A unified setting for various models of automated material flow and production systems

Abstract A conceptual framework is proposed for the description of discrete-event models of material flow and production systems. It is built in accordance with the traditional view of systems as a set of related objects. Objects express resources, and relations define activities. Various models can be described by the way the state-transition mapping is specified, such as stochastic queuing networks, event-graphs, Petri nets, and discrete-event simulation models. The proposed setting may help building consistent models at various stages of the design of a manufacturing system, and can be used as a basis for a tutorial presentation of existing approaches.

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