Design of Experiments
vidara offers a variety of statistical methods and tests and is a tool for process improvement. Users benefit from an intuitive user interface and appealing graphics supporting a quick interpretation of evaluation results. vidara is designed for users of qs-STAT and solara.MP looking for a reasonable extension providing evaluation options with respect to improvement projects.
Design of experiments is a tool for analysing cause-and-effect relationships between factors and responses and for optimising products and processes. A well-structured acquisition of data plays a major role.
- Intuitive user interface to create individual experimental designs
- Appealing and significant graphics of results
- Optimisation of several responses
The analysis of variance and regression supports you in adapting mathematical models to cause-and-effect relationships between factors and responses.
- Excellent model designs
- Various designs for analysis of variance
- Formula editor
- Mixed effects
- Hierarchically nested models
- Unbalanced data
- Visual model diagnostics
- Cook’s distance, leverage values and residuals
Reliability analyses check whether a product meets its requirements under specific conditions over time. vidara helps users to plan lifetime analyses, evaluate data collected in an experiment and shows the results in graphics.
- End-of-life test
- Censoring (type I, type II and hybrid censoring schemes)
- Sudden death test
- Eckel procedure for field failure
- Success run tests
The following functionalities are a perfect extension to the Q-DAS software product destra:
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.
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.
- Design of experiments
- Regression analysis and analysis of variance
- Lifetime analysis