Business Dynamics
Operations Management
Automation, Production Systems, and Computer-Integrated Manufacturing
Automation, Production Systems, and Computer-Integrated Manufacturing
Discrete-Event Modeling and Simulation: A Practitioner's Approach
Discrete-Event Modeling and Simulation: A Practitioner's Approach
Neural networks in production control
CSCC'11 Proceedings of the 2nd international conference on Circuits, Systems, Communications & Computers
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Due to highly cross-linked material flows with various dependences the dynamics of job-shop-systems is often complex. In order to improve the understanding of these dynamics and to support the system's design, planning and control simulation is applied. Based on the discrete properties of job-shop-systems mostly discrete-event simulation (DES) is employed. However, DES entails rather high modeling efforts and is limited in its time frames. In this article we investigate the potentials of a continuous modeling approach and apply the derived model to study the impact of external market dynamics on the system's behavior and its logistics key figures.