Methods for Hybrid Modeling and Simulation-Based Optimization in Energy-Aware Production Planning
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Beschreibung
This thesis presents a hybrid discrete/continuous modelling approach and simulation implementation based on the Discrete-Event System Specification (DEVS) for industrial production planning optimization. The chosen hybrid modelling concept allows to accurately capture material flows within a production system as discrete entities on one hand and continuous energy flows on the other hand, in the production as well as for other domains, such as heating or cooling, up to the thermal building envelope. This enables the user to assess the energy demand during production while also incorporating dynamic interactions between production equipment and periphery. The method and implementation show structural advantages in comparison with the alternative co-simulation approach.
The author then combines this hybrid simulation with a meta-heuristic optimization procedure for operative production planning. The multi-objective problem takes into account overall energy efficiency as well as classical production goals and also optimizes production set-up times in order to save energy.
To support efficient modelling of such hybrid simulations in practical applications, the author also designs a domain-specific model abstraction level with modules, called Cubes, which allows to describe hybrid simulation models in an intuitive and domain-specific way. The method is based on a model-driven engineering process and defines a component-based meta-model for production systems. And last but not least, the modelling and simulation concept is demonstrated on a practical application of a bakery factory.
Autor*in
Bernhard Heinzl
Themen in »Methods for Hybrid Modeling and Simulation-Based Optimization in Energy-Aware Production Planning«
Hybrid Modeling Production Planning Simulation-based Optimisation