Controlling non-conformity propagation in low volume manufacturing

This thesis proposes an interdisciplinary approach of quality in manufacturing production systems that combines quality engineering and organization studies. It is interested in the risk of non-conformities that can propagate in the delivery process and reach the final customer. It builds upon case studies conducted at Siemens ETHS, a company manufacturing low volumes of customized high-voltage equipment. First, a quality methodology is proposed to improve the detection system of non-conformities by identifying its weaknesses and acting on them. A second approach proposes organizational mechanisms to avoid non-conformity propagation between organizational boundaries and improve the organizational resilience in case of transboundary problems. Both approaches have been implemented in the company under study and then extended to another company of the group operating in the high volume field, what enabled the researcher to draw academic conclusions as well as to build practical knowledge for the industrial partners.

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Source https://theses.hal.science/tel-00819809
Author Fiegenwald, Valérie
Maintainer CCSD
Last Updated May 11, 2026, 06:04 (UTC)
Created May 11, 2026, 06:04 (UTC)
Identifier NNT: 2012GRENI058
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Système d’Information, conception RobustE des Produits (G-SCOP_SIREP) ; Laboratoire des sciences pour la conception, l'optimisation et la production (G-SCOP) ; Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)
creator Fiegenwald, Valérie
date 2012-09-18T00:00:00
harvest_object_id 0e95b679-513f-4030-9097-b1c0c18e8535
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-03-31T00:00:00
set_spec type:THESE