Tec4MaaSEs methodological approach builds upon the Smart Factory Web workflow, adopting 3 steps:
(i) The registration and integration of provided resources, including product assets and capabilities, i.e. what product the assets produce and how they produce, process or transform.
(ii) The encapsulation and selection of the necessary resources to compose the requested service.
(iii) The monitoring, reviewing, and enabling operations management of the composed service (and its selected resources).
The project considers two main actors, Resource Provider and Service Consumer, and the Platform Domain, which is acting as a service broker that mediates a production service between service consumers and service providers.
Steps (i) and (ii) require research and innovation in two areas:
1.Interconnected digital twins supporting reconfigurable value networks for MaaS to address interoperability and standardization challenges and automatically detecting and publishing changes/events.
2. A governance framework for resilient and event-driven MaaS ecosystems, introducing a holistic approach for DT governance in value networks which is addressed from three inter-related views: Sustainability, business governance, data and models governance view
Steps (ii) and (iii) require research in two more areas.
3. Robust, resource-aware optimisation methods, offering a suite for real-time service composition that will not myopically look at the service level but instead will adopt a multi-objective approach, while demonstrating technical robustness of the associated models
4. Explainable analytics for resilient and self-adaptable value networks identify which components of the AI system have weighed in, in terms of optimality for the offered MaaS.
