Chips JU 2023 RIA MATISSE

Purpose and goal:

Advances in information technology have made industrial systems more intelligent and autonomous, raising demands for correctness, availability, and reliability. Digital twins, virtual representations of systems, help with real-time prediction, analysis, and simulation. The MATISSE project addresses the complexity of developing digital twins by automating their creation, ensuring validation, and developing a toolchain for verification, aiming to enhance efficiency and quality in industrial systems.

Expected results and effects:

The MATISSE project focuses on six objectives: 1) creating a cloud framework to automate Digital Twins (DTs), 2) developing a continuous validation strategy for DTs, 3) building domain-independent DT services for prediction and monitoring, 4) creating demonstrators to showcase practical results, 5) fostering open-source and commercial tool development, and 6) advancing the Digital Industry with an innovative research agenda and work plan.

Approach and implementation:

The MATISSE project follows the Plan-Do-Check-Act methodology for continuous improvement. It ensures smooth project group interactions through DevOps-like strategies. The project identifies requirements, develops methodologies and tools, and validates deliverables in an iterative process. Key work packages (WP) include:

WP1: Use cases and architecture setup WP2: Digital Twin engineering and validation WP3: Verification, validation, and smart prediction services WP4: Integration and use case evaluation WP5: Dissemination and exploitation WP6: Project management.