Using the Taguchi paradigm for manufacturing design using simulation experiments
Computers and Industrial Engineering
A tutorial on simulation optimization
WSC '92 Proceedings of the 24th conference on Winter simulation
WSC '95 Proceedings of the 27th conference on Winter simulation
Multicriteria optimization of simulation models
WSC '91 Proceedings of the 23rd conference on Winter simulation
Quality Engineering Using Robust Design
Quality Engineering Using Robust Design
Simulation Modeling and Analysis
Simulation Modeling and Analysis
A GA-based parameter design for single machine turning process with high-volume production
Computers and Industrial Engineering
Simulation modelling as a dynamic operational decision support tool for manufacturing systems
AsiaMS '07 Proceedings of the IASTED Asian Conference on Modelling and Simulation
Redesign of PCB production line with simulation and Taguchi design
Winter Simulation Conference
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The application of computer simulation have been proposed and implemented to solve the problems of variation in integrated manufacturing systems. However, a simulation model only acts as a tool in examining performance. It is essentially a trial and error methodology, and does not directly provide explanations for observed system behaviours. Therefore, in this paper the use of Taguchi's Experiment Design in simulation is studied to solve decision-making problems in integrated manufacturing systems. In particular, we use the case of a steel soakingpit/rolling-mill plant to demonstrate how the approach works. The results reveal that this approach can take into account the evaluation and optimisation of operating conditions in complex systems simultaneously.