Home > Digitalization for industrial companies – how it works. > Monitoring and trending defects. Trend analysis as an early warning system.
At Testify, we have developed a modular system that enables you to digitally control, document and analyze all types of mobile testing and quality processes.
In this article, we take a closer look at trend analysis in Testify.
To ensure quality in manufacturing processes, monitoring is required throughout the entire development process. Testify’s reporting packages provide you with a meaningful insight into your data situation through interactive, controllable dashboards with individual filtering. This enables you to identify current trends and developments at a glance and make informed decisions based on the data you have collected.
Trend analysis: detailed shortage analysis over time
Identifying deviations and causes of defects at an early stage is an important tool for managing and minimizing risks throughout the entire product life cycle.
The trend analysis shows the number of defects over time that were recorded as part of the defined process stages. It enables you to view detailed KPIs of your defects and deviations and allows an in-depth analysis of defect categories, time history, test objects and associated resolution time.
The trend chart is suitable for use wherever quality measurements take place and you want to see where the trend is heading. For example, within individual process steps such as pre-assembly or for analyzing parts to be manufactured.
Here, too, the more information is collected on a defect, the more detailed the analysis can be.
In the trend chart, the values are shown linearly over time. You can also see this in the chart:
- Trend line as mean value
- Number of defects over time
- Upper control limit – trend line + standard deviation
- Lower control limit – trend line – standard deviation
KPIs
The key performance indicators (KPIs) in the field at the top right of the dashboard show
- Number of deficiency categories
- Number of defects
Filter options
One of the main advantages of our reporting dashboards is that very granular data analysis is possible thanks to the filter options.
You can filter by the following criteria in the trend chart dashboard :
- By period
- According to deficiency category
- By status
- By custom fields (e.g. order number)
- According to test object type
- By test object
The “Defect category” filter criterion can be used, for example, to determine the trend of defects for each individual defect category.
When filtering by “test object”, more detailed information on individual process sections or objects, such as pre-assembly or components, can be found.
List of defects with detailed information
In the lower section of the dashboard, you will see a list of the defects. This list contains the following information:
- URL to the defect
- Deficiency description
- Description
- Deficiency category
- Test object type
- Test object
- Status
- Due date
- Solution time
If a defect’s due date has passed, the entry is highlighted in red. This allows you to see at a glance which defects are still unprocessed.
Frequent use cases of trend analysis
- Analysis of individual sub-areas of the production process according to defects and defect category
- Analysis of components according to defects and defect categories
- Analysis of defects according to other test objects such as order numbers, serial numbers, components and much more.
- Recognize where there is a need for optimization and what type of defects are common
- Data analysis to get to the bottom of why defects in certain areas or the type of defects occur more frequently
- Evaluations of optimization measures implemented as part of the CIP
This reporting offers the opportunity to bring transparency to the processes. There is no general answer as to whether a trend is good or bad. The dashboard offers experts and data scientists in the company an insight into detailed processes in order to initiate further measures.
In order to obtain a holistic picture of defects, it is advisable to take an additional look at the inspection cases over time. These can be evaluated and analyzed in the quality control chart dashboard. This results in a combined analysis of the recording of defects and the number of inspections carried out.
Analysis of inspections and results in the control chart
You can use the quality control chart to monitor and continuously check your digital business processes for defined quality characteristics over a defined period of time as part of the process analysis or risk analysis.
Checks with intervention & warning limits over time: The control chart compares the data recorded from the workflow with the target values, warning and action limits you have defined. A filter in the background ensures that you are only shown test cases that have defined target values, warning and action limits.
Analysis of the measurement results: The detailed analysis of the measurement results with the most important key figures for maximum, minimum, median, average as well as the standard deviation provide you with informative information and statistical parameters about the recorded values of the selected test case.
Distribution of measurement results: The distribution of the validity of your measurement results is divided into three areas. This allows you to see the proportional distribution of the numerical measurement results by intervention, warning and target range at a glance.
Table and KPIs
Colored fields in the table in the columns >OEG and >OWG as well as
The key performance indicators (KPIs) in the field at the top right of the dashboard show
- Number of test cases
- >< Warning limit
- >< intervention limit
In this way, you can make an informed decision as to whether and to what extent countermeasures need to be taken.
Filter options:
You can filter by the following criteria in the quality control chart dashboard :
- By period
- According to checklist
- After revision
- By test case
- According to test object type and test object
- By identification number
To find out more about Testify, please contact us.
Conclusion
In this article, we have gone into detail about two of our integrated dashboards, which provide information about the development of defects and inspection cases and can serve as an early warning system in the context of process optimization. Here too, the more structured and comprehensive the data collection is, the more detailed the analysis can be. Would you also like to analyze trends and developments in quality management in your company? Feel free to contact us!
