Syllabus

Title
4444 SCPC 3: Supply Chain Planning (Group A)
Instructors
Assoz.Prof PD Dr. Emel Arikan Fichtinger, M.Sc.
Contact details
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
02/08/23 to 02/10/23
Registration via LPIS
Notes to the course
Dates
Day Date Time Room
Monday 05/08/23 08:30 AM - 12:00 PM D2.0.030
Monday 05/15/23 08:30 AM - 12:00 PM D2.0.030
Monday 05/22/23 08:30 AM - 12:00 PM D2.0.030
Monday 06/05/23 08:30 AM - 12:00 PM D2.0.030
Monday 06/12/23 08:30 AM - 12:00 PM D2.0.030
Monday 06/19/23 08:30 AM - 12:00 PM D2.0.030
Monday 06/26/23 09:30 AM - 11:30 AM TC.1.01 OeNB
Contents

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.

 

Content:

  • Supply Chain Planning in the SCM context
  • Demand forecasting: Qualitative and quantitative approaches, 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
Learning outcomes

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
Attendance requirements

Attendance of at least 80% of the classes is necessary to fulfill the requirements.

Teaching/learning method(s)

The course is based on lectures, discussion of assigned readings, cases, and application exercises.

Assessment

The final mark in this course is composed of three parts:

  1. Case studies - group work (30%)
  2. Individual assignments (20%)
  3. Exam (50%)

 

 

 

 

Grading scale:

  • Excellent (1): 90% - 100%
  • 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): min. 5 ECTS credits in a quantitative methods course including linear programming and/or forecasting.

Readings

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Last edited: 2022-11-23



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