qs-STAT is a software package designed to evaluate production-relevant quality information statistically and to assess measurement processes and systems. Significant and well-established statistical evaluations provide the basis for the assessment and continuous improvement of processes in industrial production. Furthermore, the standards and guidelines included in the software provide necessary orientation.
The evaluations required in machine and process qualification are based on integrated standards and company guidelines (e.g. BMW, GMPT, Robert Bosch, Volkswagen etc.). There are numerous statistical procedures available identifying the best suitable distribution time model automatically and assigning the data to the respective process model as given in ISO 21747. Using standardised evaluations provides safety and guarantees the reproducibility of results.
The software is available in many different languages making it easier to communicate results to countries speaking a different language.
Visualisation of results
In order not to lose track of the wide variety of results and values, it is important to use suitable graphics, charts and tables.
Clearly understandable and significant graphics illustrate the calculated statistics and this kind of visual support makes it easy for users to identify critical processes quickly. qs-STAT always focuses on clarity to direct the users’ attention immediately to weak points and deviations. Summary graphics are an essential tool for the definition of corrective actions to optimise the process.
Different filters and selection functions help provide you with exactly those pieces of information you need.
SAP interface (QM-STI)
Recording measurement and test data in SAP/R3 QM, qs-STAT is able to evaluate these data in the background. The resulting statistics, graphics and reports are displayed directly in SAP. Users are thus able to combine the advantages of Q-DAS statistics with the application of SAP.
The following functionalities are a perfect extension to the Q-DAS software product qs-STAT:
solara.MP is available in 22 languages. One click is all it takes to switch the language of a specific view. Employees working in different plants all over the world may apply Q-DAS software in their own language.
Q-DAS Form Designer makes it easy to create and modify available report templates. You may apply these templates in any Q-DAS software product. The interaction with M-QIS helps you adapt reports to the specific requirements of your intended recipients. Select from a tool box of texts, statistics, parts data, characteristics data and additional data as well as graphics (qs-STAT graphics and image files in the BMP, JPG, EMF and WMF format) and add links and logical operation formulas. Use drag-and-drop functionalities to position these elements in a report.
3D CAD Viewer
CAD models offer visual support in performing measuring tasks. The integrated reporting system illustrate test results and evaluation results based on a CAD model.
3D CAD providing the basis for test plans
With a test plan available in qs-STAT and measured values recorded, you may assign characteristics to the CAD model after selecting them.
Supporting data recording
Approved as tools for the real-time visualisation of results and SPC alarm control, the tool is now even designed to show characteristic-specific views in the CAD model. It guides the operator perfectly through the measuring task.
Reports including 3D CAD
The CAD models serve their purpose in many fields of statistical analysis; they can even be used in reports. Individual and customised reports refer to the respective CAD model. Since the features/characteristics are allocated to the drawing, the report automatically shows the relevant characteristics in the CAD model together with associated evaluation results.
Functionalities in a web browser
Web solution for Q-DAS software products do not have to be installed on a computer but run on an Internet browser.
Similar to the classical qs-STAT software, it focuses on sample analysis functionalities for machine performance studies and the range of functions required for continuous process capability analysis. Users load the data to be analysed from the Q-DAS database by applying filters and selection criteria. They generate and use statistics, graphics and reports interactively in a web environment.
You may use procella to transfer measurement data directly via serial interface (RS-232). Here is an overview of available interface packages.
The Q-DAS database forms the basis for statistical evaluations in qs-STAT. Only the database makes it easy to compare different information (machines, orders, etc.) and evaluate them automatically in M-QIS Engine.
Transfer of data
Q-DM is typically installed on a server in your network, sometimes even as a service. It monitors directories cyclically storing Q-DAS files. As soon as you store a file in a directory you Q-DM monitors, the systems saves its contents to a Q-DAS database. This process is based on defined rules you adjusted in Q-DM; these rules ensure a clear allocation of measurement information in the database.
You may adjust a wide range of settings, e.g. how to respond to alarms occuring while loading files in the database and store specific information to be considered in subsequent evaluations. The tool is able to generate protocols when a problem occurs while transferring data, e.g. due to a missing network connection or erroneous files and sends them to system administrators by email. The major task of Q-DM Datamanagement is to guarantee a smooth data flow.
In case your data are not available in the Q-DAS data format, you may apply a converter in Q-DM. It converts the foreign format into Q-DAS files and loads them in the database.
SAP QM-STI interface
The “Statistical Data Interface (QM-STI)“ of SAP R/3’s QM module helps you evaluate data that have already been saved in the SAP system in Q-DAS statistical software products.
SAP transfers the data to be evaluated to Q-DAS via QM-STI interface. Now you use qs-STAT to start Q-DAS analyses.
- Sample analysis
- Process capability analysis
- Analysis functionalities