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In the approach presented in this paper, maintenance activities are planned by a long-term analysis of process data.
Furthermore, an approach for disturbance prediction based on a nonlinear discrete event simulation is presented.
The force feedback provided may include factors like workspace limitations or collisions.
The presented approach follows a paradigm that is different from conventional approaches as well as from previous VR-based concepts: It focuses on providing support for complex subtasks of the NC programming process, and aims at deriving this support from technological and kinematical boundary conditions.
To improve the performance of the manufacturing system the model describes general starting points.Regarding the precision of machining processes, online distributed monitoring and local elaboration of information provide the means to intervene on process parameters so as to adapt to conditions changed after completion of planning activities.