
There are fundamental differences between transactional business processes, such as order processing, and engineering processes, such as product or software development, which are widely characterized as knowledge-centric work.
The idea-to-offering value stream of a product or service is characterized by many iterations, feedback loops, cross-discipline synchronizations and even increased tool automation, but the process is still driven by humans. Furthermore, development of software-intensive products continues beyond Start of Production (SOP) and extends into actual end-of-life (EOL) many years later.

A Model-based approach for engineering processes
While some organizations describe their engineering processes in documents, other leading engineering companies have transitioned to a model-based process landscape optimized for knowledge-centric work.
This approach has been realized using Stages in automotive, aerospace, medical device, transportation and other engineering-driven industries.
Explore the unique Stages features optimized for engineering processes along the whole process lifecycle.
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Model
Create process models instead of static pictures:
- Model human-friendly processes structured by a WHO-WHAT-WHEN-HOW-WHY process-metamodel.
- Safely build large process landscapes, variants and tailored instances through modular process architecture with clearly defined interfaces.
- Improve process consistency by automatically validating modeling guidelines.
White Paper: Safer Deployment of Automotive Innovations
Ready to put Stages to work for you?
Join a demo today to learn how you can leverage Stages to support your whole process journey from initial modeling to integrated process execution at a large scale.
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