Subject: Intelligent Process Planning (17.P315 )
Native organizations units: Department of Production Engineering, Chair of Computer Aided Technological Systems and Design
Study programmes of the course:
| Type of studies | Title |
|---|---|
| Master Academic Studies | Production Engineering (Godina: 1, Summer) |
Educational goal:
Students learn to design intelligent manufacturing process planning of product applying advanced methods and techniques.
Educational outcome:
The knowledge acquired allow the use of modern methods and techniques in development of intelligent and integrated CAPP systems.
Course content:
The aim, importance and content of course. Basis of design intelligent manufacturing process planning. Basis using artificial intelligence methods in process planning. Feature-based methods and technological preparation. Multi-criteria optimization and selection of products, processes and resources. Applications of expert systems in developing CAPP systems. Application of neural networks, fuzzy logics and genetic algorithms in defining and optimization the selection of elements process planning. Application of agent and multi-agent methods for manufacturing process planning. Application of STEP and STEP-NC standard in the integration of CAD/CAPP/CAM/CNC and other CAx systems. Metaheuristiic methods in process planning and scheduling. Modern intelligent system. Application of artificial intelligence in modeling and simulation process planning and structure forming of manufacturing systems. Intelligent process planning as a part of virtual manufacturing, collaborative engineering and e-manufacturing.
Teaching methods:
Teaching is performed in the form of lectures and computer exercices, consultations and company visits. Within theoretical lectures, part is presented with appropriate practical examples. Within computer pratical classes performed training students in the application of inforamtion technology through practical examples, as well as the development of the projects and seminary works. Colloquia are written in the form of the test. In order to extend the practical knowledge made visits to the respective companies. Besides, regularly consultations are held in order to move closer teaching material and making appropriate projects and seminary works.
Literature:
| Authors | Title | Year | Publisher | Language |
|---|---|---|---|---|
| Miljković, Z., Aleksendrić, D. | Veštačke neuronske mreže | 2009 | Mašinski fakultet, Beograd | Serbian language |
| Lukić D., Milošević M., Todić V. | Integrisani |
2013 | Fakultet tehničkih nauka, Novi Sad | Serbian language |
| 2009 | English | |||
| 2003 | English | |||
| 2004 | English | |||
| Poliščuk, E.J. | Ekspertni sistemi | 2004 | Informatička literatura, Podgorica | Serbian language |
| 2007 | English | |||
| Милошевић, М. | Колаборативни систем за пројектовање технолошких процеса израде производа базиран на интернет технологијама – докторска дисертација | 2012 | Факултет техничких наука, Нови Сад | Serbian language |
| 2009 | English | |||
| Бабић, Б. | Пројектовање технолошких процеса | 1999 | Машински факултет, Београд | Serbian language |
| 1999 | English | |||
| Todić, V. | Projektovanje tehnoloških procesa | 2004 | Fakultet tehničkih nauka, Novi Sad | Serbian language |
Knowledge evaluation:
| Course activity | Pre-examination | Obligations | Number of points |
|---|---|---|---|
| Exercise attendance | Yes | Yes | 5.00 |
| Lecture attendance | Yes | Yes | 5.00 |
| Project | Yes | Yes | 30.00 |
| Coloquium exam | No | Yes | 20.00 |
| Term paper | Yes | Yes | 20.00 |
| Coloquium exam | No | Yes | 20.00 |
Lecturers:
prof. dr Lukić Dejan
Full Professor
Lectures
prof. dr Milošević Mijodrag
Full Professor
Computational classes
prof. dr Milošević Mijodrag
Full Professor
Lectures
prof. dr Lukić Dejan
Full Professor
Computational classes
Faculty of Technical Sciences
© 2024. Faculty of Technical Sciences.
Contact:
Address: Trg Dositeja Obradovića 6, 21102 Novi Sad
© 2024. Faculty of Technical Sciences.