Browse articles on machine-power analytics technology below

Sample size for confidence intervals on proportions

Sample size for confidence intervals on the proportion (and ppm) using machine powered algorithms

The BIS.Net Team The BIS.Net Team

Knowing the proportions of some occurrence over all possible occurrences is important in countless applications. A politician would like to know what proportion of voters in his electorate will vote for him. A market research manager would like to know what proportion of customers are highly satisfied with after sales service. A Quality Assurance manager would like to know what proportion of faulty products are returned....

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Statistical Calculators - Calculator Icon for confidence intervals

Robustness of Distribution Optimized X-Bar Charts (or How and why a standard X-bar chart can fail with perfectly normal data)

The BIS.Net Team The BIS.Net Team

So how can normally distributed data be so much out of control. The individual data is normal, the sampling distribution is normal. The standard deviation of averages approaches the standard deviation of individuals divided by the square root of the subgroup size as the subgroup size becomes large. In this instance the subgroup size was 25 which can be considered large. One other possibility....

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About Change Analysis

Confidence Intervals for proportions

Dr Juergen Ude BIS.Net Team

Inferences about proportions are needed in a large variety of situations. Examples of questions asked by analysts are....

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About Change Analysis

Process Performance or Process Capability Analysis?

Dr Juergen Ude BIS.Net Team

One school of thought suggests that Process Performance should only be performed during Phase I of SPC applications and Process Capability during phase II. The reasoning follows Dr. Walter Shewhart’s assertion that an out-of-control process cannot be used to predict Process Capability. During Phase I the process is out-of-control and hence Process Performance analysis is more appropriate. During Phase II the process has been bought....

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About Change Analysis

About Change Analysis - A modern alternative to Shewhart Control Charts

Dr Juergen Ude BIS.Net Team

Change Analysis is used to detect changes in chronological ordered data. Using machine power algorithms, combined with statistical significance testing, changes in the process average, standard deviation and slopes can be rapidly detected. The power of the technology can be seen in a cigarette industry case study. Several years were spent....

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Time to replace Shewhart Control charts with Change Analysis

SPC - Classical versus Machine Powered Algorithms

Dr Juergen Ude Dr Juergen Ude

SPC Charts were introduced by Dr. Walter Shewhart in the 1920s, based on six years of an investigation to "develop a scientific basis for attaining economic control of quality of manufactured product through the establishment of control limits to indicate at every stage in the production process from raw material to finished product when the quality of product is varying more than is ....

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Time to replace Shewhart Control charts with Change Analysis

Machine-Learning

Dr Juergen Ude Dr Juergen Ude

Machine learning has recently become popular to the extent that it has received a somewhat mythical status, as is the norm with the latest ‘fads’. Historically there have been many ‘fads’ of which, TQM, Kaizen, JIT, 6 Sigma, Analytics, AI are some examples. All have had a positive influence but at the same time, all have not attained the hyped-up benefits. Many applications have failed, and many have succeeded....

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About Change Analysis

Machine Power and Fuzzy Decision making applied to Surveys

Dr Juergen Ude Dr Juergen Ude

Considerable academic research has been performed on Survey Analysis, under the topics of Categorial Analysis and Contingency Tables. Much of the technology originated between 50 to 300 years ago and can be considered out-of-date. The extensive research to this point in time has shown that there are many grey areas in the theory which have resulted in what amounts to band-aid solutions to cope with the various contingencies. Unfortunately, band-aids come off....

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Since 1988, we've specialized in the development of quality information systems and data analysis technologies for many of the world's largest manufacturing corporations in 35 countries. Our solutions have been implemented throughout the manufacturing chain, representing the front-running solution as chosen by our customers for delivering product quality excellence to international standards. In addition, we have developed online machine-powered analytical solutions for the health care, sharemarket and political sectors.

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