This course introduces analytical approaches to the modeling and analysis of manufacturing systems. Manufacturing systems, such as flow lines, often operate in an uncertain environment, for example unknown demand or random processing capacities. These stochastic elements must be studied in relation to lean management principles and the concept of robust planning. In addition, the production process is often very time-dependent, for example, due to the increase in capacity, the shape of seasonal demand, as well as the decrease in the reliability of machines over time. In order to support decision-making in such uncertain and dynamic manufacturing systems, we apply the query theory. The basic concepts of this basic theory are analyzed in detail. Several general concepts of robust planning are discussed in order to search for an optimal one. Otherwise, the analytical approximation of performance was introduced and is used to analyze the economy of production volume or the state value of flexible capacities.

Students will learn to understand the impact of stochastic variation in manufacturing systems. After this course, students will be familiar with the theory and practice of capacity analysis of stochastic production systems. They learn to adapt and apply analytical approximations and robust planning methods in real conditions of sustainability.

Components of manufacturing systems and their integration; Transport and manipulation-handling systems; Organization and management of the Flexible Manufacturing System (FMS) project; FMS modeling techniques; Application of simulation in FMS design and management; Application of artificial intelligence techniques in the design and management of FMS; The concept of virtual factories.

Software for modeling and analysis of real manufacturing systems, primarily based on discrete simulation (laboratory work).

Defined by the curriculum of the study program/module.

(1) Miljković,Z., Petrović,M.M., INTELLIGENT MANUFACTURING SYSTEMS – with robotics and artificial intelligence backgrounds, Textbook (ISBN 978-86-6060-071-6), XXVIII+409 p., University of Belgrade - Faculty of Mechanical Engineering, 2021. (I edition), 18.1 (2) B. Babic, Handouts, University of Belgrade, Faculty of Mechanical Engineering, 2011, 18.1 (3) B. Babic, Electronic classrom for distance learning (http://147.91.26.15/moodle/), University of Belgrade, Faculty of Mechanical Engineering, 2011, 18.1 (4) AnyLogic simulation software 18.13.

Total assigned hours: 65

New material: 40
Elaboration and examples (recapitulation): 10

Auditory exercises: 0
Laboratory exercises: 0
Calculation tasks: 0
Seminar paper: 0
Project: 0
Consultations: 0
Discussion/workshop: 0
Research study work: 0

Review and grading of calculation tasks: 0
Review and grading of lab reports: 0
Review and grading of seminar papers: 10
Review and grading of the project: 0
Test: 0
Test: 0
Final exam: 5

Activity during lectures: 20
Test/test: 0
Laboratory practice: 0
Calculation tasks: 0
Seminar paper: 40
Project: 0
Final exam: 40
Requirement for taking the exam (required number of points): 40

Miljković, Z., Petrović, M.M., (2021) INTELLIGENT MANUFACTURING SYSTEMS – with excerpts from robotics and AI, Textbook (In Serbian), XXVIII+409 pp. (ISBN 978-86-6060-071-6), UB-Faculty of Mechan. Eng.; Bojan R. Babić, (2017) COMPUTER INTEGRATED SYSTEMS AND TECHNOLOGIES (In Serbian), 246 pp. (ISBN 978-86-7083-960-1), University of Belgrade - Faculty of Mechanical Engineering.; Kalajdžić,M. (editor),Tanović,Lj.,Babić,B.,Glavonjić,M.,Miljković,Z., et al., (2021) CUTTING TECHNOLOGY, Handbook (In Serbian), IX Ed., LXXIX+453 pp. (ISBN 978-86-6060-097-6), UB-Faculty of Mech. Eng.; Groover, M.P., (2018) AUTOMATION, PRODUCTION SYSTEMS, AND COMPUTER-INTEGRATED MANUFACTURING, 5th Edition, 816 pp. (ISBN 978-0134605463), Pearson.; Andrea Matta, Quirico Semeraro, (editors), (2005) DESIGN OF ADVANCED MANUFACTURING SYSTEMS - Models for Capacity Planning in Advanced Manufacturing Systems, 267 pp. (ISBN 978-1-4020-2930-1), Springer.