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Control of non-conforming material and quality improvement with Statistical Process Control

Sina Bagheri

Control of non-conforming material and quality improvement with Statistical Process Control.

Rel. Gianfranco Genta. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Gestionale (Engineering And Management), 2022


The majority of firms designated as world-class manufacturers and others strive to improve the quality of their goods in order to strengthen customer connections and maintain their position in competitive marketplaces. In order to produce a superior product at the end of the line, businesses must be aware of the significance of the input raw materials and any subcomponents. They care about the significance of product quality in order to eliminate customer complaints, reduce the risk of such complaints over the product’s life cycle, reduce the cost of bad quality, and increase the company’s bottom line profit. But obtaining this degree of assurance is difficult and needs a great deal of focus and best practices for regulating the flow until they produce output that matches client specifications. The continuation of this research focuses on the ways that help them establish a better management system and regulate non-conforming material that does not meet client requirements, as well as how industries avoid exploiting the use of substandard material in their production processes. To achieve the goal that is aligned with what customers acquire, the fundamental requirements of a quality management system must be integrated with other methods, such as 8D problem-solving and SPC, in order to track the process and ensure that the actions taken for problem-solving are assisting the process in returning to normal standards. Since the 8D problem-solving approach is a documented procedure for all of its stages, we may take the corrective actions identified in the method for any future problems of a similar kind. Utilizing all integrated processes and procedures will aid us in achieving our ultimate objective of continuous improvement. Quality, which is the proportion of actual goods over anticipated goods, is one of the most influential factors in calculating the OEE as a key performance measure. Therefore, achieving a larger proportion of quality will improve the overall effectiveness of our equipment.

Relators: Gianfranco Genta
Academic year: 2022/23
Publication type: Electronic
Number of Pages: 93
Additional Information: Tesi secretata. Fulltext non presente
Corso di laurea: Corso di laurea magistrale in Ingegneria Gestionale (Engineering And Management)
Classe di laurea: New organization > Master science > LM-31 - MANAGEMENT ENGINEERING
Aziende collaboratrici: OLSA spa
URI: http://webthesis.biblio.polito.it/id/eprint/24236
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