MOC 2025 - 16th Workshop on AI-based Management, Optimization and Configuration
September 24-26, 2025
at
colocated with IntDig 2025 and
WLP 2025
Call for Papers
The 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.
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 (but not exclusively) 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.
Submitting contributions
Authors are invited to submit long papers (no longer than 15 pages)
or short papers (no longer than 6 pages) or papers for the planned
brainstorming session (2 pages).
Submissions must be unpublished original work and not submitted for
publication elsewhere.
However, work that already appeared in informally published workshop
proceedings may be submitted too. All submissions must be in PDF
format using the Springer LNAI Style.
All accepted papers will be published in a technical report of the DECLARE conference.
As for previous events of Declare, it is planned to publish
selected papers in post-conference proceedings volume in the
Springer Lecture Notes in Artificial Intelligence (LNAI) series.
Submission should be done using
EasyChair
(→ Submit).
Due Dates
- submission of papers: June 15
- author notification: July 14
- final version: August 4
Organisation
- Petra Hofstedt, Brandenburgische Technische Universität Cottbus-Senftenberg, hofstedt@b-tu.de
- Ulrich John, IU International University of Applied Sciences, Germany, ulrich.john@iu.org
Program Commitee
- 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 International University of Applied Sciences, Germany
- Andreas Kmoch, Toll Collect, Germany
- Sven Löffler, Brandenburg University of Technology Cottbus-Senftenberg, Germany
- Andreas Schutt, CSIRO Data61, Australia
- Dietmar Seipel, University of Würzburg, Germany
- Georg Ringwelski, University of Applied Sciences Zittau/Görlitz
- Mario Wenzel, Martin-Luther-University Halle-Wittenberg
- Armin Wolf, Fraunhofer FOKUS, Germany
Imprint