Topics are business informatics
(modeling, systems and IT-management), software engineering,
artificial intelligence and
intelligent systems (esp. knowledge-based scheduling).
My 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.
Intelligent IT service management is
around managing computer centers.
- Intelligent Scheduling
within this area my 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
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.
- Scheduling4Green (ongoing): Scheduling approaches are
developed that help to reduce the power consumption e.g. in the
- Vertical Data Integration for reactive scheduling (ongoing ):
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