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Design of an innovative model to assess second-hand vehicles reliability. From failure data to statistical distributions: PDR index.

Gabriele Cacciato, Fabio Salvai

Design of an innovative model to assess second-hand vehicles reliability. From failure data to statistical distributions: PDR index.

Rel. Silvano Guelfi, Paolo Saluto, Laura Vergani. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Meccanica (Mechanical Engineering), Corso di laurea magistrale in Ingegneria Meccanica, 2020

Abstract:

Definition of an innovative model to estimate the level of deterioration of a used vehicle, in particular its statistics reliability, starting from the analysis of failure data. The work has the vehicle itself as reference object and it is detailed in its main components and sub-systems with the ultimate aim of providing the modeling and the quantification of a global index (PDR) of system’s reliability. The final result of the project is the definition of the statistical model in the form of an application software (PDR Toolbox) with a user-friendly interface that allows a direct interaction with the customer. Together with a strong emphasis on statistical framework and algorithms’ description, business exploitation of the innovative concept of PDR is also discussed by presenting a potential business model and the competitive advantage for car dealers and other stakeholders involved in the initiative.

Relators: Silvano Guelfi, Paolo Saluto, Laura Vergani
Academic year: 2020/21
Publication type: Electronic
Number of Pages: 149
Additional Information: Tesi secretata. Fulltext non presente
Subjects:
Corso di laurea: Corso di laurea magistrale in Ingegneria Meccanica (Mechanical Engineering), Corso di laurea magistrale in Ingegneria Meccanica
Classe di laurea: New organization > Master science > LM-33 - MECHANICAL ENGINEERING
Ente in cotutela: TECHNISCHE UNIVERSITEIT EINDHOVEN - Department of Mechanical Engineering (PAESI BASSI)
Aziende collaboratrici: UNSPECIFIED
URI: http://webthesis.biblio.polito.it/id/eprint/15736
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