CODE 66044 ACADEMIC YEAR 2019/2020 CREDITS 5 cfu anno 1 ROBOTICS ENGINEERING 10635 (LM-32) - GENOVA SCIENTIFIC DISCIPLINARY SECTOR ING-IND/13 LANGUAGE English TEACHING LOCATION GENOVA SEMESTER 1° Semester TEACHING MATERIALS AULAWEB OVERVIEW This course gives a general intersectorial presentation of the today flexible automation domains and scopes, with particular reference to Industry 4.0. AIMS AND CONTENT LEARNING OUTCOMES This course presents a general intersectorial description of the industrial automation scopes, of the involved means and methods, and of the socio-economical issues related with the domain. The scope, to be achieved, covers the definition of the scenario, into which the competencies need be enhanced with designing and developing the different topics of the industrial intelligent automation techniques. AIMS AND LEARNING OUTCOMES The educational target is to make students aware of the involved means and methods, technologies, and of the socio-economic issues related with the subject. The scope, to be achieved, covers the definition of the scenarios and of the different cooperating resources including robots and cyber-physical machines. After completing this course the students will be able to: achieve good acquaintance of problems of flexible automation and about the role played in the economical context. exploit the concepts, language and the tools understood along with the course. PREREQUISITES none TEACHING METHODS The students will be involved to discuss and work with the aim to learn and enhance their knowledge about the different topics of the intelligent automation techniques. Continuous assessment is based on: Example cases discussion Web search Readings Simulation of FMS and FMC examples for design and control/management aims; Experimental work @ PMARlab Attendance is mandatory Contimuous assessment (Readings, Examples discussion, Web search mini-reports and oral presentations, Simulation projects) accounts for 50% of the final evaluation SYLLABUS/CONTENT First notes Industrial and Service Robot statistics (last published by IFR) Robotics technology and industry 4.0 trends Examples of robots in flexible automation plants (swarmItFIX, AUTORECON, LeapFrog) Chapter 1- INTRODUCTION Definition of manufacturing Brief history of manufacturing Introduction to production systems Production automation facilities Physical resources and activities Information processing resources and activities Chapter 2 – PRODUCTION & AUTOMATION Type of Production Plant layouts Type of automation Computerization of processing activities Chapter 3 - FMS History of FMS FMS equipment Applications of FMS FMS different approaches Advantages & Disadvantage Development of FMS Examples of FMS FMC Examples of FMC Chapter 4 – MANUFACTURING TREND Global manufacturing Green manufacturing Lean manufacturing Agile manufacturing Modular manufacturing Reconfigurable manufacturing Evolvable manufacturing Chapter 5 - SIMULATION Virtual Manufacturing Introduction to DELMIA Laboratory work with DELMIA Rapid prototyping RECOMMENDED READING/BIBLIOGRAPHY S. Deb Robotics Technology And Flexible Automation, McGraw Hill, 2004 Manufuture: www.manufuture.org Intelligent Manufacturing Systems: www.IMS.org Study material will be available in the official study portal Further readings will be provided by the lecturer TEACHERS AND EXAM BOARD REZIA MOLFINO Ricevimento: Teachers are available at the end of the lectores and on motivated requests (by e-mail or phone call) Exam Board REZIA MOLFINO (President) RENATO UGO RAFFAELE ZACCARIA (President) MATTEO ZOPPI LESSONS LESSONS START September 17, 2018 Class schedule The timetable for this course is available here: Portale EasyAcademy EXAMS EXAM DESCRIPTION The final examination consists of a written questionnaire with about 8 open questions ASSESSMENT METHODS 50% continuous assessment (Readings, Examples discussion, Web search mini-reports and oral presentations, Simulation projects), 50% from the final examination Exam schedule Data appello Orario Luogo Degree type Note 14/02/2020 14:00 GENOVA Scritto 22/07/2020 14:00 GENOVA Scritto FURTHER INFORMATION About 24 hours class lectures About 20 hours labs/ supervised exercises About 80 hours private study