C4.5: programs for machine learning
C4.5: programs for machine learning
Knowledge-based event control for flow-shops using simulation and rules
Proceedings of the 40th Conference on Winter Simulation
Scheduling Algorithms
A mesoscopic approach to modeling and simulation of logistics processes
Proceedings of the Winter Simulation Conference
Simulation-based adaption of scheduling knowledge
Proceedings of the Winter Simulation Conference
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Today simulation is essential when researching manufacturing processes or designing production systems. But in the field of manufacturing, simulation can not only be used for purposes of research or design, it can also be utilized by flow control systems in order to make better and faster decisions. In this paper we focus on real-time scheduling in a special kind of flexible flow shop systems. These consist of production stages, which represent groups of machines doing the same work, but working at different speeds. Flow control in these flexible flow shop environments with uniform machines is exceedingly complex and it is even more complex when uncertainties are taken into consideration. For this reason we develop an adaptive scheduling heuristic, utilizing both simulation and artificial intelligence in order to make globally good decisions without causing noticeable manufacturing delays.