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5 Development of a Simulation-based Methodology …
Parallel to the machine state sequence running in the machine logic, the load
profile of the simulated machines is generated in the energy component. The
information about the completion of the machining process on a part must then
be given back to the production flow component in order to trigger the next steps
of the material flow, such as transferring the part from the machine to a parts
buffer or the next machine accordingly. In principle, every event that occurs in
the production flow component triggers a change of the machine and the energy
state in the other two components (Figure 5.13).
Likewise, the processes in the machine component influence the events of the
material flow. In the machine logic, all steps of processing every individual part
are shown. If the processing time of part x is over, this information is transferred
to the production flow component. Subsequently, part x leaves the machine and
the next part y is brought to the machine for processing (Figure 5.14).
The two components are in a permanent exchange of information through
which actions and reactions in form of events are created. While the lack of
raw material forces the machine to stop producing and switch to an unproductive
state, the change of states initiated by the machine, e.g., in the case of a machine
breakdown, will unlikely interrupt the material flow and can postpone material
flow events (Figure 5.15).
The three sub-models can be combined to form a holistic production model
(Figure 5.16). The energy consumption is closely linked to the machine behavior. The interface that has to be created by the modeler clearly consists of the
assignment of the corresponding energy load profiles to the machine states. The
machine conditions are in turn influenced by the material flow in the production
line. Likewise, the behavior of the machines influences the occurrence of events
in the material flow, such as the failure of a machine. To ensure a smooth interoperability of the sub-models, all interdependencies must be clearly defined and
considered via dynamic parameters, functions, and restrictions in the simulation
model.
One possibility to realize a hybrid production simulation model and to
implement the mentioned interfaces in one software tool is shown in 5.6 in a
prototypical implementation.
5 Development of a Simulation-based Methodology …
Parallel to the machine state sequence running in the machine logic, the load
profile of the simulated machines is generated in the energy component. The
information about the completion of the machining process on a part must then
be given back to the production flow component in order to trigger the next steps
of the material flow, such as transferring the part from the machine to a parts
buffer or the next machine accordingly. In principle, every event that occurs in
the production flow component triggers a change of the machine and the energy
state in the other two components (Figure 5.13).
Likewise, the processes in the machine component influence the events of the
material flow. In the machine logic, all steps of processing every individual part
are shown. If the processing time of part x is over, this information is transferred
to the production flow component. Subsequently, part x leaves the machine and
the next part y is brought to the machine for processing (Figure 5.14).
The two components are in a permanent exchange of information through
which actions and reactions in form of events are created. While the lack of
raw material forces the machine to stop producing and switch to an unproductive
state, the change of states initiated by the machine, e.g., in the case of a machine
breakdown, will unlikely interrupt the material flow and can postpone material
flow events (Figure 5.15).
The three sub-models can be combined to form a holistic production model
(Figure 5.16). The energy consumption is closely linked to the machine behavior. The interface that has to be created by the modeler clearly consists of the
assignment of the corresponding energy load profiles to the machine states. The
machine conditions are in turn influenced by the material flow in the production
line. Likewise, the behavior of the machines influences the occurrence of events
in the material flow, such as the failure of a machine. To ensure a smooth interoperability of the sub-models, all interdependencies must be clearly defined and
considered via dynamic parameters, functions, and restrictions in the simulation
model.
One possibility to realize a hybrid production simulation model and to
implement the mentioned interfaces in one software tool is shown in 5.6 in a
prototypical implementation.