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CODE 66044
ACADEMIC YEAR 2019/2020
CREDITS
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

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