342-6515/01 – Applied logistics (AL)
| Gurantor department | Institute of Transport | Credits | 5 |
| Subject guarantor | prof. Ing. Aleš Slíva, Ph.D. | Subject version guarantor | prof. Ing. Aleš Slíva, Ph.D. |
| Study level | undergraduate or graduate | Requirement | Compulsory |
| Year | 2 | Semester | summer |
| | Study language | Czech |
| Year of introduction | 2021/2022 | Year of cancellation | |
| Intended for the faculties | FS | Intended for study types | Follow-up Master |
Subject aims expressed by acquired skills and competences
The aim of the course is the application of the latest knowledge and trends from practice in the field of logistics to the educational process with a focus on dynamic process simulation, digital twin creation, optimization of logistics and business processes, application of SW products focused on logistics, etc.
By completing this course, students should acquire the following skills:
- be able to optimize production, service and logistics systems in the company using dynamic simulation within the Witness program,
- create a digital model of physical objects or processes, which is used to understand the relationships and predict the impacts of planned changes on individual components of the system,
- efficiently process and analyze data and thus obtain quality data for decision-making,
- searching for the optimal variant of the location of production facilities within the company or optimization of transport services of the company while considering a number of factors that may affect the situation and thus have an impact on the overall effectiveness of the solution.
By completing this course, students should be competent to:
- designing a company's logistics system for efficient data processing and analysis in order to obtain quality data for decision-making.
Teaching methods
Lectures
Tutorials
Project work
Summary
By completing this course, students should acquire the following skills:
- be able to optimize production, service and logistics systems in the company using dynamic simulation within the Witness program,
In the course Design of Logistics Systems, students will get acquainted with the practical applications of logistics in dynamic simulation in order to save costs, simplify processes, reorganize or introduce a new service in the company. You can use dynamic simulation perfectly, for example, to streamline logistics, improve processes leading to better production planning or, if necessary, to make a strategic decision on how to measure the next steps of the company.
The course is devoted to the following areas:
- streamlining logistics,
-improvement of processes leading to better production planning,
-the need for strategic decision-making, how to direct the next steps of the company.
Compulsory literature:
Recommended literature:
Way of continuous check of knowledge in the course of semester
Verification of study results for full-time and part-time study:
Credit: minimum 18 points, maximum 30 points.
1. The student prepares a seminar paper in the field of logistics using SW-Witness = evaluated from 0 to 20 points. 2. The student prepares a search on the issue of logistic organization of the workplace = evaluated from 0 to 10 points.
Exam: minimum 33 points, maximum 70 points.
1. Discussion of seminar work and research = evaluated from 0 to 10 points.
2. Oral exam from two selected questions from the syllabus = evaluated from 0 to 60 points.
E-learning
N/A
Other requirements
There are no additional requirements.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1. Logistics and its application in practice.
2. Dynamic simulation. Basic concepts, applications.
3. Optimization of processes in production, logistics and business management.
4. Examples of the use of practical simulation, its modeling within SW Witness
5. Digital twins.
6. Simulation, prediction and optimization of logistics processes.
7. Digital twins to evaluate the current performance of the product.
8. Digital twins for process optimization.
9. Optimization of logistics and company processes.
10. Automated production planning process within the creation of a simulation model.
11. Predictive technologies and simulation methods.
12. Simulation methods.
13. Case studies-logistic audit and design of the central warehouse, verification of the capacities of handling robots, design of the location of the new line, etc.
14. Case studies-simulation of handling techniques, optimization of the patient admission process, simulation and optimization of the management of the production process.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
Předmět neobsahuje žádné hodnocení.