Autonomous Control in Serial Production with Time-Continuous and Discrete Event Models

Abstract

This paper presents a new approach for controlling serial production lines. Thereby, discrete event and time-continuous simulation are used and the utility of both methods is compared, concerning precision of the outcomes, as well as user friendliness. The main contribution is an autonomous control approach in an exemplary flow shop scenario with two production lines including three processors in each case. Two different types of products are produced in the presented production environment, whereas each type is preferably produced on one of the lines. The presented strategy enables the products to decide themselves which production line has to be chosen depending on the evolution of the inventory within the production environment.

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