Simulative Assessment of Agent Based Production Planning and Control Strategies

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.