Digital Engineering – The Future of Product Development
Digital Trinity – Digital Model, Digital Thread and Digital Twin
The development of modern products is becoming increasingly complex. Mechanics, electronics, software, and digital services must work together seamlessly throughout the entire product lifecycle. Traditional, document-based development processes are reaching their limits. Digital engineering lays the foundation for end-to-end, model-based, and connected product development. Systems engineering, model-based systems engineering (MBSE), the end-to-end digital thread, configuration and change management, and artificial intelligence connect information, processes, and people into a unified engineering ecosystem. This results in transparent relationships, complete traceability, and a consistent data foundation—from the initial requirement through to product operation.
Digital Engineering with ⁴PEP
Take advantage of our proven solution ⁴PEP for digital engineering!
With the Digital Engineering Platform ⁴PEP, ILC fully implements this concept in SAP S/4HANA. The platform connects the seven value streams of product development with an integrated process engine, end-to-end configuration and change management, and the AI assistant Mayla. This links requirements, system architectures, product structures, bills of materials, manufacturing information, validation data, and service information within a common information model. Existing CAD, ALM, PLM, or ERP systems remain in place as authoring systems and are intelligently interconnected via the Digital Thread. AI supports, among other things, requirements analysis, architecture modeling, impact analyses, traceability, and the automation of knowledge-intensive engineering processes.
Would you like to implement digital engineering in your company?
Benefits:
- shorter development times,
- fewer system breaks,
- complete end-to-end traceability,
- controlled change processes,
- higher product quality and compliance, and
- a future-proof foundation for Digital Twin, Product Memory, and agent-based AI.
This makes digital engineering the foundation of efficient, transparent, and sustainable product development.
