COURSE UNIT TITLE

: MODELING AND ANALYSIS OF DISCRETE EVENT SYSTEMS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IND 4907 MODELING AND ANALYSIS OF DISCRETE EVENT SYSTEMS ELECTIVE 3 0 0 4

Offered By

Industrial Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASISTANT PROFESSOR ŞENER AKPINAR

Offered to

Industrial Engineering

Course Objective

As the complexity of the systems grows, and the requirements for their correct behavior are strengthened, new theories have been developed to facilitate the generation of control structures for discrete event systems. Solving these problems is of critical importance to decrease the cost of automated manufacturing systems and to increase the system productivity. This course aims to give the student basic knowledge about important results from current research on discrete event systems and how these results can be applied to the problems in industrial systems.

This course covers elements of discrete mathematics and then focuses on Petri Net models and their basic properties: locality and concurrency. Condition/event systems; Place/transition nets; Colored Petri nets; Reachability graphs (Occurrence nets); and Invariant Analysis; Behavioral and Structural Properties. Temporal issues in Petri nets and Temporal Logic. Stochastic Petri nets. Relation to other discrete event models of dynamical systems. Applications of the theory to modeling, design and verification, and to systems engineering problems.

Learning Outcomes of the Course Unit

1   To define the basic elements of system theory, then focuses on discrete event dynamic systems
2   To explain the mathematical properties of discrete event systems through Graph Theory and Petri Net models
3   To adopt the Petri nets theory and applications in problems of system modelling, design, and verification
4   To apply the above to the analysis of performance and reliability properties
5   To discuss the extension of discrete time towards continuous time and stochastic techniques, leading to, e.g., Markov chains and stochastic Petri nets

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Brief review of basic notions from Systems Theory and its particularization for Discrete Event Systems.
2 Brief review 2 Graph Theory
3 Essential Features of Petri Nets: Petri Net models and Definitions, CPN Tools I
4 Petri Net properties 1: Structural Methods and Invariants
5 Petri Net properties 2 : Behavioral Properties
6 State Space methods, Reachability Analysis
7 State Space Analysis: Heuristic Methods
8 Elementary Classes of Petri nets: Event (Marked) Graphs
9 Midterm Exam
10 Performance evaluation models: Timed PNs
11 Stochastic PNs, Markov Chains
12 Applications of Petri nets in Manufacturing Systems
13 CPN modelling tools
14 Presentation of Research Projects

Recomended or Required Reading

B. Hrúz and M.C. Zhou (2007), Modeling and Control of Discrete-event Dynamic Systems with Petri Nets and Other Tool , Springer-Verlag, London.
Proth, J.M. and Xie, X. (1996), Petri nets: A tool for design and management of manufacturing systems . Chichester, UK: John Wiley & Sons Inc.
Jerry Banks, John Carson, Barry L. Nelson, and David Nicol (1994). Discrete-Event System Simulation , Fourth Edition by, Prentice Hall International Edition.
Zhou, M.C. and DiCesare, F. (1993), Petri Net Synthesis for Discrete Event Control of Manufacturing Systems , Norwell, Massachusetts: Kluwer Academic Publishers (1993).
Desrochers, A.A. and Al-Jaar, R.Y. (1995). Applications of Petri nets in Manufacturing Systems. New York, NY: Institute of Electrical and Electronics Engineers Press.
DiCesare, F., Harhalakis, G., Proth, J.M., Silva, M., and Vernadat, F.B. (1993). Practice of Petri Nets in Manufacturing. London: Chapman & Hall.

Planned Learning Activities and Teaching Methods

Lectures, problem classes, worksheets, course notes, textbooks, web support.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE*0.35+ASG *0.15+FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE*0.35+ASG *0.15+RST * 0.50


Further Notes About Assessment Methods

None

Assessment Criteria

MIDTERM(%35)+ASSIGNMENT(%15)+FINAL EXAM(%50)

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

E-mail: gonca.tuncel@deu.edu.tr; Telf: 02323017617

Office Hours

09:00 - 17:00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 3 36
Preparation before/after weekly lectures 13 2 26
Preparation for Mid-term Exam 1 10 10
Preparing Group Assignments 1 6 6
Preparing Individual Assignments 2 4 8
Preparation for Final Exam 1 14 14
Preparing Presentations 1 4 4
Final exam 1 2 2
Mid-term exam 1 2 2
TOTAL WORKLOAD (hours) 108

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12
LO.143
LO.2444
LO.344544
LO.4455544
LO.5344333

CONTACT INFORMATION
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Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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