Course detail
Supply Chain Management
FSI-SRR-A Acad. year: 2025/2026 Winter semester
The subject provides an overview of economics and management terminology, emphasizing operations research models of problems arising in logistical planning.
Supervisor
Department
Learning outcomes of the course unit
Prerequisites
Knowledge of probability and linear programming experience is required.
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
The course is concluded by submitting a final semester project focusing on production/inventory/distribution strategies. The project must include at least 3,000 words and will be presented and defended.
Language of instruction
English
Aims
This subject aims to provide a comprehensive introduction to economics and management, specifically focusing on the financial aspects of supply chains. It leverages case studies to illustrate how general management methods are applied in real-world scenarios. Students will be introduced to dynamic lot sizing inventory models and stochastic and deterministic multi-echelon inventory systems.
Specification of controlled education, way of implementation and compensation for absences
The study programmes with the given course
Programme N-LAN-A: Logistics Analytics, Master's
branch ---: no specialisation, 3 credits, compulsory-optional
Type of course unit
Lecture
26 hours, optionally
Syllabus
Background:
1. Introduction and course overview
2. Basics of performance analysis techniques
Economic Lot Size Models with Constant Demands:
3. Introduction
4. Multi-Item Inventory Models
5. A Single Warehouse Multi-Retailer Model.
Economic Lot Size Models with Varying Demands:
6. The Wagner-Whitin Model.
7. Models with Capacity Constraints
Stochastic Inventory Models:
8. Finite Horizon Models.
9. Infinite Horizon Models
Facility Location Models:
10. p -Median Problem
11. A Distribution System Design Problem
12.-13. Integrated Logistics Models
Computer-assisted exercise
13 hours, compulsory
Syllabus
In the first exercise, the final project will be assigned. Further exercises will follow the topics from the lectures from the previous week. The last two exercises are reserved for project presentations.