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Nonstationary analysis of manufacturing systems using timed event graphs.

Amon, T.

In: Journal of Manufacturing Systems, Vol. 15, No. 3, pages 200-207. 1996.

Abstract: Using automated methods to analyze the temporal behavior of manufacturing systems has proven to be essential and quite beneficial. Popular methodologies include queuing networks, Markov chains, simulation techniques, and discrete event systems (such as Petri nets). These methodologies are primarily stochastic. Performance evaluation mandates results that are probabilistic in nature (such as the average rate of part deliveries).

Keywords: manufacturing systems, nonstationary analysis, timed event graphs.

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