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Path: VVZ SoSe 2024 > List of classes by Academic Institutes and Departments

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No. Type(s) Class Title
4619 PI SCPC 3: Supply Chain Planning (Group B) Präsenz-Modus
Registration via LPIS
from 2024-02-01 15:00 to 2024-02-08 23:59
De-registration via LPIS
from 2024-02-01 15:00 to 2024-04-26 23:59

Instructor(s) Assoz.Prof PD Dr. Emel Arikan Fichtinger, M.Sc.
Subject(s) Master Programs Supply Chain Planning and Control - Course 3
Credit hours 2
Language of instruction English

Detailed schedule
Mon, 2024-04-29 12:30-16:00 TC.3.05 (Map)
Mon, 2024-05-06 12:30-16:00 TC.3.05 (Map)
Mon, 2024-05-13 12:30-16:00 TC.3.05 (Map)
Mon, 2024-05-27 12:30-16:00 TC.3.05 (Map)
Mon, 2024-06-03 12:30-16:00 TC.3.05 (Map)
Mon, 2024-06-10 12:30-16:00 TC.3.05 (Map)
Mon, 2024-06-17 08:30-10:30 P TC.0.01 (Map)
Download schedule (ical) | Subscribe schedule

Further information https://learn.wu.ac.at/vvz/24s/4619

Contact details:
emel.arikan@wu.ac.at
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:

Incoming students (exchange programs): min. 5 ECTS credits in a quantitative methods course including linear programming and/or forecasting.
Last edited: 2023-12-05 13:48
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