Errors elimination

Documentation checks are vital at this stage since you are being judged on your on-time shipment performance. A delay caused by an error in the ASN will jeopardize all your hard work to meet the shipment date. The system that prints the container labels should therefore use the same data that is entered onto the ASN in order to avoid error. Eliminate human transcription errors and you are halfway there. The only other action is making sure that what s in the box is what it says on the label. 

Freedom in process design is greatest at this stage of development, while the cost of error elimination is smallest (see Fig 5.2-3). Therefore, downscaling and extension of laboratory investigations in later phases of development is common practice. Compared to large-scale studies, laboratory work is less expensive by orders of magnitude and less sensitive to mistakes. 

Comparison of the probability for error detection between the multirule procedure and the Levey-Jennings chart having 3s limits shows improved error detection for the multirule procedure. The rule improves the detection of random error and the 22s, 4is, and 10 rules improve the detection of systematic error. Elimination of the lO f rule does not cause much loss in error detection but does considerably reduce the amount of control data that must be inspected thus the simplification may malce the multirule procedure easier to use. The 4]s rule could possibly be elim-... 

Analytical step Type of error Contribution Origin of error Elimination by... 

Standard median and FMH filters have been widely used in non-Gaussian error elimination [21,27]. Standard median filters simply use the middle observation from data in a moving window, whereas FMH filters preprocess the data with FIR filters as discussed earlier. FMH filters are superior to the standard median filters due to their improved ability to preserve temporally localized features, while eliminating errors. However, proper selection of the FIR filters requires knowledge about the maximum duration of the outliers. When such knowledge is available, the length of the FIR filters used can be... 

May have steady-state error Steady-state error eliminated... 

Hsieh M-F, Wang J (2010) An extended Kalman filter for NOx sensOT cross-sensitivity error elimination in Diesel engine selective catalytic application. Proceedings of the 2010 American Control Conference, 3033—3038... 

We describe here the simplified version of the released-node method with Green s function sampling. This version allows large step sizes without step size error, eliminates conditional sampling, and eliminates the use of a guide function. Importance sampling is incorporated by use of variable sample weighting. 

Most of the effort is devoted to avoid introducing errors (i.e. prevent their initial insertion). Techniques such as modularisation are used to avoid errors. Error Elimination ... 

It is, therefore, clear that the threads decomposition links the error analysis process with the qualification process, particularly at steps 1 and 2. However, the role of Features and Primitives begin to play a part in the decomposition process at steps 3 and 4. Their impact on the role and position of testing in the error control process is seen in Step 6 where errors in ascribing a specific behaviour to a Feature/Primitive should be detected and the associated error eliminated. 

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