ECTS credits: 6
Lectures: 2
Exercises: 1

Course objective:

Acquire fundamental and learn advanced knowledge about mathematical modelling and optimisation of logistic processes. Acquiring fundamental skills in solving logistic problems by applying software tools.

Course contents:

Elements of logistic processes. Fundamentals of logistic system modelling. Linear programming. Resource allocation problem. Transport issue. Integer programming. Combined integer programming. Distribution network problem. Simulations. Parametric programming and sensibility analysis. Multi-criteria decision-making Software tools.


General: understand the functioning of logistic processes of the supply chain, and adopt the fundamental knowledge about the procedures of modelling and optimisation. Specific: independently describe both logically and mathematically the basic logistics issues, and apply appropriate mathematical methods for their solution.

Learning outcomes:

After having passed the exam the student will be able to: 1. Describe individually, logically and mathematically the basic logistic issues, and select mathematical methods for their solving. 2. Design appropriate mathematical models for the solving of fundamental logistic problems. 3. Apply software tools to solve the basic logistic problems (issues related to resource allocation, transportation and location). 4. Interpret the results of optimization and present obtained solutions. 5. Modify mathematical models with elements and systems of improvement, and evaluate the realized results. 6. Apply technical knowledge to solve the optimisation problems. The aforementioned learning outcomes contribute to the learning outcomes of the study programme: - Present the analysis results and proposals for resolving logistics issues. -Implement the optimization of logistics processes. -Apply computer support in resolving logistics issues.