System Informatics and Logistics

Higher education teachers: Mušič Gašper

Subject description

Prerequisites:

• Enrolment in the 2nd cycle masters study programme.

Content (Syllabus outline):

Modelling of information, production and logistic systems. Continuous, hybrid and discrete-event models. Unified modelling language (UML).

Discrete-event simulation. Random variables and random processes, queueing systems. Discrete-event simulation implementation strategies and interpretation of results. Discrete-event simulation software. Visualization in animation in simulation. Production and logistic system simulation examples.

Complex control systems. Programmable controllers in industrial automation. Control software development standards, standard programming languages. Modular and object-oriented approaches, model-based design.

Industrial communication networks. Fieldbus networks, industrial Ethernet. Open connectivity and standards.

Process monitoring, supervision and control software. SCADA systems, data collection and analysis software, HMI design and implementation

Databases. Relational data model. Standard query language (SQL). Data modelling. Database management systems.

Objectives and competences:

• Basics of industrial informatics, presentation of information infrastructure components for monitoring, supervision and control of technological processes.
• Principles of modelling and simulation in the study of information, production and logistic systems.
• Development of complex control application software, implementation of process monitoring and supervisory control systems.

Intended learning outcomes:

• Knowledge of industrial information systems components and related design methods.
• Selection of suitable information technologies for a given technological process. Choice of development tools and design of application software for process monitoring, supervision and control.
• Understanding of discrete-event modelling and simulation methods. Use of discrete-event simulation software in analysis and design of industrial information systems.

Learning and teaching methods:

• Lectures, laboratory exercises.

Study materials

1. T. Boucher, A. Yalcin, Design of Industrial Information Systems, Academic Press, 2006.
2. T. T. Allen, Introduction to Discrete Event Simulation and Agent-based Modeling, Springer, 2011
3. R. Zurawski, The Industrial Information Technology Handbook, CRC Press, 2005.
4. K.-H. John, M. Tiegelkamp, IEC 61131-3: Programming Industrial Automation Systems, Second editon, Springer, 2010.
5. S. Strmčnik, R.Hanus, Đ. Juričić, R. Karba, Z. Marinšek, D.Murray-Smith, H. Verbruggen, B. Zupančič, Celostni pristop k računalniškemu vodenju procesov, 1. izdaja, Univerza v Ljubljani, Fakulteta za elektrotehniko, 1998.