Small Grant for Exploratory Research: Knowledge Based Parameter Design System for Off-Line Quality Control

小行星9416666 本研究的重点是开发质量控制的建模工具，结合田口方法和统计学的一些方面。 该工具的预期用户是设计工程师。 该技术是基于参数设计。 参数设计涉及并需要深入的工艺知识以及进行详细的统计实验设计和分析以确定关键工艺参数的能力。 因此，本研究还涉及开发一个原型知识库专家系统与串联结构，包括一个知识库和算法库，以优化所得到的设计。 有了知识库，用户可以实现参数设计，而无需进行详细的统计实验设计和随后的分析。 开发的知识库系统参数设计可以弥合田口方法和文献中提出的替代方法之间的一些方法差异之间的差距差距。 参数设计的成功实施可以减少质量损失。 它可以提高设计工程师的生产力，他们没有统计背景和资源来进行严格的综合统计实验设计。 这一优势在并行工程环境中尤为重要，因为在这种环境中，对设计的快速响应时间是非常理想的。

9416666 Okogbaa This research is focused on the development of modeling tools for quality control that combines some aspects of Taguchi approach and statistics. The intended users of the tool are design engineers. The technique is based on parameter design. Parameter design involves and requires deep process knowledge and the ability to carry out detailed statistical experimental design and analysis to identify the critical process parameters. Thus, the research also involves the development of a prototype knowledge base expert system with tandem architecture that consists of a knowledge base and an algorithmic base to optimize the resulting design. With the knowledge-base in place, a user can implement parameter design without engaging in detailed statistical experimental design and the ensuing analyses. The developed knowledge-base system for parameter design can bridge the gap between some of the methodological differences between Taguchi approach and some to the alternative approaches proposed in the literature. The successful implementation of parameter design can lead to a reduction in quality losses. It can enhance the productivity of design engineers who do not have the statistical background and resources to undertake the rigors of comprehensive statistical experimental design. This benefit is particularly crucial in a concurrent engineering environment where fast response time to design is highly desirable.