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Integrated Development 4.0

Periodic Reporting for period 3 - iDev40 (Integrated Development 4.0)

Reporting period: 2020-05-01 to 2021-10-31

Companies aiming to benefit of digitization will have to solve the digitalization challenge by radically thinking on how they can increase their level of digital maturity to integrate their production and development processes within a future digital value chain. To be successful in industrial digitalization requires a tight look at products, ecosystems, and the product life cycle, but also taking seriously the role of digital culture, leadership, skill-sets of the human workforce to implement the digital change.
iDev40 covers the whole value chain to provide sustainable, digital and industrial solutions for integrated ECS development and production, built on common standards and validated by industrial pilots. Tangible results from 18 industrial Use Cases linked to the relevant digitalization facets and evaluating them on a technical and a socio-economic level in operational environments will make the potential impact of digitalization within the European ECS industry visible.
The iDev40 objectives address the following challenges:
• To develop and demonstrate a secure industrial data management infrastructure capturing the complex interactions between production and development, an automatic knowledge base including knowledge validation fostering the need-to-know-paradigm, as well as a semantically-enriched data adopting Deep Learning and AI system.
• To facilitate the virtualization of the ECS value chain, providing humans and machines access to data and knowledge, interlinking engineering and manufacturing teams and databases, fostering easy and intuitive collaboration facilities, and demonstrating a virtual live representation of operational processes through a digital factory twin.
• To enable digitalization across the product lifecycle through a Product Lifecycle Management backbone allowing seamless re-use of information and data across hierarchies and organizations, implementing a digital process management to better integrate engineering and production, as well as showcasing the integration, application, and validation of a digital product twin.
• To treat the digital enterprise as a socio-technical phenomenon, enhancing human capital, structural capital, and complexity capital through implementing a human-centered knowledge base, demonstrating how to successfully manage virtual high-skilled teams in a remote way, and empower employees to interact with highly-automated complex systems.
For the implementation of data and knowledge management systems that intelligently manage data in a large heterogeneous ECS environment, requirements were collected considering the type of data available, the diversity of data and methods currently used to store and manage data in such environments. Furthermore, the methods and tools to gather, store and manage data in these environments were continued to be specified and concepts drafted. Data security procedures and their secure management were further tackled and results achieved to facilitate secure communication methods. In terms of Artificial Intelligence the State-of-the-Art in AI and deep learning in respective fields was examined and in the context of the transformation of unstructured into structured data theoretic as well as applicable research results achieved. To digitize and virtualize the ESC value chain the focus of the research activities laid on visualization tools and multi-factory planning. Valuable findings supporting the development of different concepts for the semiconductor industry like the implementation of ontologies for building the semantic web for important development topics have been achieved. Additionally, the work continued at the defined use cases regarding wafer start processes. Furthermore, the focus laid on data collection for contamination issues in a fab, new automated sorter scenarios, new simulation models for development lots and digitalization that is used to automate administrative processes. Moreover, reliability analysis and yield prediction were performed and the work on electro-thermo-mechnical stress imulations and DCDC chip converts continued. After the refinement phase of the requirements for the SSoT and the Digital Twin implementation and the process analysis the work on the definition of a Software Framework for modelling a Digital Twin started. The work towards a Product Lifecycle Backbone 4.0 included for example a (semi-)automatic evaluation of the data consistency, prototypes of a domain specific language that enable the development of smart service applications. Existing vocabularies were collected and evaluated which will be used to model data dependencies of Digital Twins. An Electronic Design Flow was adapted to ensure consistent data handling across the product lifecycle including an access right system to ensure the IP protection. A draft of a Product Lifecycle Management Process Architecture was developed. A prototype of digital support option like a Virtual Reality collaboration solution and a digital workplace on the shop floor was developed. Digital Twins of a heavy-duty drivetrain test rig but also of a contactor have been developed. The work towards enhancing the innovation capability by a human-centered design of ECS development processes, production systems and value chains focused on defining the current state of required skills, competences and knowledge of workers in digitized systems. After conceptualizing skill management systems and possible training scenarios for employees, demonstrators to enhance the innovation capability of human workers within the ECS value chain have been developed. These address training scenarios, training management, skill management, information assistance systems, knowledge management, smart collaboration, and prospective work system analyses, as well as evaluation concepts of measuring its impact on socio-economic and -organizational factors, and approaches for short development and lead times or zero failures. To demonstrate the effectiveness for the addressed technologies at the smart manufacturing application domain, collaborations between the project partners goes beyond the borders of work packages.
iDev40 developed methods, tools and approaches supporting the digital transformation of the project partners organizations and set them up for the implementation in the respective working environments. Digital solutions were developed and prepared for market introduction. iDev40 addressed thoroughly the collaboration between human and machine and designed successfully the framework conditions for human-machine cooperation. Within this project next to the analysis of different work places in production and development especially business processes and demonstrators were developed to help improve working in highly specialized teams. Regarding the digital transformation, all iDev40 project partners are well aware of this transformation process and the use cases supported the digital transformation for the respective organizations in the context of SSoT, Digital Twins and Digital Culture.
By improving the digitalization efforts of organizations and by innovative and timely ECS solutions the market growth is positively affected and the European position on the world market fortified. The iDev40 project contributed with its evolution of digital processes and open mind-set to strengthen the competitiveness of the participating European companies in the ECS sector.
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