The use of a grey-based Taguchi method for optimizing multi-response simulation problems 论文

2008Engineering Optimization引用 229
Optimal Experimental Design MethodsAdvanced Multi-Objective Optimization AlgorithmsManufacturing Process and Optimization

详细信息

发表期刊/会议
Engineering Optimization
发表日期
2008-05-12
发表年份
2008

关键词

Optimal Experimental Design MethodsAdvanced Multi-Objective Optimization AlgorithmsManufacturing Process and Optimization

摘要

Simulation modelling is a widely accepted tool in system design and analysis, particularly when the system or environment has stochastic and nonlinear behaviour. However, it does not provide a method for optimization. In general, problems contain more than one response, which are often in conflict with each other. This article proposes a grey-based Taguchi method to solve the multi-response simulation problem. The grey-based Taguchi method is based on the optimizing procedure of the Taguchi method, and adopts grey relational analysis (GRA) to transfer multi-response problems into single-response problems. A practical case study from an integrated-circuit packaging company illustrates that differences in performance of the proposed grey-based Taguchi method and other methods found in the literature were not significant. The grey-based Taguchi method thus provides a new option when solving a multi-response simulation-optimization problem.