The use of a grey-based Taguchi method for optimizing multi-response simulation problems
作者： Yiyo Kuo , Taho Yang , Guan-Wei Huang
DOI: 10.1080/03052150701857645
关键词: Engineering 、 Nonlinear system 、 Taguchi methods 、 Multi response 、 Systems design 、 Mathematical optimization 、 Simulation optimization 、 Integrated circuit packaging 、 Simulation modelling 、 Engineering drawing 、 Grey relational analysis
摘要: Simulation modelling is a widely accepted tool in system design and analysis, particularly when the or environment has stochastic nonlinear behaviour. However, it does not provide method for optimization. In general, problems contain more than one response, which are often conflict with each other. This article proposes grey-based Taguchi to solve multi-response simulation problem. The based on optimizing procedure of method, adopts grey relational analysis (GRA) transfer into single-response problems. A practical case study from an integrated-circuit packaging company illustrates that differences performance proposed other methods found literature were significant. thus provides new option solving simulation-optimization
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