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Non-stationary models of manufacturing systems: relevance and analysis

Narahari, Y and Hemachandra, N (1995) Non-stationary models of manufacturing systems: relevance and analysis. In: of Tenth International Symposium on Intelligent Control, 27-29 Aug. 1995, Monterey, CA, USA, pp. 298-303.

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Abstract

Performance evaluation studies in manufacturing systems have traditionally considered models in which the arrival process and service process are time independent. Real-world manufacturing systems however, are subjected to highly complex and usually time-dependent input workloads. This motivates the study of performance models of manufacturing systems under nonstationary conditions. In this paper, we present several situations in manufacturing systems where nonstationary models are relevant. For studying such models, transient analysis is more appropriate than steady-state analysis. We explore various techniques for analyzing such models, including numerical and simulation techniques, and present two illustrative examples

Item Type: Conference Paper
Additional Information: 1995 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE
Keywords: Computer simulation;Numerical analysis;Stochastic control systems;Queueing theory;Performance
Department/Centre: Division of Electrical Sciences > Computer Science & Automation (Formerly, School of Automation)
Date Deposited: 18 Sep 2007
Last Modified: 19 Sep 2010 04:37
URI: http://eprints.iisc.ernet.in/id/eprint/10937

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