The course aims to provide an overview of new technologies to support production processes, illustrate the architecture of factory information systems and integrations between systems. To encourage the digital transition of small and medium-sized enterprises and investments in innovative technologies, the Government provides companies with various incentive tools. A specific focus of the course concerns the incentive measures and financial tools in force to invest in 4.0 and 5.0 technologies. Finally, part of the course is dedicated to simulation and various modeling techniques to support the design and optimization of industrial plants and the analysis of investments.
The student acquires the general criteria and methodologies for the feasibility study, design and construction of industrial plants.
Attendance and active participation in the proposed training activities and individual study will allow the student at the end of the course to:
There are no specific requirements
The topics will be developed approximately on 12 weeks of frontal lessons divided into two days of lessons per week. The lessons will be held in Italian language with the support of power point presentations.
Students with valid certifications for Specific Learning Disorders (SLDs), for disabilities or other educational needs are invited to contact the teacher and the School/Department disability representative at the beginning of lessons to agree on any teaching methods that, in compliance with the teaching objectives, take into account individual learning methods.
Tools and methodology for plant and production systems management (Professor Prof. Marco Gotelli, 20 hours)
Digital innovation
Process Management Tools
Capabilities and use cases of IT tools in the enterprise
System Integration
Government incentives for investments 4.0 and 5.0, tools and methodology for the sizing and optimization of plants and production systems (Lecturer Prof. Lucia Cassettari, 34 hours)
Incentives and tax ralief for investments in 4.0 and 5.0 technologies
Simulation techniques and application contexts
Statistical validation methods of stochastic simulation models
Practical exercise of building a DES simulation model and applying design techniques of experiments
All the slides used during the lessons and other teaching material will be available on the teaching Teams channel. The notes taken during the lessons and the material on Teams are sufficient for the preparation of the exam
Ricevimento: An appointment must be arranged by email.
https://corsi.unige.it/en/corsi/8734/studenti-orario
The exam includes an oral interview with both teachers of the course. Each teacher will verify the student's preparation for the part of the program of his competence. To participate in the oral exam you must register for the official exam sessions on the https://servizionline.unige.it/studenti/esami/prenotazione website.
The oral exam will allow to check the capability of the student of reasoning and connecting different concepts with each other.The quality of the exposition, the correct use of the specialist vocabulary, the ability of critical reasoning will also be assessed.
Ask the professor for other information not included in the teaching schedule
