YORK, PA, UNITED STATES, April 21, 2024 /– A trio of metrology industry veterans with over 100 years of experience have co-authored a guidebook titled “Decision Rule Guidance, 1st Edition 2024,” available for download. The […]
We have all heard this before: Think outside the box! But this is easier said than done. It is especially difficult to notice your own blinders because we all see things from our own point […]
MetroloPy is a pure python package and requires Python 3 and the SciPy stack (NumPy, SciPy, Pandas, and IPython)… MetroloPy can do much more including Monte-Carlo uncertainty propagation, generating uncertainty budget tables, and curve fitting. […]
by Henry Zumbrun What can happen when we use an accuracy specification and assume all the measurements are centered in relation to the specification limits? It is a typical problem in the metrology community, where […]
by Christopher Grachanen Once in a while, during your normal workday, you stumble across a best practice that a client, vendor, supplier or competition has incorporated which really stands out as a superior practice worthy […]
I began my career in Quality Assurance in the Metrology Industry working for a leader in the Global Metrology marketplace. I also worked for a brief stint in the Aerospace manufacturing sector. In my Metrology […]
by Hening Huang This paper is the second one (Part II) in a series of two papers (Part I and Part II) designated to provide practitioner’s perspective on the GUM revision. Part I has discussed […]
by Hening Huang As a practitioner in the field of measurement science, the author strongly concurs in the need for revision of the GUM (Guide to the Expression of Uncertainty in Measurement), as it has […]
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