Course detail

Discrete event systems

FEKT-NSDUAcad. year: 2011/2012

Discrete event systems and their typical examples, modelling, structural and dynamic models. Basic modeling appliance. Petri nets, definitions, types, purpose, autonomous PN, colored PN. Sequence systems and their modeling using PN. Flexible systems, their deciding and task of scheduling.

Language of instruction

English

Number of ECTS credits

Mode of study

Not applicable.

Guarantor

prof. Ing. Pavel Václavek, Ph.D.

Department

Department of Control and Instrumentation (UAMT)

Learning outcomes of the course unit

To be able made design and solving discrete event systems.

Prerequisites

The subject knowledge on the Bachelor´s degree level is requested.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations.

Assesment methods and criteria linked to learning outcomes

Lesson. Max. 30 points.
Examination. Max. 70 points.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

This subject presents the field of systems with discrete character from its essence (contrary to discrete control of continuous systems). This is the question of systems of piece production, of bulk service, traffic systems etc. The subject is interested in modeling, control and optimization of behavior of discrete events. It deals in details with the formulation of the tasks of operations scheduling in computer, traffic and especially in production systems. It gives the overview of basic and common principles in scheduling, discrete optimization, formulation of scheduling for more parallel machines.

Specification of controlled education, way of implementation and compensation for absences

The content and forms of instruction in the evaluated course are specified by a regulation issued by the lecturer responsible for the course and updated for every academic year.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Cassandras, C.G., Lafortune, S.: Introduction to Discrete Event Systems, Springer, 2007 (EN)

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme EECC-MN Master's

    branch MN-KAM , 2 year of study, winter semester, elective specialised

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

prof. Ing. Pavel Václavek, Ph.D.

Syllabus

Discrete event systems and their typical examples.
Modeling of discrete event systems, purpose and basic resources. Structural and dynamic models.
Parallelism in discrete event systems, static, capacity and precedence limitations.
Graphs and nets as a basic modeling appliance. Petri nets (PN), definitions, types, purpose, PN as modeling tool.
Sequence systems and their modeling using PN, autonomous PN, colored PN.
Timing in PN, simulation of system's functionality, critical points detection in systems.
Flexible systems and their deciding.
Scheduling in systems "flow-shop","open-shop" a "job-shop", criteria function of optimality.
Task of scheduling of one machine, criteria Cmax, Fw, Lmax.
Task of scheduling of parallel machines, criteria Cmax, Fw, Lmax.
Static and predictive scheduling of type flow-shop, open-shop, job-shop.
Scheduling of operations and traffic problems solving.

Exercise in computer lab

26 hod., compulsory

Teacher / Lecturer

prof. Ing. Pavel Václavek, Ph.D.

Syllabus

Discrete event systems in typical examples.
Modeling of discrete event systems, tools for structural and dynamic modeling.
Connection between Models–PLC B&R–PC in real-time
Basic modeling appliance.
Petri nets practical examples I.-V.
Task of scheduling - definition and problem analysis.
Task of scheduling - problem solving.
Task of scheduling of one machine, criteria Cmax, Fw, Lmax.
Task of scheduling of parallel machines, criteria Cmax, Fw, Lmax.
Task of scheduling of type flow-shop, open-shop, job-shop.
Comercial products for for task of scheduling.