Recommended prerequisite for participation in the module

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