Informazioni di Smart Factories | DidatticaWEB

Generali:

Dipartimento: Ingegneria
Settore Ministeriale: ING-IND/17
Codice di verbalizzazione: 80300227
Metodi di insegnamento: Frontale
Metodi di valutazione: Scritto E Orale
Prerequisiti: No specific prerequisites are required. Knowledge of basic notions of industrial plants and the main components of mechanical plants is desirable but not essential.
Obiettivi: LEARNING OUTCOMES: Provide the knowledge necessary to evaluate, plan and manage the digital transition in industrial environments, starting from the study of current technological innovations, recognizing opportunities and critical issues in this new scenario. KNOWLEDGE AND UNDERSTANDING The course provides knowledge and understanding of: - Characteristics, constituent elements, drivers and enabling technologies of Industry 4.0 and of Smart Factories in general - Enabling technologies for the Smart Factory: Industrial IoT, Big Data, Data Analytics, Machine Learning and Deep Learning, Virtual Reality, Augmented Reality, Mixed Reality, Simulation, Cloud, Edge Computing, 5G, Cybersecurity, Robotics, Human collaborative Systems, Automation and System Integration - Management principles of the digital transition in industrial plants and maturity models - Fields of application within Smart Factories: management and efficient use of energy, maintenance management, logistics, supply chain, production management and product quality control (Smart Energy Management, Smart Maintenance , Prognostics and Health Management, Digital Supply Chain, Smart Logistics, Smart Production Planning, Digital Shop Floor Management) - Cyber-Physical System (CPS) and Digital Twin: Standards, reference architectures, regulatory models and implementation methods - Evolution of the role of the operator (Smart Operator) - Industry 5.0 and future development trends APPLYING KNOWLEDGE AND UNDERSTANDING: At the end of the course the student will be able to: - Identify opportunities for innovation by taking advantage of the enabling technologies of Industry 4.0 within Smart Factories in order to promote the evolution of energy management, maintenance, logistics, supply chain, production and quality control of product. - Analyze production systems, model their problems, developing a systematic approach to the implementation of "smart" solutions in industrial environments. - Operate within digital transition implementation projects and contribute to the development of Digital Twin projects in industrial environments. MAKING JUDGEMENTS: The course favors the development of independent judgment by accustoming the student to analyze situations based on the data available and helps to develop a critical vision. COMMUNICATION SKILLS: The course favors the development of the ability to communicate orally or in writing using specific technical terms, work on a project and present the results in a concise and effective way. LEARNING SKILLS: The course helps to develop the ability to read and understand university-level scientific texts in English. Through the assignment, the course also develops the ability to critically analyze and develop innovative solutions, also independently drawing on the scientific literature on the subject.

Didattica:

A.A.: 2025/2026
Canale: UNICO
Crediti: 6

Classe virtuale:

Nome classe: SANTOLAMAZZA-80300227-SMART_FACTORIES
Link Microsoft Teams: Link
Docente: SANTOLAMAZZA ANNALISA