Syllabus
Title
4748 Supply Chain Planning (SCP, Group A)
Instructors
Assoz.Prof PD Dr. Emel Arikan Fichtinger, M.Sc., Dr. Johannes Fichtinger
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
02/13/17 to 02/13/17
Registration at the institute
Registration at the institute
Notes to the course
Subject(s) Master Programs
Dates
| Day | Date | Time | Room |
|---|---|---|---|
| Wednesday | 06/21/17 | 09:00 AM - 12:30 PM | D2.0.038 |
| Friday | 06/23/17 | 09:00 AM - 12:30 PM | D2.0.038 |
| Monday | 06/26/17 | 09:00 AM - 12:30 PM | D2.0.038 |
| Wednesday | 06/28/17 | 09:00 AM - 12:30 PM | D2.0.038 |
| Friday | 06/30/17 | 09:00 AM - 12:30 PM | D2.0.038 |
| Monday | 07/03/17 | 09:00 AM - 12:00 PM | TC.3.01 |
| Friday | 07/07/17 | 09:00 AM - 12:30 PM | D2.0.038 |
The course provides an introduction to the foundations of Supply Chain Planning (forecasting, S&OP, master planning, order fulfilment and available-to-promise, short term planning and distribution planning), with a focus on quantitative aspects of the planning process. The course is designed such that regular interactive teaching sessions run in parallel to a larger case study. The case is introduced in the first session, and all course sessions are designed such that each session contributes to different aspects and questions in the case study. A final presentation of the case results concludes the course.
Content:
- Supply Chain Planning in the SCM context: planning frameworks, SCOR model
- Demand forecasting: Qualitative and quantitative approaches, S&OP, forecast accuracy, managing the forecast process
- Master planning: Level, chase, mixed strategies, application of linear programs for master planning, aggregation in time, product, place, process, etc.
- Demand fulfilment: Distribution planning, detailed demand fulfilment planning, available-to-promise
- Short-term planning: Production planning and scheduling
After successful completion of the module, students will
- Be able to discern and apply appropriate planning techniques to analyse and solve common supply chain planning problems
- Be able to select and apply appropriate demand forecasting techniques for different product characteristics
- Be able to evaluate the application of forecasting techniques to a given set of products and critically discuss their applicability, strength and weaknesses
- Be able to select, apply and evaluate the application of appropriate master planning techniques such as level and chase strategy, and mixed strategy as well as solutions based on linear programs
- Be able to select, apply and evaluate the application of appropriate demand fulfilment and available-to-promise planning techniques
- Be fully aware of the limitations of various supply chain planning techniques in a problem context
- Be able to conduct a real-world based supply chain planning exercise, and to present and critically discuss the findings
- The course follows a bottom up approach: First the development needs in the field are identified through a case study, followed by theoretical presentations, interactive case discussions and exercises
- Lecturers refer to best practices from industry
The final mark in this course is composed of three parts:
- In-class and homework assignments (15%)
- Exam (50%)
- Presentation and written report on DrinkCo case (35%)
Grading scale:
- Excellent (1): 87.5% - 100.0%
- Good (2): 75.0% - <87.5%
- Satisfactory (3): 62.5% - <75.0%
- Sufficient (4): 50.0% - <62.5%
- Fail (5): <50.0%
Prerequisite for passing the course: minimum performance of 40% in the final examination.
Incoming students (exchange programs): min. 5 ECTS credits in a quantitative methods course including linear programming and/or forecasting.
Online registration for incoming students via web form starts on Tuesday January 24, 2017 at 2 pm.
Last edited: 2017-02-13
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