342-0681/02 – Computer Support for LS Design (PPPLS)
| Gurantor department | Institute of Transport | Credits | 5 |
| Subject guarantor | doc. Ing. Michal Dorda, Ph.D. | Subject version guarantor | doc. Ing. Michal Dorda, Ph.D. |
| Study level | undergraduate or graduate | Requirement | Choice-compulsory type B |
| Year | 2 | Semester | winter |
| | Study language | English |
| Year of introduction | 2018/2019 | Year of cancellation | |
| Intended for the faculties | FS | Intended for study types | Follow-up Master |
Subject aims expressed by acquired skills and competences
The course aims to acquaint students with methods that can be used to solve real problems in the field of logistics planning and logistics systems. The subject is devoted to two different approaches - discrete simulation and linear programming. After completing this course the student should be able to apply these approaches to solving real problems in the field of logistics.
Teaching methods
Lectures
Tutorials
Summary
Compulsory literature:
Recommended literature:
Way of continuous check of knowledge in the course of semester
Credit - processing of three semester projects.
Exam - written part (2 examples) and oral part (2 theoretical questions).
E-learning
http://www.vvvd.cz/m15-simulace-technologickych-procesu-a-systemu-30.html
Other requirements
No other requirements are not defined.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1) Introduction to modelling and simulation.
2) Basic description of Witness simulation software.
3) Introduction to discrete simulation, event-based algorithms, activity-based algorithms.
4) Methods of generating pseudo-random numbers.
5) Methods of transformation of pseudo-random numbers.
6) Introduction to estimation theory, point estimation of parameters.
7) Interval estimations of mean value.
8) Introduction to statistical hypothesis testing, normality testing - Pearson\'s goodness-of-fit test.
9) One sample mean value test.
10) Two sample mean value test.
11) Introduction to linear programming, Solver in Microsoft Excel, Xpress-IVE optimization software.
12) Transportation problem and its solution.
13) Location and allocation tasks and their solution.
14) Reserve.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
Předmět neobsahuje žádné hodnocení.