Experimental Design and Statistical Methods for the         Improvement of Quality and Productivity
{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}
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The project concerns the role of statistical design,                       modeling, and analysis in quality engineering.  Because                         industrial experimentation is usually expensive, emphasis is                    given to techniques and strategies which minimize experimental                  effort, and maximize information gained from analysis of results.               Central topics are: reduction of variation; designing products                  robust to transmitted variation and to environmental variation;                 modeling control processes to achieve better understanding of the               roles and possible conflicts between statistical process control                (SPC) and automatic process control (APC); developing bases for                 choosing standards; and data-based prediction of possible future                upsets.
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{'Name': 'University of Wisconsin-Madison', 'CityName': 'MADISON', 'ZipCode': '537151218', 'PhoneNumber': '6082623822', 'StreetAddress': '21 North Park Street', 'StreetAddress2': 'Suite 6301', 'CountryName': 'United States', 'StateName': 'Wisconsin', 'StateCode': 'WI', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'WI02', 'ORG_DUNS_NUM': '161202122', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF WISCONSIN SYSTEM', 'ORG_PRNT_DUNS_NUM': '041188822'}
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[{'Code': '1269', 'Text': 'STATISTICS'}, {'Code': '1463', 'Text': 'INTEGRATION ENGINEERING'}, {'Code': '1464', 'Text': 'ESD-Eng & Systems Design'}]
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