1.2 Objectives and Work Structure
3
interdependencies in a manufacturing system, a holistic perspective is of high
importance to analyze the total energy consumption in production. A realistic
presentation of the 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.
Using the simulation as the only tool does not lead to the optimization of the
production system. The simulation, however, allows the accurate evaluation of
different variants considering dynamic influences, i.e., time-dependent and stochastic aspects [St+2006, p. 394]. To be able to evaluate optimization potentials
in production processes computer-based, it requires the coupling of the simulation
model with an optimization tool. The simulation of energy use without integrated
optimization algorithms can be considered as a tool to display material and energy
flows as well as machine states during run time. But 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. Therefore, a holistic
approach combining hybrid simulation with automated optimization algorithms is
required to recognize systematic improvements in producing companies.
1.2
Objectives and Work Structure
This thesis focuses on the development of an application oriented and simulationbased procedure to allow for an optimum use of energy resources in manufacturing systems. Firstly, it needs to be examined, which different modeling
approaches can be used to depict the dynamic energy consumption behavior of
production processes and how an application-specific classification of the modeling and simulation approaches is necessary and feasible in practice to depict and
evaluate the energy consumption behavior of production machines. In a second
step, the considered simulation approaches need to be merged with optimization
algorithms to determine the optimum use of energy in production without compromising production flexibility or output amount, nor influencing process and
product quality.
The objective of this thesis is to develop a methodology which allows the
application-oriented and simulation-based optimization of energy efficiency in
production to ensure a comprehensive and steady process quality regarding the
optimal use of the factor energy in the production planning process. The applicability of the methodology is first tested using fictional case studies and subsequently
verified using a practical example.
3
interdependencies in a manufacturing system, a holistic perspective is of high
importance to analyze the total energy consumption in production. A realistic
presentation of the 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.
Using the simulation as the only tool does not lead to the optimization of the
production system. The simulation, however, allows the accurate evaluation of
different variants considering dynamic influences, i.e., time-dependent and stochastic aspects [St+2006, p. 394]. To be able to evaluate optimization potentials
in production processes computer-based, it requires the coupling of the simulation
model with an optimization tool. The simulation of energy use without integrated
optimization algorithms can be considered as a tool to display material and energy
flows as well as machine states during run time. But 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. Therefore, a holistic
approach combining hybrid simulation with automated optimization algorithms is
required to recognize systematic improvements in producing companies.
1.2
Objectives and Work Structure
This thesis focuses on the development of an application oriented and simulationbased procedure to allow for an optimum use of energy resources in manufacturing systems. Firstly, it needs to be examined, which different modeling
approaches can be used to depict the dynamic energy consumption behavior of
production processes and how an application-specific classification of the modeling and simulation approaches is necessary and feasible in practice to depict and
evaluate the energy consumption behavior of production machines. In a second
step, the considered simulation approaches need to be merged with optimization
algorithms to determine the optimum use of energy in production without compromising production flexibility or output amount, nor influencing process and
product quality.
The objective of this thesis is to develop a methodology which allows the
application-oriented and simulation-based optimization of energy efficiency in
production to ensure a comprehensive and steady process quality regarding the
optimal use of the factor energy in the production planning process. The applicability of the methodology is first tested using fictional case studies and subsequently
verified using a practical example.