Syllabus
Title
5017 Supply Management (SM, Group A)
Instructors
Univ.Prof. Mag.Dr. Gerald Reiner, Assoz.Prof PD Lena Silbermayr, Ph.D.
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
02/12/19 to 02/18/19
Registration via LPIS
Registration via LPIS
Notes to the course
Subject(s) Master Programs
Dates
Day | Date | Time | Room |
---|---|---|---|
Tuesday | 02/26/19 | 09:00 AM - 12:30 PM | D2.0.038 |
Tuesday | 03/05/19 | 09:00 AM - 12:30 PM | D2.0.038 |
Tuesday | 03/12/19 | 09:00 AM - 12:30 PM | D2.0.038 |
Tuesday | 03/19/19 | 09:00 AM - 12:30 PM | D2.0.038 |
Tuesday | 03/26/19 | 09:00 AM - 12:30 PM | D2.0.038 |
Tuesday | 04/02/19 | 09:00 AM - 12:30 PM | D2.0.038 |
Thursday | 04/11/19 | 01:30 PM - 03:30 PM | TC.0.02 Red Bull |
The course provides an introduction to the foundations of Sourcing and Supply Management. Strategic sourcing is discussed as an integral part of operations strategy. The benefits of outsourcing based on the total cost of ownership and on the term-structure of supply relationships are discussed. The terms of the relationship and its management over time is considered, focusing on different types of formal supply contracts.
After successful completion of this course, students should be able to:
- evaluate outsourcing decisions and alternative types of supply relationships
- select suppliers (single vs. multiple sourcing, dual sourcing, local vs. global sourcing)
- determine the optimal way of cooperation (formal contracting or informal supplier scorecard, centralized vs. decentralized control)
- design supply contracts (vendor managed inventory, buy-back, quantity discounts, option contracts, revenue sharing, quantity flexibility contracts)
- select an appropriate inventory policy (base stock, service level, supplier lead time)
- understand quick response with (limited or unlimited) reactive capacity
- check the state of deliveries (tracking and tracing, global positioning systems, RFID)
Attendance of at least 80% of the classes is necessary to fulfill the requirements.
Insights from basic Operations Management principles and models, best practices from industry, experiental learning using software, case examples and case studies
Individual assignments incl. class participation: 20%
Group assignments (case examples and case studies): 30%
Final exam: 50%
Grading scale:
- Excellent (1): 90% - 100.0%
- Good (2): 80% - <90%
- Satisfactory (3): 70% - <80%
- Sufficient (4): 60% - <70%
- Fail (5): <60%
Prerequisite for passing the course: minimum performance of 20 points in the final examination.
Incoming students (exchange programs): min. 5 ECTS credits in basics of optimization and probability.
Last edited: 2019-01-09
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