OVERVIEW

This course provides a general intersectorial introduction to applications, scopes and development of flexible automation, including robotics, for industrial and non-industrial sectors. Technologies, means and methods, socio-economic issues related with different domains are presented and discussed. In greater detail, design and development techniques are proposed for intelligent flexible automation of industrial production systems with a view to Factory 4.0.

AIMS AND CONTENT

LEARNING OUTCOMES

This course provides a general intersectoral introduction to applications, scopes and development of flexible automation, including robotics, for industrial and non-industrial sectors. Technologies, means and methods, socio-economic issues related with different domains are presented and discussed. In greater detail, design and development techniques are proposed for intelligent flexible automation of industrial production systems with a view to Factory 4.0.

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 industrial, economical and social context.
• exploit the concepts, language and the tools understood along with the course.

PREREQUISITES

No prerequisites

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 and systems (swarmItFIX, AUTORECON, LeapFrog)

Chapter 1- INTRODUCTION

•           Introduction to manufacturing and production systems

•           Production automation facilities

•           Physical and resources and information processing resources and activities

Chapter 2 – PRODUCTION & AUTOMATION

•           Type of Production

•           Plant layouts

•           Type of automation

•           Digitalization of processing activities

Chapter 3 - FMS

•           FMS equipment

•           Applications of FMS

•           Development of FMS

Chapter 4 – FLEXIBLE AUTOMATION TREND

•           Green systems

•           Lean and Agile systems

•           Collaborative systems

•           Bio-intelligent manufactiring

•           Digital twins

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

IFR (International Federation of robotics): www.ifr.org

SIRI (Associazione Italiana di Robotica e Automazione): www.robosiri.it

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

Exam Board

REZIA MOLFINO (President)

MATTEO ZOPPI

RENATO UGO RAFFAELE ZACCARIA (President Substitute)

LESSONS

LESSONS START

https://corsi.unige.it/10635/p/studenti-orario

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