One-machine rescheduling heuristics with efficiency and stability as criteria
Computers and Operations Research
Interating simulation based scheduling with MES in a semi-conductor fab
Proceedings of the 30th conference on Winter simulation
Evaluation and comparison of production schedules
Computers in Industry - Special issue on advances in computer integrated production in honour of professor C.L. Moodie's retirement
Automatic simulation model generation for simulation-based, real-time shop floor control
Computers in Industry
Dynamic rescheduling that simultaneously considers efficiency and stability
Computers and Industrial Engineering
Enterprise scheduling: hybrid and hierarchical issues
Proceedings of the Winter Simulation Conference
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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.