The factory diagnosis diagram: An efficient tool for quality control

2008 ◽  
Vol 106 (7-8) ◽  
pp. 56-62
Author(s):  
Dieter Dengel ◽  
Helmut Fischer ◽  
Hans-Peter Vollmar
Keyword(s):  
Quality Control ◽  
Efficient Tool

scholarly journals SILVER: an efficient tool for stable isotope labeling LC-MS data quantitative analysis with quality control methods

2013 ◽  
Vol 30 (4) ◽  
pp. 586-587 ◽  
Author(s):  
Cheng Chang ◽  
Jiyang Zhang ◽  
Mingfei Han ◽  
Jie Ma ◽  
Wei Zhang ◽  
...  
Keyword(s):  
Quality Control ◽  
Quantitative Analysis ◽  
Stable Isotope ◽  
Isotope Labeling ◽  
Stable Isotope Labeling ◽  
Control Methods ◽  
Efficient Tool

scholarly journals Development of a GUI for automating quality control of dose calibrators using Python

2021 ◽  
Vol 319 ◽  
pp. 01020
Author(s):  
Meryeme Bellahsaouia ◽  
Mohammed Rabie Bricha ◽  
Omaima Essaad Belhaj ◽  
El Mahjoub Chakir ◽  
Hamid Boukhal ◽  
...  
Keyword(s):  
Quality Control ◽  
Correction Factors ◽  
Efficient Tool ◽  
Accuracy Test ◽  
Uncertainty Of Measurements ◽  
Determining Factors ◽  
Instrument Response ◽  
Linearity Test ◽  
Geometry Test ◽  
Repeatability Test

Quality control of dose calibrators is essential to evaluate the accuracy of the instrument response. In this work, a GUI (Graphical User Interface) has been developed to facilitate performing and recording quality control tests of dose calibrators. The interface is capable to automate several tests which include routine checks, accuracy test, linearity test, reproducibility test, repeatability test, concordance MBq/mCi test, and geometry test. In principle, the program computes correction factors that should be applied to minimize the uncertainty of measurements and the determining factors for success or failure of each test, then visualizes the results as tables and curves into a pdf file. Therefore, this interface can be considered as an efficient tool for performing quality control tests of dose calibrators thought it is still unable to offer the correction factors for the geometry test without experiment which will be achieved by integrating Monte Carlo simulation into the GUI.

Health communication ethics and CDC quality-control guidelines for information

2003 ◽  
Vol 118 (3) ◽  
pp. 193-196 ◽  
Author(s):  
Jeffrey W McKenna ◽  
Terry F Pechacek ◽  
Donna F Stroup
Keyword(s):  
Quality Control ◽  
Health Communication ◽  
Communication Ethics

Metacognitively guided retrieval and report (META-RAR): Quality control processes in recall

2009 ◽  
Author(s):  
Morris Goldsmith ◽  
Larry L. Jacoby ◽  
Vered Halamish ◽  
Christopher N. Wahlheim
Keyword(s):  
Quality Control ◽  
Control Processes
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