Environmental Models
- Credits: 4
- Ending: Examination
- Range: 2P + 2C
- Semester: summer
- Year: 2
- Faculty of Economic Informatics
Teachers
Included in study programs
Teaching results
Upon successful completion of the course, students will acquire the following knowledge:
- basic knowledge of environmental and economic processes that respect environmental requirements,
- knowledge of modeling in distribution and production logistics, in the supply chain process and in the deployment of models,
- basic knowledge of the application of optimization models in various economic and environmental areas.
Upon successful completion of the course, students will acquire the following skills:
- ability to use basic model approaches in both economic and economical-environmental processes,
- based on the set conditions, appropriately formulate the problem in economic processes and supplement it with an environmental aspect and then propose a suitable solution.
Upon successful completion of the course, students will acquire the following competencies:
- practical skills and knowledge associated with the management of economic processes about the environmental aspect.
- knowledge in the environment of optimization with the application of methods and algorithms in the modeling of production processes, logistics processes, data analysis.
Indicative content
1. Environmental aspects in economic processes. Optimization of economic processes. Goal setting and prioritization.
2. Circular economy and circular economy. General principles and specific tools of mathematical modeling of economic and ecological systems.
3. Eco-eco approach. Aggregation of target criteria. Multi-criteria decision making. Optimization processes and their modification. Evaluation of eco-efficiency of models.
4. Circular economy and circular economy. Product life cycle and waste management. Product design.
5. Reverse logistics. Green logistics.
6. Environmental modeling in distribution logistics. Models of transport.
7. Environmental modeling in the procurement and supply process.
8. Environmental modeling in production logistics.
9. Deployment of models in environmental modeling. Modeling of consumption of renewable and non-renewable resources.
10. Modeling in waste management and the role of distribution and transport.
11. Agro-ecology and industrial ecology. Models of air pollution and water pollution.
12. Economic and legislative motivational tools to support the objectives of environmental policy, and climate protection.
13. Human and environmental models, global trends and their modeling. Global environmental and demographic trends.
Support literature
1. Metódy logistiky prepravy, rozmiestňovania a rozvrhovania, (Aplikácie matematických modelov v jazyku Python), Ivan Brezina – Juraj Pekár – Pavel Gežík, Bratislava : Letra Edu, 2020
2. Teória grafov pre ekonómov, Ivan Brezina – Pavel Gežík, Bratislava : Letra Edu, 2018
3. Modelovanie reverznej logistiky - optimalizácia procesov recyklácie a likvidácie odpadu. Ivan Brezina a kol., Bratislava : Vydavateľstvo EKONÓM, 2009.
4. Quantitative models for reverse logistics. Moritz Fleischmann, Rotterdam : Selbstverl 2000.
5. Reverse Logistics, Quantitative Models for Closed-Loop Supply Chains, Rommert Dekker a kol., Berlin : Springer-Verlag, 2004
Requirements to complete the course
30% semester seminar work, resp. project,
10% continuous processing of tasks, worksheets resp. case studies.
60% written exam.
Student workload
104 hours
26 hours of lectures,
26 hours of exercise,
26 hours of self-study in preparation for the exam,
26 hours elaboration of a semester project.
Language whose command is required to complete the course
Slovak, English
Date of approval: 10.02.2023
Date of the latest change: 17.05.2022