Faculty of Technical Sciences

Subject: Internet of Things in Manufacturing (17.DP044)

Native organizations units: No data
General information:
 
Category Scientific-professional
Scientific or art field Technological Processes, Techno-Economic Optimization and Virtual Design
Interdisciplinary No
ECTS 10
Educational goal:

Acquiring of advanced knowledge about Internet of Things (IoT) concept in modern manufacturing systems. Development of scientific capabilities, academic and professional skills in the framework of Cyber-physical manufacturing systems. Training students to apply the Big Data technique for analysis of large data sets that are generated in the manufacturing system.

Educational outcome:

Development of the skills and expertise for the application of Internet of Things technologies in manufactruring process. Training for the application of methods used in the analysis of large and complex sets of digital data generated in a manufacturing system.

Course content:

Application of the Internet of Things concept in the industry. Application of the Internet of Things in managing production operations. Importance of the Internet of Things in visualization and simulation of manufacturing. Industry 4.0. Cyber-physical systems in manufactruring. Implementation of Internet of Things in cyber manufacturing technological systems. Implementation of the Internet of Things in the acquisition of data, monitoring and integration of manufacturing. The concept of smart and intelligent manufacturing. Significance of digital information in the concept of smart manufacturing. Big Data in manufacturing systems. The techniques of classification and analysis of large and complex data sets generated in the manufacturing system. Optimization of production system using the Internet of Things. IoT case studies from industry.

Teaching methods:

Lectures, study research work and consultations. The lectures provide a theoretical part of the material using modern equipment and information and communication technologies. Through lectures, a student acquires and mastered contemporary scientific knowledge, scientific methods and procedures that enable him to become independent research work. In addition to lectures, consultations are also held regularly. Study research work includes all forms of teaching that are in the function of directly training a student for research, writing scientific papers and making a doctoral dissertation. Study research work includes active monitoring of primary scientific sources, organization and execution of numerical simulations and experimental research.

Literature:
Authors Title Year Publisher Language
Dogan, I. Internet stvari 2016 Agencija EHO Serbian language
Jeschke, S., Brecher, C., Song, H., Rawat, D.B. Industrial Internet of Things: Cybermanufacturing Systems 2017 Springer, London English
Zhang, Y., Tao, F. Optimization of Manufacturing Systems Using the Internet of Things 2016 Academic Press Serbian language
Milošević, M. Kolaborativni sistem za projektovanje tehnoloških procesa izrade proizvoda baziran na internet tehnologijama 2012 Fakultet tehničkih nauka, Novi Sad Serbian language
Zhang, Y., Tao, F. Optimization of Manufacturing Systems Using the Internet of Things 2016 Academic Press English
Hwaiyu Geng (Ed.) Internet of Things and Data Analytics Handbook 2017 Wiley English
Gilchrist, A. Industry 4.0 : The Industrial Internet of Things 2016 Apress, New York English
Knowledge evaluation:
Course activity Pre-examination Obligations Number of points
Project Yes Yes 50.00
Oral part of the exam No Yes 50.00
Lecturers:
API Image

prof. dr Milošević Mijodrag

Full Professor

Study research work
API Image

prof. dr Milošević Mijodrag

Full Professor

Lectures

Faculty of Technical Sciences

© 2024. Faculty of Technical Sciences.

Contact:

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(+381) 21 6350 413

Fax : (+381) 21 458 133
Emejl: ftndean@uns.ac.rs

© 2024. Faculty of Technical Sciences.