The robustness ofCAN-Qin modelling automated manufacturing systems

Abstract
CAN-Q is a recursive algorithm for solving a closed-form stochastic model of production systems. This paper presents an investigation of the effect of departures from the assumptions underlying the analytical queueing network model on the performance predicted by CAN-Q.

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