Industry 4.0 represents the last evolution of manufacturing. With respect to Industry 3.0, which introduced the digital interconnection of machinery with monitoring and control systems, the fourth industrial revolution extends this concept to sensors, products and any kind of object or actor (thing) involved in the process. The tremendous amount of data produced is intended to be analyzed by applying methods from artificial intelligence, machine learning and data mining. One of the objectives of such analysis is Zero Defect Manufacturing, i.e., a manufacturing process where acquired data during the entire life cycle of products are used to continuously improve the product design in order to provide customers with unprecedented quality guarantees. In this paper, we discuss the goals of the Electrospindle 4.0 project, which aims at applying Zero Defect Manufacturing principles to the production of spindles.
Electrospindle 4.0: Towards Zero Defect Manufacturing of Spindles / Amadori, Francesco; Bardani, Michele; Bernasconi, Eleonora; Cappelletti, Federica; Catarci, Tiziana; Drudi, Gianluca; Ferretti, Mario; Foschini, Luigi; Galli, Paolo; Germani, Michele; Grosso, Giuseppe; Leotta, Francesco; Mathew, JERIN GEORGE; Manuguerra, Luca; Mariucci, Nicola; Mecella, Massimo; Monti, Flavia; Pierini, Fabrizio; Rossi, Marta. - 3144:(2022), pp. 1-7. (Intervento presentato al convegno Joint Proceedings of RCIS 2022 Workshops and Research Projects Track, co-located with the 16th International Conference on Research Challenges in Information Science (RCIS 2022) Barcelona, Spain, May 17-20, 2022. tenutosi a Barcelona (Spain)).
Electrospindle 4.0: Towards Zero Defect Manufacturing of Spindles
Eleonora Bernasconi;Tiziana Catarci;Francesco Leotta;Jerin George Mathew;Massimo Mecella;Flavia Monti;
2022
Abstract
Industry 4.0 represents the last evolution of manufacturing. With respect to Industry 3.0, which introduced the digital interconnection of machinery with monitoring and control systems, the fourth industrial revolution extends this concept to sensors, products and any kind of object or actor (thing) involved in the process. The tremendous amount of data produced is intended to be analyzed by applying methods from artificial intelligence, machine learning and data mining. One of the objectives of such analysis is Zero Defect Manufacturing, i.e., a manufacturing process where acquired data during the entire life cycle of products are used to continuously improve the product design in order to provide customers with unprecedented quality guarantees. In this paper, we discuss the goals of the Electrospindle 4.0 project, which aims at applying Zero Defect Manufacturing principles to the production of spindles.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
