htw saar QR-encoded URL
Back to Main Page Choose Module Version:
emphasize objectives XML-Code


Operations Research II

Module name (EN):
Name of module in study programme. It should be precise and clear.
Operations Research II
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Industrial Engineering, Bachelor, ASPO 01.10.2013
Module code: WIBASc-525-625-FÜ14
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
1V+1U (2 hours per week)
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
Semester: 5
Mandatory course: no
Language of instruction:
Will be announced at the beginning of the semester: oral examination resp. wriiten examination

[updated 13.09.2018]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

WIBASc-525-625-FÜ14 Industrial Engineering, Bachelor, ASPO 01.10.2013 , semester 5, optional course
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
30 class hours (= 22.5 clock hours) over a 15-week period.
The total student study time is 90 hours (equivalent to 3 ECTS credits).
There are therefore 67.5 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
WIBASc455 Business Informatics / Operations Research

[updated 11.02.2020]
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Daniel F. Abawi
Prof. Dr. Daniel F. Abawi

[updated 11.02.2020]
Learning outcomes:
After successfully completing this module, students will be able to:
_        identify and use different methodologies for solving LPs
_        implement mathematical models for different LPs using the Microsoft Excel Solver application
_        question the suitability of LP modeling with regard to its problems
_        identify the relationship between problems in business management practice and methods of operations research and, name possible solution methods
_        characterize the complexity of LPs or optimization problems

[updated 13.09.2018]
Module content:
Based on the obligatory course "Operations Research", students will become acquainted with other topics in Operations Research, as well as concepts for solving these problems.
1.        Dynamic optimization (based on warehousing problems)
2.        The duality of LPs
3.        Decision tree procedure (especially branch-and-bound)
4.        Use of IT applications to solve LPs or general operations research problems
5.        Extended use of the Microsoft Solver optimization tool

[updated 13.09.2018]
Teaching methods/Media:
Sildes, projector, interactive exercises, blackboard, lecture notes

[updated 13.09.2018]
Recommended or required reading:
_        Domschke, W. / Drexl, A.: Introduction in Operations Research; 8. Auflage, Springer Verlag, 2011
_        Gohout, W.: Operations Research _ Einige ausgewählte Gebiete der linearen und nichtlinearen Optimierung; 4. Auflage, Oldenbourg Wissenschaftsverlag, 2009
_        Domschke, W. / Drexl, A. u.a.: Übungen und Fallbeispiele zum Operations Research; 7. Auflage, Springer Verlag, 2011
_        Zimmermann, W. / Stache, U.: Operations Research _ Quantitative Methoden zur Entscheidungsvorbereitung; 10. Auflage, Oldenbourg Wissenschaftsverlag, 2001

[updated 13.09.2018]
[Sat Apr 20 15:26:05 CEST 2024, CKEY=woria, BKEY=wi2, CID=WIBASc-525-625-FÜ14, LANGUAGE=en, DATE=20.04.2024]