Module Handbook

  • Dynamischer Default-Fachbereich geändert auf WIW

Module WIW-BWL-OPR2-M-2

Operations Research II (M, 3.0 LP)

Module Identification

Module Number Module Name CP (Effort)
WIW-BWL-OPR2-M-2 Operations Research II 3.0 CP (90 h)

Basedata

CP, Effort 3.0 CP = 90 h
Position of the semester 1 Sem. in SuSe
Level [2] Bachelor (Fundamentals)
Language [EN] English
Module Manager
Wendt, Oliver, Prof. Dr. (PROF | DEPT: WIW)
Lecturers
Moeini, Mahdi, Dr. habil. (WMA | DEPT: WIW)
Area of study [WIW-WIN] Business Information Systems and Operations Research
Reference course of study [WIW-82.21-SG] B.Sc. Business Studies
Livecycle-State [NORM] Active

Courses

Type/SWS Course Number Title Choice in
Module-Part 		Presence-Time /
Self-Study 		SL SL is
required for exa. 		PL CP Sem.
1V+1U WIW-BWL-OPR2-K-2
Operations Research II
P 30 h 60 h - - PL1 3.0 SuSe
  • About [WIW-BWL-OPR2-K-2]: Title: "Operations Research II"; Presence-Time: 30 h; Self-Study: 60 h

Examination achievement PL1

  • Form of examination: written exam (Klausur) (75-90 Min.)
  • Examination Frequency: each semester
  • Examination number: 32334 ("Operations Research II")

Evaluation of grades

The grade of the module examination is also the module grade.


Contents

From [WIW-BWL-OPR2-K-2] Operations Research II:
Lecture Operations Research 2:
  • Stochastic Processes
    • Queueing theory, Simulation of stochastic processes
  • Heuristics
    • Problem search methods (A*-Algorithm), local search methods, Simulated Annealing, Genetic Algorithms
  • Nonlinear Optimization
    • Unconstrained and constrained nonlinear problems and models, Convex optimization, Karush-Kuhn-Tucker-conditions, lagrangian method
    • Quadratic optimization (Wolfe’s Algorithm), approximation methods (Golden Section, Gradient Method),
    • Barrier methods, Penalty methods

Exercises Operations Research 2:

  • Applying the taught algorithms
  • Presenting assignments
  • Tutorials

Competencies / intended learning achievements

Successful completion of this module enables students to:
  • Understand the possible difficulties of a problem.
  • Discuss about the advantages and disadvantaged of different algorithms.
  • Understand the algorithms and use them to solve problems.
  • Categorize optimization problems and their corresponding solution methods.
  • Modify the existing methods in order to adjust them for special structures.
  • Provide mathematical models for well-structured operational decision problems.
  • Create graphical representation of the problems.
  • Suggest new solutions and discuss about the quality of alternative solutions.

Literature

From [WIW-BWL-OPR2-K-2] Operations Research II:
  • Hamdy A. Taha: Operations Research - An Introduction, 10 Aufl. (Global Edition), Pearson 2017.
  • Müller-Merbach: Operations Research - Methoden und Modelle der Optimalplanung, 3. Aufl., München: Vahlen 1973.

Slides with in-depth references for further reading will be made available.

Exercise materials will be provided.

Requirements for attendance (informal)

None

Requirements for attendance (formal)

None

References to Module / Module Number [WIW-BWL-OPR2-M-2]

Course of Study Section Choice/Obligation
[CHE-82.B41-SG#2020] B.Sc. Chemistry with Focus Economics [2020] Module der Wirtschaftswissenschaften (Wahlpflichtmodule) [WP] Compulsory Elective
[CHE-88.707-SG#2020] M.Sc. Business Chemistry [2020] Grundmodule der Wirtschaftswissenschaften [WP] Compulsory Elective
[WIW-82.21-SG] B.Sc. Business Studies Basics in Management and Business Administration [WP] Compulsory Elective
[WIW-82.789-SG] B.Sc. Business Studies with Technical Qualifications Basics in Management and Business Administration [WP] Compulsory Elective
[WIW-82.177-SG] B.Sc. Business Administration and Engineering specialising in Chemistry Business and Management II [WP] Compulsory Elective
[WIW-82.178-SG] B.Sc. Business Administration and Engineering specialising in Electrical Engineering Business and Management II [WP] Compulsory Elective
[WIW-82.176-SG] B.Sc. Business Administration and Engineering specialising in Computer Science Business and Management II [WP] Compulsory Elective
[WIW-82.179-SG] B.Sc. Business Administration and Engineering specialising in Mechanical Engineering Business and Management II [WP] Compulsory Elective
[WIW-82.175-SG] B.Sc. Business Administration and Engineering specialising in Environmental and Process Engineering Business and Management II [WP] Compulsory Elective
Module-Pool Name
[MV-MBBWL-MPOOL-6] Wahlpflichtmodule Maschinenbau mit Betriebswirtschaftslehre