Operations variability and line balancing management in a premium assembly line by machine learning analytics

Gaetano Moceri

Operations variability and line balancing management in a premium assembly line by machine learning analytics.

Rel. Andrea Acquaviva. Politecnico di Torino, Master of science program in Ict For Smart Societies, 2018

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Abstract:	Industry 4.0 and World Class Manufacturing
Relators:	Andrea Acquaviva
Academic year:	2017/18
Publication type:	Electronic
Number of Pages:	90
Subjects:
Corso di laurea:	Master of science program in Ict For Smart Societies
Classe di laurea:	New organization > Master science > LM-27 - TELECOMMUNICATIONS ENGINEERING
Aziende collaboratrici:	FCA ITALY SPA
URI:	http://webthesis.biblio.polito.it/id/eprint/7458

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