System Design with SystemC
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Proceedings of the 35th conference on Winter simulation: driving innovation
Proceedings of the 35th conference on Winter simulation: driving innovation
Discrete optimization via simulation using coordinate search
WSC '05 Proceedings of the 37th conference on Winter simulation
A framework for locally convergent random-search algorithms for discrete optimization via simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
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Tool count optimization is mandatory for an efficiently organized semiconductor factory. This paper describes an efficient heuristic to determine the tool count using the compact fab simulator FabSim Interactive. A combination of the Simulated Annealing algorithm and the knowledge of toolset usage, which is gained by repeated simulation of the factory, results in a fast approach. There are no restrictions concerning multiple products and processes during optimization. A simple cost model (revenue per wafer out minus tool depreciation) yields the objective function to be maximized, tool count values per toolset are the decision variables, and a lot start sequence determines the fab throughput required. Depending on the factory size, optimization results may be available within a few hours of simulation time on a standard PC.