84
4 State of the Art
parameters in the production, saving opportunities can be realized without influencing the production output negatively. The third category focuses on early
planning phases in production planning. By the evaluation of process alternatives
and the appropriate dimensioning of energy efficient components and machines,
the production design can be influenced right from the beginning. As the third case
is relevant for new planning projects rather than for the optimization of existing
productions, it will not be considered any further in this thesis.
In general terms, the evaluation methods in the approaches all focus on subareas of the production, following one perspective in order to optimize the energy
use. This may lead to incomplete energy policies as well as conflicting goals
within the production and may cause problem shifting from one area to another.
Only by following an integrated view of production systems, considering all interdependencies between the production equipment, process parameters, relevant inand outputs, an appropriate method for assessing the energy consumption can be
established.
Most of the studies have been validated using case studies from the automotive
industry. Often, developed approaches are very case-specific and not transferrable to the production processes of other industries without high efforts. Several
authors criticize that adjustments in production control to reduce energy consumption are only implemented in real industry cases, as long as they do not have a
negative influence on output quantities. Although the main focus is on optimizing the energy use without causing any restrictions regarding the flexibility of
production, the process quality nor major changes in production output, energy
variables need to be integrated into the decision system of production planning
and control. Thus, the accurate evaluation of the energy cost savings in relation to
additional costs (incurring due to changes in output quantities caused by energy
efficient production setups) becomes possible.
As it is the case in all approaches of intersection I, the utilization of optimization methods without the visualization of simulation techniques can hardly be
used as an actual stand-alone decision support when following a holistic system
perspective in production planning and control. A realistic presentation of energy
consumption and its dynamics within the production system requires a significant visualization as the pure process description in form of mathematical models
is rather a research topic than industrial practice. The simulation of energy use
without integrated optimization algorithms can be considered as a tool to display
material and energy flows as well as operational machine states during run time.
Due to highly complex and dynamic processes in nowadays production systems,
manual process optimizations carried out by single persons are not goal-oriented
when aiming towards an energy efficient production in all relevant fields of action.
4 State of the Art
parameters in the production, saving opportunities can be realized without influencing the production output negatively. The third category focuses on early
planning phases in production planning. By the evaluation of process alternatives
and the appropriate dimensioning of energy efficient components and machines,
the production design can be influenced right from the beginning. As the third case
is relevant for new planning projects rather than for the optimization of existing
productions, it will not be considered any further in this thesis.
In general terms, the evaluation methods in the approaches all focus on subareas of the production, following one perspective in order to optimize the energy
use. This may lead to incomplete energy policies as well as conflicting goals
within the production and may cause problem shifting from one area to another.
Only by following an integrated view of production systems, considering all interdependencies between the production equipment, process parameters, relevant inand outputs, an appropriate method for assessing the energy consumption can be
established.
Most of the studies have been validated using case studies from the automotive
industry. Often, developed approaches are very case-specific and not transferrable to the production processes of other industries without high efforts. Several
authors criticize that adjustments in production control to reduce energy consumption are only implemented in real industry cases, as long as they do not have a
negative influence on output quantities. Although the main focus is on optimizing the energy use without causing any restrictions regarding the flexibility of
production, the process quality nor major changes in production output, energy
variables need to be integrated into the decision system of production planning
and control. Thus, the accurate evaluation of the energy cost savings in relation to
additional costs (incurring due to changes in output quantities caused by energy
efficient production setups) becomes possible.
As it is the case in all approaches of intersection I, the utilization of optimization methods without the visualization of simulation techniques can hardly be
used as an actual stand-alone decision support when following a holistic system
perspective in production planning and control. A realistic presentation of energy
consumption and its dynamics within the production system requires a significant visualization as the pure process description in form of mathematical models
is rather a research topic than industrial practice. The simulation of energy use
without integrated optimization algorithms can be considered as a tool to display
material and energy flows as well as operational machine states during run time.
Due to highly complex and dynamic processes in nowadays production systems,
manual process optimizations carried out by single persons are not goal-oriented
when aiming towards an energy efficient production in all relevant fields of action.