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Statistical Methods and Qualitative Approach for addressing of Production Quality Non Conformities

Lorenzo Ripepi

Statistical Methods and Qualitative Approach for addressing of Production Quality Non Conformities.

Rel. Paolo De Blasi. Politecnico di Torino, Corso di laurea magistrale in Automotive Engineering (Ingegneria Dell'Autoveicolo), 2022


Quality problems management is a crucial point for companies with high production volumes and marked demands. Quality issues are critical factor to manage, since they imply money and time losses, leading to a decline in customer’s perception of the brand. In this context, rapid and effective methodologies and tools are necessary, to streamline the trouble-shooting procedure, thus reducing wastes. The reactive approach phase to a problem is therefore managed in a logical and structured manner and is always followed by an extension of the knowledge that gives the possibility to act proactively. The aim of this work is to present a real case of response of the totality of quality team to an input given by a customer claim, from the presentation of the defect perceived by the customer, to the implementation of the permanent corrective actions through a detailed statistical and technical analysis performed both virtually and physically in the production line of the product. The thesis will follow this order:  Customer claim presentation, detailed description with photos and analysis performed  Identification of the problem, technical description of the critical production process phase, description of the process weaknesses and analysis of potential defects generated  Identification of a permanent corrective action, aimed at eliminating the defect arrived to the customer, supported by a detailed statistical analysis to validate the measure  Presentation of the final results and possible improvements in terms of quality of process robustness

Relators: Paolo De Blasi
Academic year: 2022/23
Publication type: Electronic
Number of Pages: 76
Additional Information: Tesi secretata. Fulltext non presente
Corso di laurea: Corso di laurea magistrale in Automotive Engineering (Ingegneria Dell'Autoveicolo)
Classe di laurea: New organization > Master science > LM-33 - MECHANICAL ENGINEERING
Aziende collaboratrici: FPT Industrial Spa
URI: http://webthesis.biblio.polito.it/id/eprint/25045
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