Factors such as globalization, liberalization and improved production factors have been driving
continuous growth in commercial air transport in recent decades. Accordingly, the management
of operations by the airlines’ operations control centers has become increasingly complex and
costly. Since today’s highly competitive airlines are more severely affected by disruptive events
and their effects than ever before, there is an urgent need for better decision support within the
operations control centers to reduce additional costs.
Within the scope of this work, methodological approaches are discussed to extend the decision
support systems, which up to now are mainly a theoretical construct and have hardly been used,
to be established as practical systems. Despite intensive research over the last 30 years, there
have been no major changes from a technological and functional point of view. Primarily responsible
is that assumptions about business practices are regularly simplified and less generalized.
This paper systematically presents the tasks, organizational design and information and communication
systems existing within the operations control centers. The identification of options for
action and the framework conditions as well as the interaction of individual actors are necessary
to understand how functional areas and decision-makers fulfill their daily tasks. Based on these
findings, relevant use cases and requirements are derived.
Especially the variety of possible models and algorithms from the field of mathematical optimization,
that have already been addressed by the research work, are reinvestigated and further
analyzed. This is a necessary step because only universal and flexible approaches can address
different airlines with as few adjustments as possible.
The results of this work are mainly based on the findings of a four-year research project, which
was carried out together with a group of several different airlines. As part of this cooperation,
a practical decision support system based on this work has been developed, which is already in
productive environment in two operations control centers of the research partner. To make it
easy for other airlines within the group to roll out the tool, the optimization logic was decoupled
as far as possible using a business rule management system. | English |