Pierpio Lupo
Data Analysis and Digitalization for the Industry 4.0.
Rel. Giulia Bruno, Emiliano Traini. Politecnico di Torino, Corso di laurea magistrale in Automotive Engineering (Ingegneria Dell'Autoveicolo), 2021
Abstract
The objective of this thesis is to support the digital transformation in manufacturing operations analysing dataset and using several tools of I4.0, in order to provide improvement actions which, allow company increase flexibility and productivity. TE Connectivity is one of the most important electronic leaders worldwide that designs and manufactures electronic connections for several fields. After the digitalization in Assembly department with some pilot cycles, the company needed to extend this transformation at the most profitable department in terms of costumers, but also that one that needs the highest number of inspections due to the products’ complexity, in order to enhance its performances and evaluate potential market' opportunities.
The thesis describes which are the most powerful tools used in the shop floor to manage the Big Data generated by quality process, in order to enable managers, supervisors and operators make more accurate decisions at any level during the production operations
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