Resolve errors faster and achieve higher first-pass yields in manufacturing
Increasing innovation, customization and digitalization also increases the challenges of maintaining high quality and efficiency in series production. Engineers need to design ideal production processes while considering hundreds of constraints and correcting errors as early as possible to avoid quality issues and recalls.
Explore our use casesTake a look at how SPREAD can help you find and fix production errors faster and produce even more efficiently and with higher quality!
Production
Algorithm based assembly planning
Algorithm based assembly planning
Production
Determine and optimize assembly steps using algorithm-based priority graphs based on the geometry of 3D CAD models.
Correct errors in Production faster
Correct errors in Production faster
Production
Trace back E/E and software errors to their source more quickly and minimize rework costs and effort in highly efficient production lines.
Rework and root cause insights
Rework and root cause insights
Production
System managers often lack a clear view of rework levels, relying on manual, error-prone reports. Our product dashboards offer real-time, data-driven insights, enabling timely issue detection, improved tracking, and better production control.
Change Management in Production
Change Management in Production
Production
In Production, tracing changes across dependencies is key to efficiency. Without it, errors and delays increase. Our solution provides end-to-end traceability, integrating data to display and prioritize changes for better decision-making.
Upskilling & Knowledge Management in Production
Upskilling & Knowledge Management in Production
Production
Production workers face steep learning curves due to outdated manuals and inconsistent training, leading to errors and high costs. Our solution integrates real-time training into workflows, reducing errors, shortening ramp-up times, and cutting training costs with virtual or hybrid options.
Production
Algorithm based assembly planning
Algorithm based assembly planning
All Domains
Sequence Planning
Determine and optimize assembly steps using algorithm-based priority graphs based on the geometry of 3D CAD models.
Correct errors in Production faster
Correct errors in Production faster
All Domains
Error Management
Trace back E/E and software errors to their source more quickly and minimize rework costs and effort in highly efficient production lines.
Rework and root cause insights
Rework and root cause insights
All Domains
Action Tower
System managers often lack a clear view of rework levels, relying on manual, error-prone reports. Our product dashboards offer real-time, data-driven insights, enabling timely issue detection, improved tracking, and better production control.
Change Management in Production
Change Management in Production
All Domains
Change Management
In Production, tracing changes across dependencies is key to efficiency. Without it, errors and delays increase. Our solution provides end-to-end traceability, integrating data to display and prioritize changes for better decision-making.
Upskilling & Knowledge Management in Production
Upskilling & Knowledge Management in Production
All Domains
Knowledge & Upskilling
Production workers face steep learning curves due to outdated manuals and inconsistent training, leading to errors and high costs. Our solution integrates real-time training into workflows, reducing errors, shortening ramp-up times, and cutting training costs with virtual or hybrid options.
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Solve E/E and software errors during R&D up to 9x times faster - with SPREAD Error Management
In 2020, several global automotive OEMs experienced a costly recall due to a minor software error in a vehicle's E/E system. This defect affected the seatbelt warning function, leading to millions in damages and weeks of delays as engineers traced the root cause without a unified error management system. The production of thousands of cars was delayed, illustrating the critical need for improved error management during the R&D phase. This scenario could have been entirely avoided with an integrated solution.
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