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 16th Research Challenges in Information Science Workshops and Research Projects Track, RCIS-WS and RP 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.
2022
Joint 16th Research Challenges in Information Science Workshops and Research Projects Track, RCIS-WS and RP 2022
Industry 4.0; Zero Defect Manufacturing; Design for X; Artificial Intelligence
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
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 16th Research Challenges in Information Science Workshops and Research Projects Track, RCIS-WS and RP 2022 tenutosi a Barcelona (Spain)).
File allegati a questo prodotto
File Dimensione Formato  
Amadori_Electrospindle_2022.pdf

accesso aperto

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Creative commons
Dimensione 874.79 kB
Formato Adobe PDF
874.79 kB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1638545
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact