- Dean of studies of School of Computing Science, Business
Administration, Economics, and Law
- Professor in Business Informatics, System Analysis and
University website (in German), Systemanalyse
und -optimierung group website,
Computer Science of the CvO University of Oldenburg.
- Scientific director at the OFFIS research
- Speaker of the special
interest group "Planning/ Scheduling and Configuration/ Design"
within the German Gesellschaft für
- Academic director of Berufsakademie
Oldenburg at the IT and
Business School Oldenburg (IBS)
- Reviewer for HICSS, ICS, AIA, KI, BIS, ...
- Visiting Research Fellow at Singapore Institute of Manufacturing
- Head of Computer Center of the CvO University of Oldenburg
Topics are business informatics
(modeling, systems and IT-management), software engineering,
artificial intelligence and
intelligent systems (esp. knowledge-based scheduling).
The research focuses on intelligent scheduling
and intelligent IT service management.
- Intelligent Scheduling
covers modeling and solving scheduling problems mainly by using
Artificial Intelligence approaches and has a long tradition
since 1987. The research focuses on intelligent scheduling
within supply chains
(multi-site scheduling) including the modeling of different
scheduling problems, the solving of
scheduling problems using AI methods and the development of
software systems including
graphical user-interfaces for scheduling applications.
Application areas are production,
transport, projects, staff scheduling and others.
The German research is centered in the
special interest group on
planning/ scheduling and configuration/ design within the
I am the speaker of this SIG.
Additional information in German.
- Intelligent IT service management
is around managing computer centers. Optimal/ intelligent
management of IT services (e.g. large application systems or
computer centers) also named adaptive computing is in the focus.
Here topics like intelligent monitoring and control of virtual
systems are investigated.
See also publications
- Project scheduling (ongoing): investigating strategies to be
used in project and multi-project scheduling, especially in
- Visualization of scheduling strategies(ongoing): how to
visualize the algorithms and strategies used in scheduling. The
Visualization can be used in blended learning formats.
Strategies are e.g. meta-heuristics, evolutionary algorithms,
constraints, fuzzy logic, swarm intelligence.
- Scheduling4Green (ongoing): Scheduling approaches are
developed that help to reduce the power consumption e.g. in the
- Vertical Data Integration for reactive scheduling (<2012):
in reactive scheduling it is necessary to provide the events
that affect the scheduling environment. It is investigated which
are the important data and how these can be selected and used on
several hierachical scheduling levels.
- COSS (2006 - 2010): On the basis of the results from the MUST
and AMPA project cooperating scheduling systems are
investigated. This includes agent based cooperation in
multi-site scheduling environments (e.g. supply chains) as well
as specific scheduling approaches in specific scheduling domains
within the supply chain.
- PEP (2003 - 2008): The main goal of this project is the
development and comparison of scheduling approaches for
workforce scheduling mainly in retail and medical services.
- AMPA (1998 - 2002): Within AMPA (Agent-based Multi-Site
Planning and Scheduling Application Framework) an agent-based
platform-independent system for scheduling tasks within a
distributed supply chain architecture (including production,
transport, storage) was developed.
- SSWB (1994 - 2001): The Scheduling Systems Workbench (SSWB)
intends to support the development of scheduling systems. It
combines software engineering knowledge with specific knowledge
about building scheduling systems to provide a toolbox for
building scheduling systems.
- MUST (1994 - 2002): The MUST (Multi-Site Scheduling System)
project dealt with the problem of coordinating distributed
scheduling systems to reach some global goals. The system
combines global and local scheduling activities on several
scheduling layers. Predictive as well as reactive scheduling is
- MARTIN (1993 -1998): In the MARTIN project an multi-agent
system was developed that supports reactive scheduling.
- GAP (1992 - 1996): GAP combines Genetic Algorithms and
Constraint Programming to support the solution of combinatorial
optimization problems. Scheduling is one of the possible
- META-PLAN (1990 - 1992): In META-PLAN so called meta-knowledge
about scheduling is used to describe (using a language called
HERA: heuristics for representation of scheduling knowledge) and
select scheduling strategies.
- MEDICUS (1990 - 1993): MEDICUS is a scheduling system to be
used in the heart surgery of a hospital. It supports scheduling
of operation theaters and care sections.
- PSY/ REAKTION (1989 - 1991): The system PSY supports the
scheduling personal in discrete manufacturing processes of a
fittings company. It focuses on predictive scheduling. The
system REAKTION focuses on reactive scheduling and realizes a
manual or automatic rescheduling due to typical disturbances in
- PROTOS (1988 - 1993): Within the
EUREKA-Projekts PROTOS a knowledge-based system for scheduling
process orientied production in the chemical industry was