Syllabus

Title
0616 Operations Management (OM)
Instructors
Univ.Prof. Mag.Dr. Gerald Reiner, o.Univ.Prof. Dr. Alfred Taudes
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
11/12/19 to 11/14/19
Registration via LPIS
Notes to the course
Subject(s) Master Programs
Dates
Day Date Time Room
Monday 11/25/19 09:00 AM - 12:30 PM D3.0.233
Wednesday 12/04/19 09:00 AM - 12:30 PM TC.1.01 OeNB
Wednesday 12/11/19 09:00 AM - 12:30 PM TC.1.01 OeNB
Wednesday 12/18/19 09:00 AM - 12:30 PM TC.1.01 OeNB
Wednesday 01/08/20 09:00 AM - 12:30 PM TC.1.01 OeNB
Wednesday 01/15/20 09:00 AM - 12:30 PM TC.1.01 OeNB
Wednesday 01/22/20 09:00 AM - 11:00 AM TC.0.03 WIENER STÄDTISCHE
Contents

A detailed syllabus can be found in the downloads section.

The course provides an introduction to the foundations of Operations Management (Process, Quality, Capacity and Supply Chain Management) with a focus on Operations Strategy. The strategic objectives and drivers of operations performance as well as the elements of Total Quality Management, Lean Management and pull and push production systems are introduced. Especially, the challenges for the capacity strategy and the benefits of flexibility with respect to operational and demand risks are discussed.

Learning outcomes
After successful completion of the module, students should be able to:- define, analyze and measure the performance of business processes- explain the relationship between different performance measures- perform capacity analysis of business processes- position a process in the Operations Management triangle by reducing workloads and increasing information- make suggestions for process improvement using the principles of quality management - apply queuing theory to operations management problems - analyze business processes using Rapid Modeler Software - identify strategies for achieving flexibility and determine the appropriate level of flexibility for buffering variability - evaluate the benefits of flexible production lines and flexible network design

Attendance requirements

Attendance is required in all sessions. Absence in one session is tolerated if a reasonable excuse is given before the session. 

Teaching/learning method(s)
Insights from basic Operations Management principles and modelsBest practices from industryExperiental learning using softwareCase examples and case studies
Assessment

In-class assignments (12%)
Case examples (38%)
Final exam (50%) (min. 20 points out of 50 required)

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% in the final examination.

Prerequisites for participation and waiting lists

Incoming students (exchange programs): tba

Readings
1 Author: W. Hopp/M. Spearman
Title: Factory Physics

Publisher: McGraw Hill
Edition: 3rd ed.
Year: 2008
2 Author: J. Van Mieghem
Title: Operations Strategy: Principles and Practice

Publisher: Dynamic Ideas
Year: 2008
3 Author: G. Cachon/C. Terwiesch
Title: Matching Supply with Demand: An Introduction to Operations Management

Publisher: McGraw-Hill
Edition: 3rd ed
Year: 2012
4 Author: G.W. Jordan / S. Graves
Title: Principles on the Benefits of Manufacturing Process Flexibility

Remarks: Management Science, Vol. 41, Nr. 4. 577-594
Availability of lecturer(s)

By appointment: alfred.taudes@wu.ac.at, gerald.reiner@wu.ac.at

Other
program's website: www.wu.ac.at/master/scm
Additional information on MyLEARN.

Tutor: Lara Heinrich (lara.heinrich@wu.ac.at)

Office hour: by appointment (send an email)

Unit details
Unit Date Contents
1

Operations Management: Matching Supply with Demand

Operations and Capacity Strategy

Little´s Law - Linking operational and financial performance

Dealing with Demand Uncertainty

Setting Capacity

HP Case

2

Process Variability

Overall Equipment Effectiveness (OEE)

Process Flexibility

System Flexibility

Lean Tools

MRP, Kanban and CONWIP

Production Smoothing

Cross-training and Plant Layout

Toyota Goal Chasing Method

3

Lean Production

Quality Management

4

Quality Management

Basics of Multi-stage queuing Systems

5

Capacity Management

6

Rapid Modeling

7

Final Exam

Last edited: 2019-10-01



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