Zeiss PiWeb is a scalable IT solution for quality data management. You can organize the information flow resulting from Industry 4.0 and therefore enhance the quality of your products and productivity.
The highlights of this system are:
- Scalable quality data management.
- Manufacturer-independent and flexible: supports many data types such as DMO, DFQ, CSV, TXT, PCN and many more.
- Easy generation of even complex report templates.
- Simple and fast knowledge sharing through intuitive reports in real time.
- Interactive access to CAD displays, detailed information and additional data with a single mouse click.
- Extensive statistical evaluations.
- Secure internet access via https connection.
- Modern, high-performance database technology.
Single workstation solutions: Zeiss PiWeb is available in four configurations. Zeiss PiWeb reporting already offers professional reporting and displays the value progression of the last 10 measurements. Zeiss PiWeb reporting plus allows statistical evaluations of up to 1,000 measurements and measuring system analyses.
Networked solutions: For collecting data from several measuring machines and other data sources, Zeiss offers database solutions Zeiss PiWeb sbs and Zeiss PiWeb enterprise. Zeiss PiWeb sbs has been designed for quality data management in measuring rooms and small companies. Zeiss PiWeb enterprise is focused on large companies and is also suitable for multi-site and global data collection.
Access anywhere and everywhere: The Zeiss PiWeb network solutions save quality data and other product-related data on a central server. Via a secure internet connection, this data can be accessed from any location and displayed in the form of reports. This means that quality data from a large number of measuring machines from different manufacturers are available on a global scale — and in real time.
Recognize quality factors: Process data from production can also be processed by Zeiss PiWeb. This makes it possible to analyze the causal relationship between process parameters and quality characteristics. This knowledge will help you, for example, to prevent production errors and increase tool service life.
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