In Work Package 1 (WP1), led by TUG, the primary objectives were to conduct an ecosystem analysis, develop technical specifications, and integrate the framework for capturing factory owner requirements with ALICIA tools. These objectives were successfully achieved through the completion of a use case exploration, the identification and documentation of requirements, the development of architecture for the whole ALICIA platform, and the implementation of the framework.
For Work Package 2 (WP2), under the leadership of IMT, the goals included developing AI engine specifications, preparing relevant datasets, and building and fine-tuning the AI engine. Significant progress was made in this area with the definition of sub-requirements, the generation of necessary datasets, and the successful construction and training of the AI engine.
In Work Package 3 (WP3), led by LMS, the focus was on specifying APIs, implementing the Digital Shadow (DS) API, and conducting tests and validation. The project team accomplished these tasks by defining the necessary requirements, developing and implementing the DS API, testing it with simulated data, and integrating it with middleware to transform it to a Digital Twin (DT) for real-time validation.
Work Package 4 (WP4), led by ECI, aimed to translate system requirements into action, develop Asset Administration Shells (AAS), and create adaptors. The team effectively met these objectives by defining the system requirements, developing AAS models, and creating and testing the necessary adaptors and middleware.
Under the guidance of INTRA, Work Package 5 (WP5) focused on the design integration, extension of services, and implementation of connectors for the marketplace. The team succeeded in defining the requirements, implementing the connectors, and integrating the AI engine with the marketplace, thus enhancing its functionality. The goal is to create an online marketplace for second-hand production resources, which uniquely integrates DS/DT data sharing and the AI matchmaking engine. This marketplace not only facilitates the efficient exchange of second-hand resources but also supports sustainable practices in the industry.
Work Package 6 (WP6), led by COMAU, is dedicated to testing tools, scaling up for demonstrations, and evaluating and defining post-project activities. This work package included the validation of the ontology and the AI engine, the execution of small-scale and industrial demonstrations evaluation of the project results..
Work Package 7 (WP7), led by YAGHMA, aimed to ensure ethical and sustainable innovation and prepare for the commercial uptake of project outcomes. The team conducted ethics audits and life cycle assessments (LCA), developed business models, designed a human-centric training kit, and researched relevant standards to support the project's objectives.
Finally, in Work Package 8 (WP8), led by TUM, the focus was on project management and communication. The team successfully ensured the overall implementation of the project, managed data effectively, and carried out comprehensive dissemination activities to communicate the project's results.