Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Scheduling Algorithms
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Simulation optimization: a review, new developments, and applications
WSC '05 Proceedings of the 37th conference on Winter simulation
Simulation based scheduling system in a semiconductor backend facility
Proceedings of the 38th conference on Winter simulation
Scheduling jobs on parallel machines with setup times and ready times
Computers and Industrial Engineering
Scheduling: Theory, Algorithms, and Systems
Scheduling: Theory, Algorithms, and Systems
Scheduling algorithms for a semiconductor probing facility
Computers and Operations Research
Proceedings of the Winter Simulation Conference
One solver for all - a generic allocation concept for planning and shop floor control
Proceedings of the Winter Simulation Conference
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The main idea of the presented new approach is to join a discrete event simulation (DES) and mathematical programming techniques (i.e. mixed integer programming, MIP) for optimization of complex manufacturing processes. Thereby, a DES model allows a detailed problem description. For a target oriented optimization several capacity allocation problems are solved by a MIP solver, reducing the degrees of freedom in the DES model. As an example atypical parallel machine scheduling problem arising in semiconductor industry was chosen. Different process constraints like machine dedications, setups, auxiliary resources and processing time dependences are discussed -- advantages and disadvantages of simulation-based and exact scheduling approaches are drafted. The investigated optimization goals comprise the reduction of total tardiness and setups efforts as well as a balanced machine utilization. Based on real manufacturing data of a wafer test area this approach is evaluated.