The original research proposal Determining a cost effective method of reporting uncertainty in dimensional metrology to meet ISO 17025 requirements using Integrated Sciences Group Uncertainty Analyzer software and Measurement Training software from WorkPlace Training Stauff, A. (2000), was created for an earlier course at CCSU. At the time of the original proposal, it appeared that this research would provide useful information to internal and external customers of Angrave Metrology & Supply Company of Bethlehem Connecticut.
One of the characteristics of the Masters in Industrial Technology Program at CCSU is the consistent policy to encourage students to conduct research or projects that are either pertinent or useful to their regular vocations. This policy was utilized in the conduct of the original research proposal. IT 595 is designed to impelement the plan created in the first class. A great deal of experience has been gained since the original plan that has resulted in a refocus of the research to better meet the current needs of the marketplace.
Prior to the broad acceptance and implementation of the ISO 9000 family of standards, Uncertainty as applied in dimensional metrology had not received a great deal of emphasis in the general manufacturing world. With the standards widespread use, other standards have evolved as have manufacturing processes that have increased the demands on dimensional metrology.
Among the increasing demands and areas of emphasis are calibration of metrology tools. Standards like ISO/IEC 17025, General Requirements for the Competence of Calibration and Testing Laboratories require the reporting of Uncertainty in calibrations. The ISO 17025 standards are required by many manufacturers to be followed by personnel or calibration labs conducting services for them.
Customer interviews and experience over the last one and one half years have clearly show a wide disparity in the understanding and implementation of calibration. Rather than focusing on the specifics of the cost effectiveness of the calculation of uncertainty for an dimensional calibration lab, I have widened the scope of this research to provide more useful information to a larger audience. In order to try and achieve that goal I have written this booklet, Calibration Confusion, in hopes of spreading useful information collected from a wide variety of sources to the actual people that use the tools.