OVERVIEW

The teaching shows the plant engineering evolution generated by the technological impact of the 4 industrial revolutions, the applications of which have changed the way of managing the Factory. In particular, the impact on Operations in terms of IT, Robotics and Systems. Great attention will be paid to the most recent technological tools (AI, IIOT, DT, CPS, ...), concluding with the trends and guidelines set by the Consulting and Manufacturers reference. The benefits produced by a managed data flow that supports the flow of materials and information will be highlighted. About that multiple industrial cases will be presented in terms of architectures and technological infrastructures.

AIMS AND CONTENT

LEARNING OUTCOMES

The course aims to make the student understand the digital technologies to support production, distribution and purchases processes and the potential offered by the digitalization of manufacturing companies in order to optimally manage production processes, collect automated data in real time and optimize production costs.

AIMS AND LEARNING OUTCOMES

Provide Students with a theoretical and practical basis of Systems, Devices, Software and Methods characterizing the third and fourth Industrial Revolutions, the knowledge of which allows to continuously improve the management of the products and services offered, through the application of consolidated or innovative methodologies.

Teach Students to identify, correct and prevent problems in production plants and to use application tools to solve them or to mitigate their effects.

Develop Students' skills in the management of Digital Transformation projects, submitting them real business cases, to be solved with the methodologies learned.

Promote awareness of the transition of current production plants to the most modern dictates of Industry 4.0, through architectural, hardware and software transformation.

Help Students understand the characteristics of a Smart Factory, in order to find, in the future, an ideal location on the plant to be able to give value.

PREREQUISITES

It is appreciable, but not strictly necessary, to have previously attended the teaching of Industrial Plants.

TEACHING METHODS

The teaching methods are divided into 4 macro-phases:

- Orientation

- Training

- Case studies

- Technological trends and guidelines

SYLLABUS/CONTENT

1. Industry 1.0 and 2.0 (Technological and Organizational overview)

2. Industry 3.0 and 4.0 (Systems, Devices, Software and Methods in detail)

3. Architectures of Systems 4.0

4. Digital Transformation (IIOT in SMEs and large Companies)

5. Cyber Physical Systems

6.Service 4.0

7. Real Business Cases (Implementation of Best Practices)

8. Industry Trends and Guidelines (Manufacturers and Consulting)

RECOMMENDED READING/BIBLIOGRAPHY

All the slides used during the lessons and other teaching material will be available on aul@web. The notes taken during the lessons and the material on aul@web are sufficient for the preparation of the exam.

TEACHERS AND EXAM BOARD

LESSONS

LESSONS START

https://corsi.unige.it/en/corsi/8734/studenti-orario

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

The exam consists in:

Assignment

Based on the technologies learned, each Student is required to individually develop the architecture of an application capable of solving Operations problems (in the Industrial, or Healthcare, or Logistics fields, etc.) according to feasibility and sustainability principles. The assignment is carried out by the Students independently and presented to the Teacher as the first question of the oral exam.

Oral exam

• Presentation of the assignment (previously sent to the Teacher via email)
• Any clarifications requested by the Teacher
• A theoretical question chosen by the Teacher

The dates of the sessions will be published in the calendar and communicated on aul@web.

ASSESSMENT METHODS

The verification of the actual achievement of the results will be obtained through the evaluation of the completed and presented assignment and the Student's responses during the exam. Specifically, the evaluation parameters will consist of:

Evaluation of the contents, exhaustiveness of the topic, level of detail, quality of the exposition, professional terminology, ability to connect from one topic to another, critical reasoning skills on the discussion addressed.

FURTHER INFORMATION

The Teacher is available for individual or group receptions, three days a week, upon reservation, on dates that can be agreed.