Abstract
To capture the dynamics in flexible manufacturing systems and derive appropriate production planning and control (PPC) strategies, simulation has proven to be a promising method. However, many simulation approaches focus on supply chain aspects, discrete production steps or were modeled for specific use cases involving a high degree of complexity. This paper presents an approach to structure manufacturing systems including parametrizable jobs, products and machines. It provides the option to choose from a normal, an energy- or time-efficient PPC strategy either minimizing the required time or energy demand. As a result, improved case-specific PPC strategies can be derived.
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