Sticking to the same routine every day may feel safe, but it won’t drive improvement. Lay the foundation for smarter production, empowering better, data-driven decisions.
Unlock the potential of your production with real-time insights, automated data collection, and seamless integration into your existing IT systems. Streamline operations and reduce standstills with standardized KPIs and intelligent tools that empower smarter, faster decision-making—helping you drive profitability and achieve greater operational efficiency.
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Higher OK Output
Lower Reject Rate
Faster Production Ramp-Up
Improved Efficiency
Faster ramp-up, reduced maintenance.
Cyber Security
Secure machine communication.
Real-time data insights reduce reliance on manual troubleshooting, minimizing effort and supporting all levels of expertise—resulting in smooth operations, smarter decisions, and consistent output.
With standardized interfaces, ensure bidirectional communication between your systems. How much longer can you afford to let inefficiencies hold you back?
Stay informed with real-time insights into your production processes. Are you fully aware of what's happening on your shopfloor?
Quickly identify and address losses, deviations, and production fluctuations. How fast can you respond to production challenges with your current tools?
Take full command of your machine and production lines with a single, centralized user interface. Is your production ready for complete control?
We understand this frustration—because we’ve faced it too. That’s why we’ve developed tools to eliminate the guesswork. With real-time insights, you can take control of your production, resolve issues faster, and make confident, data-driven decisions that drive real results.
performance inefficiencies, data visibility challenges, or the lack of actionable data, enabling smoother operations and better outcomes.
Data driven solutions create maximum efficiency in the rework process. For Knorr-Bremse this is an essential quality control process at their plant on Aldersbach.
Data driven solutions create maximum efficiency in the rework process. For Knorr-Bremse this is an essential quality control process at their plant on Aldersbach. Together with STIWA Group rework was now enhanced to be a self-learning system - with the goal to make rework altogether redundant.
Since 2011 Knorr Bremse builds upon the collaboration with STIWA Group for a structured data-based process analysis with professional data based rework.With AMS analysis-Cl rework another milestone was set in the last year: As s self-learning tool for professional data-based rework, AMS Analysis Cl Rework is integrated in the machine control center “AMS ZPoint-Cl”. “The machine operators thus have access to all error messages and the data from the process analysis directly at the machine.With the knowledge of how faults were solved correctly in the past, they can immediately and rapidly take action with the correct rework actions”, explains Thomas Langthaler, Team Leader Engineering and technical contact person for all Knorr-Bremse plants worldwide. Essential for implementation was a completely uniform structure with a common data base and a user-friendly look and feel, says Langthaler: “During refurbishment of necessary technical structures it became very quickly apparent that the calculation algorithm towards Machine Learning was necessary”, according to Langthaler.
Self-learning system
Until now specially trained machine operators have analyzed possible error sources at the rework station for defective components in the production process. With their years of experience they were able to evaluate whether a delivered component was defective, something was stuck or the lubrication insufficient. The success of this search for causes and the measures taken from it were always dependent on the knowledge of one person. The rework analysis tool automates a majority of these processes and expands the information base for the self-learning system continuously. Along with the consolidated data from the overall system ZPoint-Cl, more and more information is successively available in the future to detect and eliminate the causes for quality deficiencies.
“In the future”, explains Armin Einsenreich, Team Leader Quality Planning in the Unit mechatronic systems at the plant in Aldersbach, “the machine control center, based on all the data at its disposal, can predict when a certain process starts to produce deficient systems. Then measures can be taken in due course.”
Lasting decrease of production costs
The system is running very promisingly. “We expect an improvement of the functional-test-failure-rate by 30 percent from it”, says Gerhard Schwarz, Plant Manager at Knorr Bremse in Aldersbach. What has been successfully launched in Aldersbach will now be implemented throughout the entire corporation. From 2023 on, AMS Analysis-Cl Rework will be rolled out at the location in the Hungarian Kecskemét and at the North American subsidiary Bendix. The data bases of ZPoint-systems on all sites are transferred in a cloud-solution. This way the machine operators in Hungary and North America can draw from the comprehensive practical knowledge from Aldersbach from day one.
Mag. Alexander Meisinger, MSc
HEAD OF CUSTOMER SUCCESS MANAGEMENT
Seit 2011 baut Knorr Bremse auf die Zusammenarbeit mit STIWA Group für eine strukturierte datenbasierte Prozessanalyse mit professioneller…
In order to increase the efficiency of one of its production machines, FESTO has set up an interdisciplinary team including the plant manufacturer,…
Developed by manufacturers with decades of hands-on production experience, this adaptable and scalable software delivers transparency, reduces costs, and supports global standardization—all while maintaining high product quality. Built by experts who truly understand your industry challenges, ensuring it adapts to your needs at any stage.
STIWA Shopfloor Software goes beyond traditional MES solutions by working directly at the machine and control level. It can read PLC data in real time without requiring middleware. This deep integration ensures high-quality data acquisition without delays, making it ideal for analysis and optimization.
Advantage: Customers get a detailed and real-time data foundation, enabling precise production control, error analysis, and process improvements.
STIWA doesn't just focus on visualizing production data; it leverages Artificial Intelligence (AI) and Machine Learning to provide deep insights. The software automatically detects anomalies, bottlenecks, and optimization opportunities, offering actionable recommendations.
Example: AI can predict machine failures, reduce rework defect rates by up to 30%, and adaptively optimize processes.
Advantage: Customers can increase productivity, minimize downtime, and reduce costs through data-driven optimization.
The software is highly flexible and can be integrated into existing production lines (Brown-Field) as well as new, highly connected manufacturing setups (Green-Field). Its modular architecture allows seamless connection to ERP, MES, CAQ, or machine control systems.
Example: Older machines without modern IT interfaces can be integrated via retrofit solutions or IoT adapters, while highly automated systems communicate natively with the software.
Advantage: Companies can digitize step by step without large investments in new machinery while benefiting from modern analysis and optimization tools.
STIWA Shopfloor Software is modular in design, allowing it to adapt to different company sizes and requirements—from single machines to complex, globally connected production networks. Companies can start with selected modules and gradually expand the solution without the need to replace the entire system.
Example: A customer can initially implement real-time monitoring and later add AI-driven optimization or predictive maintenance without requiring a system overhaul.
Advantage: The software grows with business needs, ensuring investment security and keeping companies technologically up to date with continuous advancements.
Data driven solutions create maximum efficiency in the rework process. For Knorr-Bremse this is an essential quality control process at their plant on Aldersbach.
Data driven solutions create maximum efficiency in the rework process. For Knorr-Bremse this is an essential quality control process at their plant on Aldersbach. Together with STIWA Group rework was now enhanced to be a self-learning system - with the goal to make rework altogether redundant.
Since 2011 Knorr Bremse builds upon the collaboration with STIWA Group for a structured data-based process analysis with professional data based rework.With AMS analysis-Cl rework another milestone was set in the last year: As s self-learning tool for professional data-based rework, AMS Analysis Cl Rework is integrated in the machine control center “AMS ZPoint-Cl”. “The machine operators thus have access to all error messages and the data from the process analysis directly at the machine.With the knowledge of how faults were solved correctly in the past, they can immediately and rapidly take action with the correct rework actions”, explains Thomas Langthaler, Team Leader Engineering and technical contact person for all Knorr-Bremse plants worldwide. Essential for implementation was a completely uniform structure with a common data base and a user-friendly look and feel, says Langthaler: “During refurbishment of necessary technical structures it became very quickly apparent that the calculation algorithm towards Machine Learning was necessary”, according to Langthaler.
Self-learning system
Until now specially trained machine operators have analyzed possible error sources at the rework station for defective components in the production process. With their years of experience they were able to evaluate whether a delivered component was defective, something was stuck or the lubrication insufficient. The success of this search for causes and the measures taken from it were always dependent on the knowledge of one person. The rework analysis tool automates a majority of these processes and expands the information base for the self-learning system continuously. Along with the consolidated data from the overall system ZPoint-Cl, more and more information is successively available in the future to detect and eliminate the causes for quality deficiencies.
“In the future”, explains Armin Einsenreich, Team Leader Quality Planning in the Unit mechatronic systems at the plant in Aldersbach, “the machine control center, based on all the data at its disposal, can predict when a certain process starts to produce deficient systems. Then measures can be taken in due course.”
Lasting decrease of production costs
The system is running very promisingly. “We expect an improvement of the functional-test-failure-rate by 30 percent from it”, says Gerhard Schwarz, Plant Manager at Knorr Bremse in Aldersbach. What has been successfully launched in Aldersbach will now be implemented throughout the entire corporation. From 2023 on, AMS Analysis-Cl Rework will be rolled out at the location in the Hungarian Kecskemét and at the North American subsidiary Bendix. The data bases of ZPoint-systems on all sites are transferred in a cloud-solution. This way the machine operators in Hungary and North America can draw from the comprehensive practical knowledge from Aldersbach from day one.
Mag. Alexander Meisinger, MSc
HEAD OF CUSTOMER SUCCESS MANAGEMENT
Seit 2011 baut Knorr Bremse auf die Zusammenarbeit mit STIWA Group für eine strukturierte datenbasierte Prozessanalyse mit professioneller…
In order to increase the efficiency of one of its production machines, FESTO has set up an interdisciplinary team including the plant manufacturer,…
