Journal of Computational Physics
A taxonomy of model abstraction techniques
WSC '95 Proceedings of the 27th conference on Winter simulation
Geometric modeling (2nd ed.)
Proceedings of the 30th conference on Winter simulation
WIP evolution of a semiconductor factory after a bottleneck workcenter breakdown
Proceedings of the 30th conference on Winter simulation
A rapid modeling technique for measurable improvements in factory performance
Proceedings of the 30th conference on Winter simulation
Criticality of detailed modeling in semiconductor supply chain simulation
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
How to solve it: modern heuristics
How to solve it: modern heuristics
Response Surface Methodology: Process and Product in Optimization Using Designed Experiments
Response Surface Methodology: Process and Product in Optimization Using Designed Experiments
Local Search in Combinatorial Optimization
Local Search in Combinatorial Optimization
Tabu Search
Simulation with Arena
Learning in Neural Networks: Theoretical Foundations
Learning in Neural Networks: Theoretical Foundations
Controlled simplification of material flow simulation models
Winter Simulation Conference
Proceedings of the Winter Simulation Conference
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Even today, medium-term production scheduling tends to be unsatisfactory in many industrial enterprises because it is usually based on escapist assumptions of fixed lead times and a mere summarising of the capacity supply and demand. These assumptions and the simplicity of the methods applied do not match the complexity of the scheduling problems to be solved. Thus the goals of the scheduling frequently fail to be achieved. Help might be at hand from simulation-based optimisation. Such optimisation, however, causes high computational costs, which will stand in the way of its practical application.This article reports a method of creating reduced simulation models of discrete production processes. The use of such reduced models instead of detailed ones lessens the computational costs considerably and hence makes the application of simulation-based optimisation for medium-term production scheduling possible. The reduction method was subjected to empirical investigation, the results of which are also presented here.