Operations research relies on mathematical modeling to formulate and to analyze complex decision problems faced by individuals or organizations. OR models and techniques are found at the core of numerous IT tools used in everyday life and in managerial decision support systems, e.g., GPS-based routing systems, airline reservation and pricing software, production planning and scheduling systems, financial investment optimization systems, etc. In order to make a sensible use of OR tools, the manager needs to understand their full potential as well as their limitations. By getting the most out of these tools, companies may be able to develop innovative solutions and to improve their competitive position.
As such, the course directly relates to one of the main intended learning outcomes of the bachelor's programme in business engineering, namely, the ability to use analytical and IT tools in order to address management problems.
The course offers an introduction to some of the most successful models and techniques used in operations research:
linear programming: modeling, simplex method, sensitivity analysis, duality;
integer progamming: modeling, branch-and-bound algorithms;
queueing theory: basic features, arrival and service processes, M/M/c models;
network models; shortest paths, project scheduling.
As time allows, other topics (e.g., simulation) may also be touched upon.
The course is illustrated by numerous examples and applications from logistics, production management, finance, arising in various profit or non-profit service industries.
As such, the course directly relates to one of the main intended learning outcomes of the bachelor's programme in business engineering, namely, the ability to use analytical and IT tools in order to address management problems.
The course offers an introduction to some of the most successful models and techniques used in operations research:
linear programming: modeling, simplex method, sensitivity analysis, duality;
integer progamming: modeling, branch-and-bound algorithms;
queueing theory: basic features, arrival and service processes, M/M/c models;
network models; shortest paths, project scheduling.
As time allows, other topics (e.g., simulation) may also be touched upon.
The course is illustrated by numerous examples and applications from logistics, production management, finance, arising in various profit or non-profit service industries.