Prerequisite/Recommended prerequisite for
participation in the module
This module is based on knowledge obtained in 1st Semester in
Supply Chain Configuration
Content, progress and pedagogy of the
module
Learning objectives
Knowledge
- Account for key analytical techniques and methodologies used
for developing decision support systems for supply chain (for
example. econometric methods, optimization, simulation and
heuristics)
- Explain the role of technology enabled decision support in
demand forecasting, sourcing planning, supply chain network design,
capacity planning, network master planning, production planning and
scheduling, inventory management, logistics planning and
distribution planning
- Understand the significance of analytical techniques in supply
chain planning
- Understand how to analyze supply chain processes and identify
opportunities for improvement
- Understand technology requirements and evaluate possible
technology and analytical options for supply chain
planning
Skills
- Map supply chain processes and identify areas for
improvement.
- Evaluate possible technology and analytical options for supply
chain planning
- Design effective technology enabled decision support systems
for efficient supply chains
Type of instruction
The teaching is organized in accordance with the general form of
teaching. Please see the programme cirruculum §17.
Extent and expected workload
Since it is a 5 ECTS course module the expected workload is 150
hours for the student.
Exam
Exams
Name of exam | Supply Chain Technologies |
Type of exam | Written or oral exam |
ECTS | 5 |
Assessment | 7-point grading scale |
Type of grading | Internal examination |