Sentence examples for quality error from inspiring English sources

Thus, the ideal results may only serve as a perspective of what the suggested method would be capable of if a very high quality error estimate were already available.

Syamal K. Sen, Ravi P. Agarwal and Ghoolam A. Shaykhian compared the four procedures they proposed in (2008) for computing best k-digit rational approximations of irrational numbers in terms of quality (error) and cost (complexity).

Parker [ 43] emphasized this principle by mentioning that the production of high quality, error free spermatozoa is costly and that there will be selection against it if the costs are not equal to or outweighed by the benefits (fertilizing the oocyte).

Vine added that it was not just about recruiting extra staff; they had to have the rights skills and be properly trained if quality error-free decisions were to be made.

For that purpose, manual assembly tasks of 47061 cars at high, moderate and low physical load levels were analyzed with respect to assembly-related quality errors and corresponding action costs during production and on the market.

The results showed that ergonomics high risk issues had 5 8 times as many quality errors as low risk issues and the earlier these were found the less were the action costs.

Still, geometrical constraints limit the concentration to about 2000 suns for mirror quality errors of 5 mr. Optimization of the compensation effect holds potential for improved performance for other concentrator designs.

The action costs for quality errors that were found and corrected on the market were further 12.2 times more expensive to correct compared to actions taken in the factory.

Knowing the performance of manufacturing processes, programs and product lines in real-time can make the difference between catching product quality errors before they ever leave the factory.

eSourced data field transcription errors were also reduced (eSource, 0%; non-eSource, 9%).The use of eSource versus traditional data transcription was associated with a significant reduction in data entry time and data quality errors.

Decisions should intelligently take into consideration not only immediate results but also the cost of poor quality, errors and diagnostic delays [13, 14].