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Industry 4.0 for production systems
02USOLO
A.A. 2022/23
Course Language
Inglese
Degree programme(s)
Course structure
| Teaching | Hours |
|---|---|
| Lezioni | 18 |
| Esercitazioni in aula | 22 |
Lecturers
| Teacher | Status | SSD | h.Les | h.Ex | h.Lab | h.Tut | Years teaching |
|---|
Co-lectures
Context
| SSD | CFU | Activities | Area context |
|---|
2022/23
(Course A). The course analyzes the production system according to different aspects: management, technology and engineering. The management aspect of the production system concerns the analysis of the production line, based on the queue models. The analytical models or the discrete event simulation software, allow for assessing the performance of the line and for comparing the costs and benefits arising from the adoption of Push or Pull control techniques. The course illustrates the evolution of the production system from its origins in the Ford’s factory to the latest innovations of the Toyota production system and Lean revolution.
The technology of the production systems deals with the subtractive manufacturing (operated by numerical control machines) and additive manufacturing (operated by 3D printers and AM machines). Other manufacturing devices for product automation are illustrated in the course (Robots, Cobots, Automated Guided Vehicles, …).
From the engineering point of view, the course promotes the use of software and hardware tools to carry out the design, the manufacturing and the testing of simple objects. Such experience focuses on the management of engineering data along the product lifecycle, and the integration of solutions provided by PLM (Product Lifecycle Management), MES (Manufacturing Execution Systems) and ERP (Enterprise Resources Planning). Such framework reflects the underlying structure of I4.0 revolution where nine enabling technologies, within an effective organization of data and processes, contribute to the companies’ competitiveness.
(Course A). The teaching illustrates the evolution of the production system from its origins in the Ford’s factory to the latest innovations of the Toyota production system and Lean revolution.
The teaching activity analyzes the production system according to different aspects: management, technology and engineering.
The management aspect of the production system concerns the analysis of the production line in order to assess its performances and compare costs and benefits arising from the adoption of Push or Pull control techniques. The line analysis adopts an analytic (Queue models) and/or numerical (Discrete event simulation) approach.
The technology of the production systems deals with the subtractive manufacturing (operated by numerical control machines) and additive manufacturing (operated by 3D printers and AM machines). Other manufacturing devices for product automation are illustrated in the course (Robots, Cobots, Automated Guided Vehicles, …) as well as the IIoT (Industrial Internet of Things) infrastructure currently adopted to support Smart manufacturing.
From the engineering point of view, the course promotes the use of software and hardware tools to carry out the design, the manufacturing and the testing of simple objects. Such experience focuses on the management of engineering data along the product lifecycle, and the integration of solutions provided by PLM (Product Lifecycle Management), MES (Manufacturing Execution Systems) and ERP (Enterprise Resources Planning). Such framework reflects the underlying structure of I4.0 revolution where nine enabling technologies, within an effective organization of data and processes, contribute to the companies’ competitiveness.
(Course A). Students acquire the skills needed to supervise a production system and to identify the most suitable technology, resources and configuration for the specific application. The theoretical and experimental activities provide the students with the knowledge they need for:
• selecting the proper technology for the manufacturing process;
• defining the appropriate workcycle for the component manufacturing;
• developing the proper architecture of HW\SW resources;
• evaluating the performances of the resulting manufacturing system;
• analyzing the economic impact of the different solutions.
Finally, the student acquires the ability to provide solutions based on an integrated view of the engineering technology and management issues.
(Course A). Students acquire the skills needed to supervise a production system and to identify the most suitable technology, resources and configuration for the specific application. The theoretical and experimental activities provide the students with the knowledge they need for:
• selecting the proper technology for the manufacturing process;
• defining the appropriate workcycle for the component manufacturing;
• developing the proper architecture of HW\SW resources;
• evaluating the performances of the resulting manufacturing system;
• analyzing the economic impact of the different solutions.
Finally, the student acquires the ability to provide solutions based on an integrated view of the engineering technology and management issues.
(Course A). Mechanical behavior of materials, Fundamentals of Technical Physics, Applied Mechanics, Mechanical Technology, Computer Aided Design.
(Course A). Mechanical behavior of materials, Fundamentals of Technical Physics, Applied Mechanics, Mechanical Technology, Computer Aided Design, IT programming.
(Course A). Introduction to production systems: Classification of production processes; Criteria for the selection of the production rates; Criteria for setting the level of automation and integration of processes; Performance and efficiency of manufacturing processes.
Performance analysis of production systems: The evaluation of the operating point of a manufacturing line; The analysis of the performance of a workstation though the queue models; The use of batching. Analytical models for the evaluation of manufacturing line performances; Discrete event softwares for the simulation of manufacturing line.
The numerical control machining: Definitions and structure of CNC machine; Structures and guides, devices for automatic tool and workpiece changes, actuators, transducers; Government units.
The additive manufacturing: Introduction to additive processes; Advantages and disadvantages; Techniques for polymeric and metallic materials; Devices for additive manufacturing.
Industrial, collaborative and mobile robots: Structures and characteristics, Robots, units of government and assisted programming, integration with the external environment, robotic cells.
The IT dimension of manufacturing systems: Management of engineering data along the product lifecycle; Integration of solutions provided by PLM (Product Lifecycle Management), MES (Manufacturing Execution Systems) and ERP (Enterprise Resources Planning) approaches. The role of Industrial Internet of Things (IIoT).
(Course A). Introduction to production systems: Classification of production processes; Criteria for the selection of the production rates; Criteria for setting the level of automation and integration of processes; Performance and efficiency of manufacturing processes.
Performance analysis of production systems: The evaluation of the operating point of a manufacturing line; The analysis of the performance of a workstation though the queue models; The use of batching. Analytical models for the evaluation of manufacturing line performances; Discrete event softwares for the simulation of manufacturing line.
The numerical control machining: Definitions and structure of CNC machine; Structures and guides, devices for automatic tool and workpiece changes, actuators, transducers; Government units.
The additive manufacturing: Introduction to additive processes; Advantages and disadvantages; Techniques for polymeric and metallic materials; Devices for additive manufacturing.
Industrial, collaborative and mobile robots: Structures and characteristics, Robots, units of government and assisted programming, integration with the external environment, robotic cells.
The IT dimension of manufacturing systems: Management of engineering data along the product lifecycle; Integration of solutions provided by PLM (Product Lifecycle Management), MES (Manufacturing Execution Systems) and ERP (Enterprise Resources Planning) approaches. The role of Industrial Internet of Things (IIoT).
(Course A). The course consists of lectures, exercises, laboratories and project work. The lectures (about 40 percent of the course) introduce the general concepts related to different subjects, and provide tools and techniques to solve the related issues. The exercises and the laboratories (about 40 percent of the course) apply the general concepts to specific didactic case studies and require the development of a proper specific solution. Finally, the project work (about 20 percent of the course) consists of dealing with an industrial case study.
(Course A). The course consists of lectures, exercises, laboratories and project work. The lectures (about 40 percent of the course) introduce the general concepts related to different subjects, and provide tools and techniques to solve the related issues. The exercises and the laboratories (about 30 percent of the course) apply the general concepts to specific didactic case studies and require the development of a proper specific solution. Finally, the project work (about 30 percent of the course) consists of dealing with an industrial case study.
The project work involves a team of students in developing a solution for a proposed question arising from industry or academy. The result of the project work is a report where the student team illustrates the development of the solution.
(Course A) Lecture notes provided by the teacher
Hopp W.J., Spearman M.L., Factory physics, McGrawHill
Kalpakjian S., Manufacturing processes for Engineering Materials, Addison Wesley
Smid P. CNC programming handbook, Industrial Press Inc.
Gibson I., Rosen D.,Stucker B., Additive Manufacturing Technologies, Spinger
McMahom C., Browne J., CAD/CAM from Principles to Practice. Addison Wesley
(Course A) Lecture notes provided by the teacher
Hopp W.J., Spearman M.L., Factory physics, McGrawHill
Kalpakjian S., Manufacturing processes for Engineering Materials, Addison Wesley
Smid P. CNC programming handbook, Industrial Press Inc.
Gibson I., Rosen D.,Stucker B., Additive Manufacturing Technologies, Spinger
McMahom C., Browne J., CAD/CAM from Principles to Practice. Addison Wesley
Modalità di esame: Prova scritta (in aula); Elaborato progettuale in gruppo;
Exam: Written test; Group project;
...
The final mark (up to 30L/30) will be calculated based on the average value of the written exam grade and the project work grade for both Parts A and B of the course. Part A written exam (60-70 minute) will consist in theoretical questions and numerical problems appropriately structured in order to check the preparation level of students, especially in terms of the acquired knowledge. During the written exam students can use only documents provided by teachers. The acquired capabilities are assessed through a synthetic evaluation of the project work outcomes, which considers all the engineering, managerial, organizational, and regulatory aspects characterizing the definition of the project during its entire development.
Gli studenti e le studentesse con disabilità o con Disturbi Specifici di Apprendimento (DSA), oltre alla segnalazione tramite procedura informatizzata, sono invitati a comunicare anche direttamente al/la docente titolare dell'insegnamento, con un preavviso non inferiore ad una settimana dall'avvio della sessione d'esame, gli strumenti compensativi concordati con l'Unità Special Needs, al fine di permettere al/la docente la declinazione più idonea in riferimento alla specifica tipologia di esame.
Exam: Written test; Group project;
The final mark (up to 30L/30) will be calculated based on the average value of the written exam grade and the project work grade for both Parts A and B of the course. Part A written exam (60-70 minute) will consist in theoretical questions and numerical problems appropriately structured in order to check the preparation level of students, especially in terms of the acquired knowledge. During the written exam students can use only documents provided by teachers. The acquired capabilities are assessed through a synthetic evaluation of the project work outcomes, which considers all the engineering, managerial, organizational, and regulatory aspects characterizing the definition of the project during its entire development.
In addition to the message sent by the online system, students with disabilities or Specific Learning Disorders (SLD) are invited to directly inform the professor in charge of the course about the special arrangements for the exam that have been agreed with the Special Needs Unit. The professor has to be informed at least one week before the beginning of the examination session in order to provide students with the most suitable arrangements for each specific type of exam.