (Bottleneck Improvement Expert System) which can be applied to the 1st and 2nd phases, respectively. This paper shows the applicability of qualitative and quantitative reasoning for bottleneck improvement in queueing networks.

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© 1990 The Japaense Society for Artificial Intelligence
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