The Uncertain Enterprise: Achieving Adaptation through Digital Twins and Machine Learning
by Professor Tony Clark, Engineering & Applied Science Computer Science, Aston University
Abstract: Modern Enterprise Systems are no longer able to operate in a certain world. Such systems must be deployed and maintained in an ever-changing ecosystem and must adapt their goals and operating processes in order to be effective. It is increasingly challenging to be certain about requirements during enterprise system development. This talk proposes that we need new technologies and approaches for the design, development and deployment of modern enterprise systems so that the process is both economic and effective. Simulation, in the form of a Digital Twin can be used to help design, maintain and transform systems where interaction with the real-world is uneconomic or infeasible. Machine Learning can be used to achieve adaptable systems where the requirements are uncertain or where the system must adapt to changes in its ecosystem or its goals. The talk will outline a vision and conceptual approach based on Digital Twins and Machine Learning to improve enterprise systems and will set out challenges for the research community in order to realise this vision.
Bio: Tony Clark is a Professor and Deputy Dean (Education) in the College of Engineering and Physical Science at Aston University. He has experience of working in both Academia and Industry on a range of software projects and consultancies. While at Marconi Research Ltd (1985-1994) he worked in both Software Engineering and Knowledge Based Systems, and was responsible for designing systems for recognising aircraft behaviour, fusing sonar data, and for designing and implementing an AI Toolkit, the first of its kind in the UK. He has worked on languages for Object-Oriented specification and design including contributing to a range of Industry standards (UML 2.0, MDA, QVT, MOF). He co-founded a spin-out company selling UML-based meta-tools and consultancy to a number of blue-chip companies including BT, BAES, BSkyB and Citibank. His recent work addresses the issue of supporting decision making and uncertainty in enterprise systems.
Tony is an editorial board member of the Journal of Software and System Modelling, the Journal of Enterprise Modelling and Information Systems Architectures and the Journal of Object Technology, has edited several special issues including IEEE Software and SoSyM, and was co-chair of the MODELS conference in 2011. He is PC Chair of the Innovations in Software Engineering Conference for 2021.
Industrial Digital Environments in Action: The OMiLAB Innovation Corner
by Dr. Robert Woitsch, Managing Director at BOC
Dr. Robert Woitsch is managing director of BOC Asset Management GmbH and responsible for Innovation- and Knowledge Management. He is involved in innovation projects, mainly funded by the European Commission, in the area of knowledge management, Industry 4.0 as well as cloud computing since 2000.
His project portfolio contains typically between 2-5 Innovation Projects; whereas currently he is involved in three H2020 projects and two Austrian projects in the domain of energy efficiency and digital twin technology for Industry 4.0.
He acts as a speaker and reviewer in scientific conferences and for funding organisations. Dr. Robert Woitsch is also active in customer consultancy projects, in the domain of knowledge and risk- management.
Results are published at about 50 conference publications, some journals and book chapters, mainly in the area of knowledge management and conceptual modelling.
Since 2012 he is responsible for ADOxx.org, a world-wide acting Open Innovation Community that has about 4.300 developers and community members, 37 Universities and research institutions that collaborate in this community in the domain of conceptual modelling.
In 2019, he built the BOC OMiLAB Innovation corner and hence became active member of the world-wide OMiLAB initiative that is coordinated by the German non-profit organisation OMiLAB NPO. After internal setup of the Innvoation Corner, he triggered workshops for digital transformation and academic research and teaching with and for the OMiLAB Innovation Corner for the domains of Digital Engineering, Artificial Intelligence, Digital Transformation mainly in the domain of Industry 4.0.
The goal is to bridge the market-driven needs with the open ideas, novel solutions and innovations for a market-driven and academic sound digital transformation.