Syllabus

Title
2019 SCA 1: Optimization and Simulation (Group C)
Instructors
Dr. Boualem Rabta, Belma Turan, Ph.D.
Contact details
Boualem Rabta: boualem.rabta@wu.ac.at; Belma Turan: belma.turan@wu.ac.at
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
09/27/22 to 09/29/22
Registration via LPIS
Notes to the course
Subject(s) Master Programs
Supply Chain Analytics - Course 1
Dates
Day Date Time Room
Tuesday 10/04/22 01:00 PM - 05:00 PM LC.-1.038
Tuesday 10/11/22 01:00 PM - 05:00 PM TC.-1.61
Tuesday 10/18/22 01:00 PM - 05:00 PM LC.-1.038
Tuesday 10/25/22 01:00 PM - 05:00 PM TC.3.02
Monday 10/31/22 01:00 PM - 05:00 PM LC.-1.038
Tuesday 11/22/22 01:00 PM - 05:00 PM LC.-1.038
Monday 11/28/22 09:00 AM - 11:00 AM TC.0.03 WIENER STÄDTISCHE

On this page:

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Contents

The course provides knowledge and tools of Optimization and Simulation for problems and challenges encountered in Supply Chain Analytics (SCA).

Topics include:

Part I (Optimization):

  • Network design models
  • Linear programming
  • Integer programming
  • Software tools for optimization (Excel solver, IBM Ilog CPLEX)
  • Other tools for optimization (e.g. heuristics)

Part II (Simulation):

  • Data analysis (Sampling, Estimation, Hypothesis testing)
  • Discrete event simulation
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Learning outcomes

After validating this course students will be able to identify which SCA problems are better tackled with simulation or with optimization. They will also be able to apply advanced techniques to tackle these problems, and to use advanced software to conduct these tasks.

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Attendance requirements

Attendance requirement is met if a student is present for at least 80% of the lectures.

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Teaching/learning method(s)

The course is taught using a combination of lectures, class discussions,homework exercises and in-class assignments.

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Assessment

The grading of this course is based on 3 components, namely, group homework, individual assignements, as well as a final exam.

Details of the assessment:

  • Homework exercises, 30 points (group work)
  • In-class assignments, 20 points (individual work)
  • Final exam, 50 points (individual work)

Grading scale:

  •     Excellent (1): 90% - 100.0%

  •     Good (2): 80% - <90%

  •     Satisfactory (3): 70% - <80%

  •     Sufficient (4): 60.0% - <70%

  •     Fail (5): <60.0%

Prerequisite for passing the course: minimum performance of 40% (20 points) in the final examination.

Remark: Content from bridging course 2148 might be included in the assignments.

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Prerequisites for participation and waiting lists

Students should be acquainted with the main concepts of optimization, probability and statistics.  Students are encouraged to take the bridging course "2418 - Bridging Course in Supply Chain Management: Foundation of Operations Research and Supply Chain Analytics" and review the preparatory material.

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Readings
1 Author: Dimitris Bertsimas and Robert Freund
Title:

Data, Models and Decisions, The Fundamentals of Management Science

(Chapters 1, 2, 3, 7, 9, 10)

Publisher: Dynamic Ideas
Content relevant for class examination: Yes
Recommendation: Reference literature
Type: Book
2 Author: Anderson, Sweeney, Williams, Martin
Title:

An Introduction to Management Science

(Chapter 21)

Publisher: South-Western Cengage Learning
Content relevant for class examination: Yes
Recommendation: Reference literature
Type: Book
3 Author: Frederick Hillier, Gerald Lieberman
Title:

Introduction to Operations Research

Publisher: McGraw-Hill International (HL)
Edition: 9
Year: 2010
Recommendation: Reference literature
Type: Book
4 Author: James R. Evans
Title:

Business Analytics

Publisher: Pearson Education
Edition: 1
Year: 2013
Recommendation: Reference literature
Type: Book
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Availability of lecturer(s)

Boualem Rabta: by appointment boualem.rabta@wu.ac.at

Belma Turan: by appointment belma.turan@wu.ac.at

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Other

Program's website: www.wu.ac.at/master/scm

Last edited: 2022-08-11



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