116
5 Development of a Simulation-based Methodology …
the total average energy consumption in a production as well as the maximum
consumption level (Figure 5.20).
Figure 5.20 Status and peak load optimization of a four-machine scenario
If more than one objective function exists, it has to be defined which objective is pursued with which priority. This is especially important for the software
implementation. It must be considered whether the objective functions are pursued in parallel in one optimization experiment, or if an optimization experiment
per objective function is created. For the second option, each of the optimized
parameters from experiments with higher priority have to be taken over as fixed
variables in subsequent experiments. The exact implications of parallel and separate optimization experiments will be demonstrated using practical examples in
sections 5.6.5 and 6.3.
5.4.2 Optimization Objectives
The optimization objectives are generally defined by the general management for
the production and often include weighted preferences and prioritized criteria on
the performance of single production areas. Optimal decisions are thus dependent on the defined objective function and are optimal only with regard to the
underlying objective function itself. Following the scenarios described above, two
5 Development of a Simulation-based Methodology …
the total average energy consumption in a production as well as the maximum
consumption level (Figure 5.20).
Figure 5.20 Status and peak load optimization of a four-machine scenario
If more than one objective function exists, it has to be defined which objective is pursued with which priority. This is especially important for the software
implementation. It must be considered whether the objective functions are pursued in parallel in one optimization experiment, or if an optimization experiment
per objective function is created. For the second option, each of the optimized
parameters from experiments with higher priority have to be taken over as fixed
variables in subsequent experiments. The exact implications of parallel and separate optimization experiments will be demonstrated using practical examples in
sections 5.6.5 and 6.3.
5.4.2 Optimization Objectives
The optimization objectives are generally defined by the general management for
the production and often include weighted preferences and prioritized criteria on
the performance of single production areas. Optimal decisions are thus dependent on the defined objective function and are optimal only with regard to the
underlying objective function itself. Following the scenarios described above, two