# 105.615 Operations Research This course is in all assigned curricula part of the STEOP.\$(function(){PrimeFaces.cw("Tooltip","widget_j_id_21",{id:"j_id_21",showEffect:"fade",hideEffect:"fade",target:"isAllSteop"});});This course is in at least 1 assigned curriculum part of the STEOP.\$(function(){PrimeFaces.cw("Tooltip","widget_j_id_23",{id:"j_id_23",showEffect:"fade",hideEffect:"fade",target:"isAnySteop"});});

2020S, VO, 2.0h, 3.0EC

## Properties

• Semester hours: 2.0
• Credits: 3.0
• Type: VO Lecture

## Learning outcomes

After successful completion of the course, students are able to

• model (and apply mathematical methods) in typical operational issues such as production planning, supply chains and inventory planning, performance measurement, route planning, decision theory, etc.
• distinguish between simulation models and mathematical models (descriptive versus prescriptive models)
• discuss and apply the fundamentals of graph theory and to prove selected theorems of graph theory (selected on the basis of exemplary proof approaches)
• to explain and apply important algorithms of graph theory
• model stochastic, multi-stage problem formulations in Markov chains
• calculate statistical equilibria of irreducible ergodic markov chains and thus to weigh alternative decisions or anticipated market shares
• choose adequate queuing models and calculate the characteristic measures (such as expected length of the queue) of a queuing system and use it as decision support
• sketch basic concepts, models and methods of game theory
• explain the concepture of the Column Generation Method for large scale LPs (based on the case studies).

## Subject of course

Model-based decision-support, abstraction and modeling, juxtaposition of descriptive and prescriptive models, OR case studies, efficiency and productivity measurement, introduction to queuing theory, and brief portrait of graph theory and game theory.

## Teaching methods

The basic contents and concepts are presented by the head of the LVA and illustrated with the help of examples and case studies, and thus practiced by the students.

## Mode of examination

Written

First meeting on March 4, 2020, 1:10 p.m. FH HS 4

## Course dates

DayTimeDateLocationDescription
Wed14:00 - 16:0004.03.2020 - 11.03.2020FH Hörsaal 4 Operations Research WM
Operations Research - Single appointments
DayDateTimeLocationDescription
Wed04.03.202014:00 - 16:00FH Hörsaal 4 Operations Research WM
Wed11.03.202014:00 - 16:00FH Hörsaal 4 Operations Research WM

## Examination modalities

Written exam at the end of the semester.

## Course registration

Begin End Deregistration end
20.02.2020 14:00 30.04.2020 23:59 30.04.2020 23:59

## Literature

No lecture notes are available.

German