Objectives and competences
• Knowledge of advanced computer integrations in production.
• Knowledge of the building blocks of modern integrated processing systems: machine tools, measuring machines, robots, transport devices, serving devices.
• Knowledge of information and communication technologies relevant to the integration of manufacturing systems.
• Knowledge of automatic tagging and object identification.
• Knowledge of the content, construction and use of databases.
• Understanding the operation and application of machine vision for quality control, measurement, and automatic defect detection.
• Knowledge of the fundamentals of predictive analytics and the use of artificial intelligence methods for predicting tool wear, failures, or deviations in production.
• Development of analytical thinking and the ability to connect data technologies with real technological challenges.
• Ability to work independently and in teams on designing solutions for supporting and optimizing machining systems.
Content (Syllabus outline)
• Introduction to Integrated Manufacturing Systems Automation and integration of manufacturing systems.
• Information in manufacturing systems.
• Communication in manufacturing systems.
• Integration of material flows and transport systems into manufacturing systems.
• Integration of information and systems into manufacturing systems.
• Databases in integrated manufacturing systems.
• Computer supported technologies; development, advantages, influences on manufacturing systems.
• Computer based capturing, supervision and analyse of information of state and activity of manufacturing system.
• Machine vision in manufacturing systems.
• Predictive Analytics in Integrated Manufacturing Systems.
Exercises and seminar:
Exercises supplement lectures with practical examples of creation of technological database.
Seminar work includes in-depth revive of selected sections.
Learning and teaching methods
• lectures,
• dialogue,
• team seminar work,
• laboratory work,
• student's presentations.
Intended learning outcomes - knowledge and understanding
At the end of this course, students will:
• explain the integration of manufacturing systems
• analyze the operation of machining lines, machining centers and machining cells
• use machine vision in manufacturing systems
• analyze the use of digital technologies in manufacturing systems
• explain and evaluate different technologies of automatic marking and identification in manufacturing systems
• explain and evaluate the use of information and communication technologies in manufacturing systems
Intended learning outcomes - transferable/key skills and other attributes
• Knowledge of design of more integrated manufacturing systems.
• Knowledge of structure and operation of production information systems.
• Experience with integrated CAD/CAM system and database.
• Knowledge of PLM systems.
Readings
Temeljna literatura in viri:
• Balič, J. (2001). Računalniška integracija proizvodnje (str. X, 408). Fakulteta za strojništvo. https://plus.cobiss.net/cobiss/um/sl/bib/ktfmb/46082817
• Balič, J. (2000). Prilagodljivi obdelovalni sistemi (str. VIII, 326). Fakulteta za strojništvo. https://plus.cobiss.net/cobiss/um/sl/bib/ktfmb/45270785
• Balič, J. (2004). Inteligentni obdelovalni sistemi (str. XII, 348). Fakulteta za strojništvo. https://plus.cobiss.net/cobiss/um/sl/bib/ktfmb/51748865
Dodatna literatura in viri:
• Pahole, I., & Balič, J. (2003). Obdelovalni stroji: [učbenik] (str. VI, 401). Fakulteta za strojništvo. https://plus.cobiss.net/cobiss/um/sl/bib/ktfmb/49964545
• Balič, J. (2002). CAD/CAM postopki (str. VIII, 402). Fakulteta za strojništvo. https://plus.cobiss.net/cobiss/um/sl/bib/ktfmb/7777558
• Karabegović, E., Brezočnik, M., Mahmić, M., Karabegović, I., Pašić, S., Isić, S., Ficko, M., Klančnik, S., Vojić, S., Husak, E., & Džiho, E. (2014). Nove tehnologije u proizvodnim procesima: razvoj i primjena (1. izd., str. VIII, 303). Mašinski fakultet; Fakultet za strojništvo; Društvo za robotiku. https://plus.cobiss.net/cobiss/si/sl/bib/21640454
• Smart Manufacturing & Automation Control Systems for Industry 4.0/5.0. (2024). [eBook]. MDPI - Multidisciplinary Digital Publishing Institute. https://plus.cobiss.net/cobiss/um/sl/discovery/eNotj8tKAzEUQAMiqLV_IJKVu0yTuZk8lmWoWqh00bouN9NEBjuJTDKL_r31sTqczYFDyKPgFYDlC5fSZ7baMGC6bgwTRtcMrsgd_OjFhLgh85x7xxsltQClbslqN-BY6BvGKWBXprGPH_SJLqeSBix9irRNsYzpRHfnXPyQaUgjXcfjlMt4prLii6bi9-Q64Cn7-T9n5P15tW9f2Wb7sm6XG4bKKMUCN7LTInAEwx3aGjR6lLqWyqEJxigLHQdpeeehsdoB91poLQN0XrgAM_Lw10345ePhmPB3-iAkqMvQN_NhShQ
Additional information on implementation and assessment 