MOC 2025 addresses (further) developments, potentials, aspects, ideas, concepts, models and applications related to AI technologies in the context of management, optimization, configuration and design as well as associated process and system issues. Of particular interest (but not exclusively) are constraint-, rule- and knowledge-based approaches as well as combinations of these with BIG data technologies, GenAI approaches, other AI technologies and/or also with classic methods. The use of quantum computing in the implementation of selected solution approaches and the experience gained in the process are also of interest, for example.The addressed approaches and the associated processes and organization procedures have a very high potential for the intelligent design of urgently needed transformations of a wide range of systems in the economy and society (e.g. EU, states, companies, authorities, etc.). Example domains for this are agile management (local and global) with ever faster changing boundary conditions, the redesign/ reconfiguration and flexible control and monitoring of large supply and delivery networks, the creation and operation of agile, efficient corporate and functional networks as well as the planning and control of a wide variety of systems to achieve targeted goals.
The addressed approaches and the associated processes and organization procedures have a very high potential for the intelligent design of urgently needed transformations of a wide range of systems in the economy and society (e.g. EU, states, companies, authorities, etc.). Example domains for this are agile management (local and global) with ever faster changing boundary conditions, the redesign/ reconfiguration and flexible control and monitoring of large supply and delivery networks, the creation and operation of agile, efficient corporate and functional networks as well as the planning and control of a wide variety of systems to achieve targeted goals.
Key sub-areas here are the appropriate modelling of systems, the transformation to favorable internal representations, the intelligent optimization and reorganization of systems, the planning and control of efficient and sustainable use of resources and the implementation of IT functionalities based on the models created to support the management of the systems addressed in each case.
Contributions are particularly welcome on the following topics:
Concepts, applications and systems, e.g. planning and configuration systems as well as management, decision support and control systems
New, extended or alternative programming and modeling aspects, e.g. using domain-specific languages or multi-paradigm approaches
New methods and use of methods and procedures of artificial intelligence, constraint programming, data science, operations research and their hybrid combination
(Interactive) simulation and optimization systems to support users in operational and/or strategic decisions, e.g. by simulating and evaluating “what-if” scenarios or by presenting alternative solutions
Combination of data analytics with planning, configuration and optimization approaches
Topic-related applications and concepts in specific industries and domains
Aspects of teaching in relation to the topics mentioned
The workshop is intended to give experts, users and interested parties the opportunity to exchange and discuss ideas, approaches, processes and problem solutions in order to ideally develop the basis, impetus and ideas for further research and application activities.
Petra Hofstedt, Brandenburg University of Technology Cottbus-Senftenberg, Germany, hofstedt@b-tu.de
Ulrich John, IU International University of Applied Sciences, Germany, ulrich.john@iu.org
Slim Abdennadher, German International University, Cairo, Egypt
Salvador Abreu, University of Évora, Portugal
Ulrich Geske, University of Potsdam, Germany
Petra Hofstedt, Brandenburg University of Technology Cottbus-Senftenberg, Germany
Ulrich John, IU IU International University of Applied Sciences, Germany
Andreas Kmoch, Toll Collect, Germany
Sven Löffler, Brandenburg University of Technology Cottbus-Senftenberg, Germany
Georg Ringwelski, Hochschule Zittau/Görlitz (anfragen)
Dietmar Seipel, University of Würzburg
Mario Wenzel, Martin-Luther-University Halle-Wittenberg
Armin Wolf, Fraunhofer FOKUS, Berlin