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First of all there is a need to build a formal model of a manufacturing configuration.
By applying the rules obtained, the existing PN model can reconfigure into a new one for the goal manufacturing configuration.
Second it has to be rather easy to derive the models associated to the manufacturing configuration changes (reconfiguration) from such an initial model.
To respond rapidly to the highly volatile market, the emerging reconfigurable manufacturing systems (RMS) have brought forward two challenging issues, namely, how to build rapid a formal model of an initial manufacturing configuration and how to yield the goal model from the existing one along with manufacturing configuration changes (reconfiguration).
The optimal manufacturing configuration for a lot size of 1,000 doses/lot is to run 10 lots/year using two automated cL-120 units/lot for the final (4th) stage of cell expansion.
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The method compares changes in activity diagrams of the existing and goal manufacturing configurations and converts them into net rewriting rules of INRS.
In this method, activity diagrams of Unified Modeling Languages version 2 (UML 2) are used to describe manufacturing configurations, firstly; then the sub-activity diagrams are transformed into PN sub-models; finally, the PN sub-models are automated synthesized into a full model by the approach of INRS.
In this chapter, an overall architecture of cloud computing based manufacturing resources configuration is proposed to realize the full sharing, high collaboration, and flexible configuration of manufacturing resources.
Decisions involving robust manufacturing system configuration design are often costly and involve long term allocation of resources.
In Laser-based Manufacturing, the configuration of process parameters aims to maintain quality measures within specific boundaries and it is obtained through experimentation.
This possibility may change the decision processes and manufacturing system configuration, calling into question the existing decision methods in strategic, tactical and operational levels.
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