Due to advancements in manufacturing digitalization and connectivity; industry 4.0,manufacturing organizations are seeing an increase of data volume, velocity, and variety.Information Systems (IS) such as Enterprise Resource Planning (ERP), Product LifecycleManagement (PLM), and Manufacturing Execution System (MES) are used to handle thesedata compositions within organizations. The IS have different purposes, creating anorganizational, procedural as well as a technical difficulty to capture added value from data.Integrating people, processes, and technology yields a synergetic effect where data value iseffectively harnessed to create business insights and thus enable better decision-making indelivering value to the end-customer. This study sought to examine how a complex manufacturing organization can draw benefitsfrom the synergy effect of integrated IS, and consequently find factors that positively affectthe level of integration. The study evaluates a Swedish manufacturing company's presentintegration maturity and compares it to best practices found in the literature. The analysiscaptures gaps between the current situation and best practices, allowing for the formulationof areas of improvement. The as-is situation of the studied company was assessed with the help of an IS integrationmaturity model. A literature review was conducted to complete the maturity model. Aqualitative data collection was conducted to help both assess current situation and provideappropriate recommendations.  Findings of the study imply that there are different approaches for integrating separate orisolated components. These approaches depend on the interdependence and complexity oftasks. When interdependence is simple, different forms of standardization is most effective.On the other hand, when interdependence is complex, coordination becomes more crucial.Complex tasks require standardization of norms, while simple tasks require standardizationof output. Solutions and future aspects have been provided for collecting data value in a manufacturingenvironment. Mapped out various academic research regarding integrations and comparedit to a real-world case in order to find commonalities and differences. Identified a missingCritical Success Factor in an existing but aged assessment model for IS integrations.

Ce travail s'intéresse à la gestion d'information techniques et connaissances métiers issues de la production pour assurer l'interopérabilité et la continuité de la chaîne numérique. Dans un contexte d'entreprise étendue et de développement des technologies de l’information pour l'usine du futur, l'industrie aéronautique s'oriente vers une intégration flexible et agile des phases de conception et fabrication pour l'obtention de pièces bonnes du premier coup. C'est pour assurer la maîtrise des processus et la capitalisation des savoir-faire métier issus de la fabrication que ces travaux adressent la problématique suivante : comment élaborer un modèle d'interopérabilité de la chaîne numérique d'industrialisation, pour assurer une intégration agile de la conception et de la fabrication ? Pour ce faire, nous définissons deux propositions : OntoSTEP-NC pour permettre l'extraction et la structuration des données issues de la fabrication et Closed-Loop Manufacturing pour permettre l'intégration et la réutilisation des connaissances métiers capitalisées au niveau de l'industrialisation. Les apports de ces propositions se retrouvent dans la définition d'un cadre d'interopérabilité pour l'usine du futur mais également dans les enjeux tels que la définition de bonnes pratiques pour l'entreprise étendue en vue d'une harmonisation des processus de fabrication. Ces travaux ont été validés au travers d'un démonstrateur sur un cas d'étude industriel comportant plusieurs scénarii. / This work focuses on the knowledge and the data management extracted from the manufacturing to ensure the interoperability in the digital chain. According to the extended enterprise and the factory of the future context, the aeronautics manufacturers tend to a design and manufacturing integrated platform in order to get a right part the first time.This work focus on manufacturing process control and capitalization of know-how from the manufacturing aiming at answering the following issue : How to enable interoperability for the digital production process in order to ensure an integrated and agile design and manufacturing ? This issue is addressed with two proposals : OntoSTEP-NC which focuses on how to model and structure the manufacturing knowledge from the CNC machine and Closed-Loop Manufacturing which focuses on how to re-use and integrate the information feedback from manufacturing to process engineering. Both combined those two proposals address the main issue of this work defining an interoperability framework for the factory of the future and address trends like the definition of guidelines for manufacturing in extended enterprise context. This work has been validated through a demonstrator and an industrial case study with various scenarios.