5.1 Concept Objective and Requirements
93
• Optimization
The methodology shall include optimization experiments for goal-oriented
recommendations in all relevant fields of action. The approach must allow the
optimization of complex production lines with its interactions and dependencies and should not be limited to single machine optimization. The interactions
of machines as well as cumulative effects on a production line and factory level
need to be considered in detail. Additionally, the optimization of the energy
efficiency has to be done following an integrative approach, which means that
energy costs have to be looked at together with traditional production planning
aspects as time, costs and quality.
• Predictability
The methodology shall support the structuring of data in a way that it is possible to select from the existing database data sets that allow a forecasting
of energy requirements for unanalyzed combinations of operating machines,
process scheduling tasks and process parameters.
• Evaluation
The methodology shall include an evaluation tool to provide Energy and Key
Performance Indicators (EnPIs and KPIs) and their development over time. The
optimization recommendations must be portrayed comprehensibly to function
as an active decision-making tool.
• Visualization
The methodology shall include a dynamic visualization to provide a good
overview of parameters, processes, and relevant impact factors. The visualization of results is additionally required to support a full documentation
of improvements and to create a widespread understanding of optimization
results.
• Application
The methodology shall include application guidelines that allow a systematic implementation in production. The application guidelines intend to avoid
unnecessary repetitions of implementation steps, support the individual implementation phases by means of proven procedures, and minimize the overall
implementation time as well as expenses for system and data maintenance.
• Usability
The methodology shall be readily accessible to ensure broad utilization of
the research results. Therefore, the simulation and optimization tool has to
be useable without demanding for cost-intensive licenses and implementation
specialists.
93
• Optimization
The methodology shall include optimization experiments for goal-oriented
recommendations in all relevant fields of action. The approach must allow the
optimization of complex production lines with its interactions and dependencies and should not be limited to single machine optimization. The interactions
of machines as well as cumulative effects on a production line and factory level
need to be considered in detail. Additionally, the optimization of the energy
efficiency has to be done following an integrative approach, which means that
energy costs have to be looked at together with traditional production planning
aspects as time, costs and quality.
• Predictability
The methodology shall support the structuring of data in a way that it is possible to select from the existing database data sets that allow a forecasting
of energy requirements for unanalyzed combinations of operating machines,
process scheduling tasks and process parameters.
• Evaluation
The methodology shall include an evaluation tool to provide Energy and Key
Performance Indicators (EnPIs and KPIs) and their development over time. The
optimization recommendations must be portrayed comprehensibly to function
as an active decision-making tool.
• Visualization
The methodology shall include a dynamic visualization to provide a good
overview of parameters, processes, and relevant impact factors. The visualization of results is additionally required to support a full documentation
of improvements and to create a widespread understanding of optimization
results.
• Application
The methodology shall include application guidelines that allow a systematic implementation in production. The application guidelines intend to avoid
unnecessary repetitions of implementation steps, support the individual implementation phases by means of proven procedures, and minimize the overall
implementation time as well as expenses for system and data maintenance.
• Usability
The methodology shall be readily accessible to ensure broad utilization of
the research results. Therefore, the simulation and optimization tool has to
be useable without demanding for cost-intensive licenses and implementation
specialists.