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The current paper tackles the problem of managing the uncertainties during the execution of predictive schedules in a dynamic environment. The dynamic environment in question is represented by a simulation model – connected to a production scheduler system – with flexible modelling capabilities. The paper addresses the simulation module of the proposed architecture highlighting its main functionalities and advantages, compared to former simulation-based solutions. By applying the proposed architecture, which constitutes a coherent part of a digital enterprise approach, the solution methods for stability-oriented rescheduling can be thoroughly tested and analysed. An evaluation of several scenarios of the rescheduling threshold and the timing of rescheduling are also presented in an industrial case-study.
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Pfeiffer et al. (2008) studied this question.
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