RISKS IN QUALITY CONTROL OF SERIALLY PRODUCED PRODUCTS

2021 ◽  
pp. 60-64 ◽  
Author(s):  
S. B. Danilevich ◽  
V. V. Tretyak
Keyword(s):  
Quality Control ◽  
Measurement Accuracy ◽  
Batch Size ◽  
Control Methods ◽  
Confidence Limits ◽  
Number Of Factors ◽  
The Monte Carlo Method ◽  
Accuracy Of Measurements ◽  
Uncertainty Of Measurements ◽  
Risks Assessment

Product quality control methods must be effective, that is, ensure minimal risks of making erroneous decisions during control. Uncertainty of measurements during control and other factors lead to errors of the 1-st kind (a good product is rejected) or 2-nd kind (the wrong one is mistakenly accepted). The indicators of the quality control of mass-produced products are the risks of the customer and the manufacturer. The accuracy of these risks assessment depends on a number of factors, including the batch size. When developing and certifying control methods, it is proposed to use the upper confidence limits of the indicated risks. It was proposed to find these confidence limits and requirements for the measurement accuracy during control by the Monte Carlo method (simulation). The article discusses examples of determining the reliability of control depending on the accuracy of measurements, taking into account the volume of the batch of products.

Application of infrared spectroscopy and multivariate quality-control methods in PVC manufacturing

2005 ◽  
Vol 554 (1-2) ◽  
pp. 207-217 ◽  
Author(s):  
Lidia Maria Bodecchi ◽  
Marina Cocchi ◽  
Marcello Malagoli ◽  
Matteo Manfredini ◽  
Andrea Marchetti
Keyword(s):  
Quality Control ◽  
Infrared Spectroscopy ◽  
Control Methods ◽  
Multivariate Quality Control

Study on Techniques for Rapidly Testing the Composition of Concrete Mixture

2013 ◽  
Vol 838-841 ◽  
pp. 30-35
Author(s):  
Xiao Bin Sun ◽  
Tian Ling Du ◽  
Bo Tian
Keyword(s):  
Quality Control ◽  
Laboratory Test ◽  
Rapid Detection ◽  
Measurement Accuracy ◽  
Fresh Concrete ◽  
Concrete Mixture ◽  
Quality Problem ◽  
Detection Techniques ◽  
Concrete Quality ◽  
Practical Engineering

With regards to the quality problem of concrete that cant be found out earlier in the quality control, this paper discussed the principle to rapidly detect composition of concrete mixture and analyzed the measurement accuracy of water checker for fresh concrete through laboratory test. Experiments showed that the error in unit cement and unit water measured by instruments is relatively small and able to meet the accuracy requirements. And, the application of rapid detection techniques to the concrete quality control in practical engineering has achieved good results.

scholarly journals Quality Control Methods for Turkey Meat Products

2021 ◽  
Vol 7 (12) ◽  
pp. 92-96
Author(s):  
M. Turdialieva
Keyword(s):  
Mass Spectrometry ◽  
Quality Control ◽  
Infrared Spectroscopy ◽  
Raw Materials ◽  
Meat Products ◽  
Food Products ◽  
Control Methods ◽  
Quality And Safety ◽  
Turkey Meat ◽  
Significant Stage

The article under discussion considers methods of quality control of turkey meat products. The author believes that the quality control of food raw materials and food products is a significant stage in the production of food products. It is important to organize research aimed at improving the quality and safety of turkey meat products, using accurate, rapid, and highly effective methods of infrared spectroscopy and chromato-mass spectrometry to determine its chemical composition to develop methods to determine the correctness of HS codes.

scholarly journals An updated and quality controlled surface mass balance dataset for Antarctica

2012 ◽  
Vol 6 (5) ◽  
pp. 3667-3702 ◽  
Author(s):  
V. Favier ◽  
C. Agosta ◽  
S. Parouty ◽  
G. Durand ◽  
G. Delaygue ◽  
...  
Keyword(s):  
Quality Control ◽  
Mass Balance ◽  
Measurement Accuracy ◽  
Field Measurements ◽  
Spatial Density ◽  
Surface Mass Balance ◽  
West Antarctica ◽  
Surface Mass ◽  
Data Gaps ◽  
The Antarctic

Abstract. We present an updated and quality controlled surface mass balance (SMB) database for the Antarctic ice sheet. We retrieved a total of 5284 SMB data documented with important meta-data, to which a filter was applied to discard data with limited spatial and temporal representativeness, too small measurement accuracy, or lack of quality control. A total of 3438 reliable data was obtained, which is about four times more than by applying the same data filtering process to previously available databases. New important data with high spatial resolution are now available over long traverses, and at low elevation in some areas. However, the quality control led to a considerable reduction in the spatial density of data in several regions, particularly over West Antarctica. Over interior plateaus, where the SMB is low, the spatial density of measurements remained high. This quality controlled dataset was compared to results from ERA-Interim reanalysis to assess model representativeness over Antarctica, and also to identify large areas where data gaps impede model validation. Except for very few areas (e.g. Adelie Land), the elevation range between 200 m and 1000 m a.s.l. is not correctly sampled in the field, and measurements do not allow a thorough validation of models in regions with complex topography, where the highest scattering of SMB values is reported. Clearly, increasing the spatial density of field measurements at low elevations, in the Antarctic Peninsula and in West Antarctica remains a scientific priority.

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