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Quality Information Framework - Integrating Metrology Processes



Fiona Zhao, Thomas Kramer, John A. Horst, William G. Rippey, Robert Brown


As defined by major dimensional metrology system users and suppliers, the Quality Information Framework (QIF) is an integrated and holistic set of information models which, if widely adopted, can enable the effective exchange of metrology data throughout the entire manufacturing quality measurement process - from design to planning to execution to analysis. This paper introduces the philosophy and rationale behind QIF, as well as some of its detailed content. QIF is a set of XML data models, which if broadly and correctly implemented in vendor software, will allow quality software and hardware to exchange data freely and effectively. Past standard efforts in manufacturing quality systems have had a variety of shortcomings, which QIF plans to overcome. The data models developed during the first year of QIF project include the QIF XML schema library and the Quality Measurement Results (QMResults) schema. A new modeling method, used to model quality characteristics and measurement features, is able to cover different use cases such as reverse engineering, batch quality measurement, and discrete quality measurement. Correct semantic associations between measurement feature and quality characteristics, and between nominal values and actual values are guaranteed by implementing strong typing using identifiers. The next step of QIF project is to conduct a set of pilot tests to serve as validation and demonstration of the information models.
Proceedings Title
14th IFAC Symposium on Information Control Problems in Manufacturing (INCOM)
Conference Dates
May 23-25, 2012
Conference Location
Bucharest, RO


Quality Information Framework (QIF), manufacturing quality, interoperability, data model, XML schema, measurement features, quality characteristics


Zhao, F. , Kramer, T. , Horst, J. , Rippey, W. and Brown, R. (2012), Quality Information Framework – Integrating Metrology Processes, 14th IFAC Symposium on Information Control Problems in Manufacturing (INCOM), Bucharest, RO, [online], (Accessed July 15, 2024)


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Created May 24, 2012, Updated October 12, 2021