Course details

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Logistics Systems Modelling

Teaching:

ECTS:

Level:

Semester:

Prerequisites:

Passed course Engineering logistics (18564) and Operations Research I (18526), or similar.

Load:

Lectures	Exercises	Laboratory exercises	Project laboratory	Physical education excercises	Field exercises	Seminar	Design exercises	Practicum
30		6	0	0	0	10	0	0

Course objectives:

Presentation and understanding of various models and methods in design and optimization of logistics problems.

Student responsibilities:

Grading and evaluation of student work over the course of instruction and at a final exam:

Created and presented seminar (simulation model and results) 50%. Written exam 50%.

Methods of monitoring quality that ensure acquisition of exit competences:

Active participation in class. Control of understanding the subject matter through consultations during work on seminar. Final written exam.

Upon successful completion of the course, students will be able to (learning outcomes):

Upon passing the course, student will be able to: Identify, describe and formulate complex logistical problems with the physical, human and economic parameters. Identify logistical problems that can be solved using optimization and simulation models. Build mathematical models of logistic problems. Build simulation models of logistics problems. Apply available IT tools for optimization and simulation. Analyze the solutions obtained by optimization and simulation models. Judge the validity and applicability of the results.

Lectures

1. Engineering logistics and importance of modelling in logistics. Application of Operations Research in logistics.

2. Inventory models.

3. Inventory models.

4. Inventory models.

5. Transportation problems and models. VRP problems and algorithms.

6. VRP problems and algorithms.

7. VRP problems and algorithms.

8. Simulation - models and software (overview).

9. Simulation - models and software (overview).

10. Simulation - models and software (overview).

11. Building simulation models - examples.

12. Building simulation models - examples.

13. Building simulation models - examples.

14. Building simulation models - examples.

15. Building simulation models - examples.

Exercises

1. Assigning seminars. (after lectures and exercizes on computers)

2. Inventory models - numerical examples.

3. Inventory models - numerical examples.

4. Inventory models - numerical examples.

5. VRP - numerical examples.

6. VRP - numerical examples.

7. VRP - case studies.

8. Examples of simulation models of production and logisitcs systems.

9. Examples of simulation models of production and logisitcs systems.

10. Examples of simulation models of production and logisitcs systems.

11. Work on seminars with consultations.

12. Work on seminars with consultations.

13. Work on seminars with consultations.

14. Presentation and defense of the seminar (simulation model).

15. Presentation and defense of the seminar (simulation model).

Compulsory literature:

Heragu, S., Facilities Design, PWS Publishing, Boston, 1997

Bramel, Simchi-Levi: The Logic of Logistics, Springer 1997

Waters D.: Logistics An Introduction to Supply Chain management, Palgrave, NY, 2003

Dolgui A, Proth JM.: Supply Chain Engineering - Useful Methods, Springer 2010

Recommended literature:

Selected articles from scientific journals.