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Lecturer
Dr. Romauch Martin
Mode
- Weekly Thursdays 09.00 - 13:00 in PC-Seminarraum 1
- This is a course with “immanentem
Prüfungscharakter”
- Blocked (4 academic hours per week) in the first half
of the semester
- First lecture on March 6, 2014
- Last lecture on April 30, 2014 (Final Exams)
- E-learning platform: Moodle (you
will be added to the moodle course automatically. This will happen
as soon as the registration for this course is closed.)
Objectives
The purpose of this course is to introduce students to mathematical
programming which is extensively used in production and logistical
management. In this course we will cover linear programming (LP) and
prototype applications. Special emphasis will be given to linear
programming modeling and its economic interpretation (duality theorem,
complementary slackness, sensitivity analysis, etc.), and solving
optimization methods using computers.
Students are expected to already know how to deal with
Excel’s optimization module to solve LP problems,
but later a state-of-the-art computer software, XPress-MP,
will be introduced. Excel is fine for solving structurally simple and
small scale problems, but for large scale and complex problems XPress
is incomparably convenient. Therefore students are expected to be
fluent in XPress by the end of this course.
Topics to be covered
- Linear Programming
- Introduction to XPress-MP
- Simplex Method (brief repetition)
- Sensitivity Analysis & its economic
interpretation
- Advanced Modelling Techniques
Literature and References
- Class Notes (electronic copies will be made
available in Moodle)
- Applications of optimization with Xpress-MP,
by Christelle
Guéret, Christian Prins & Marc Sevaux
- An Introduction to Management Science
(quantitative approaches to decision making), by Anderson and Sweeney
- Operations Research, by Hillier
and Liebermann
Prerequisites
- You already need to have passed one of the
introductory courses of our KFK (Production Analysis, Supply Chain
Management or Transportation Logistics) or the course Operations
Management (old KFK)
- Basic computer skills (MS Excel, Solver)
Grading Mode
In order to pass the course you’ll need to
complete the following tasks:
- [35%] Final exam - Part I (theoretical stuff, written, individually, closed-book)
- [35%] Final exam - Part II
(practical stuff, computer-based, individually, closed-book)
- [30%] Homeworks
(theoretical and practical in nature, "Kreuzerlliste" in Moodle)
- will be made available in Moodle, where you also have to announce the assignments that you have prepared.
- at least 50% of all assigned homeworks need to
be prepared
- you will be picked
randomly in order to present your homework at the beginning of class
- in case you fail
to explain what you were supposed to prepare I'll cancel this homework and that of the previous session.
- In order to pass the course you need to
- prepare at least
50% of all assigned homework examples
- achieve at least 50% on both exams (cumulative)
Credits
2 Semesterwochenstunden / 4 ECTS
Language
The course will be held in English.
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