U.S. - Germany Cooperative Research: Integration of Statistical and Automatic Control Techniques for Economic Quality Control

美德合作研究：统计与自动控制技术的整合用于经济质量控制

• 批准号: 9513444
• 负责人: Enrique Del Castillo
• 金额: $ 0.6万
• 依托单位: University of Texas at Arlington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-04-15 至 1998-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9513444&HistoricalAwards=false
• 关键词: U.S.; Germany; Cooperative; Research; Integration

This award supports Professor Enrique Del Castillo of the University of Texas at Arlington to collaborate in Quality Engineering with Professor Elart von Collani of the University of Wuerzburg, Germany. The objective of their research is to develop process control procedures that integrate statistical process control and automatic (or engineering) process control techniques for the quality assurance of manufacturing processes. Dr. Del Castillo brings to this joint effort strengths in working with stochastic models that incorporate process dynamics. This is complemented by Dr. von Collani's expertise in the economic modelling of manufacturing processes and in the relevant statistical sampling procedures for quality control. This research will contribute to an emerging field of industrial research: the application of engineering control theory principles to the area of quality control. It should result in a new generation of economically influenced process control procedures for short-run manufacturing systems.

该奖项支持德克萨斯大学阿灵顿分校的Enrique Del Castillo教授与德国武兹堡大学的Elart von Collani教授合作。 他们的研究的目的是制定过程控制程序，以整合统计过程控制和自动（或工程）过程控制技术，以确保制造过程的质量保证。 Del Castillo博士在使用合并过程动力学的随机模型方面发挥了这种共同的努力优势。 冯·科拉尼（Von Collani）博士在制造过程的经济建模以及相关的质量控制统计抽样程序中的专业知识得到了补充。 这项研究将有助于新兴的工业研究领域：工程控制理论原理在质量控制领域的应用。 这应该导致新一代对短期制造系统的经济影响的过程控制程序。