Creating a flexible, simulation-based finite scheduling tool
Proceedings of the 29th conference on Winter simulation
Efficient simulation/optimization of dispatching priority with “fake” processing time
Proceedings of the 29th conference on Winter simulation
Effective implementation of cycle time reduction strategies for semiconductor back-end manufacturing
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
Determining optimal lot-size for a semiconductor back-end factory
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Factory scheduling: simulation based scheduling using a two-pass approach
Proceedings of the 35th conference on Winter simulation: driving innovation
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
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We analyzed the effect of a number of controllable input parameters on cycle time distribution and other output variables in a complex semiconductor backend manufacturing system, using a data driven, discrete event simulation model. A validated model was used as the base case and the effects were quantified against the base model to analyze the relative merits and sensitivity of each of these input variables. Input variables that are analyzed include lot release controls, heuristic scheduling rules, machine up time, setup time, material handling time, product flow, and lot size. We have used actual data from a major semiconductor back-end site for our analysis and showed the impact of lot release scheduling on cycle time distribution.