Description
Digital technologies from the areas of the internet of things, cyber-physical production systems, cloud and artificial intelligence offer the manufacturing industry new potential for product and process optimization. With digitalization, companies are striving not only to improve the classic target parameters of time, quality and costs, but also to increase flexibility and responsiveness with regard to new business models and external influences. The complete digital transformation in the production environment, which is characterized by a heterogeneous plant and system landscape, requires not only technical but also cultural change. Due to rapidly developing technologies, companies and their employees are required to have a high willingness to change as well as a high ability to adapt and innovate in addition to maintaining the core production processes. Due to this immanent social and technical complexity, the implementation of the digital transformation poses challenges for manufacturing companies. Subject and goal of this thesis is to define a method-based procedure model that can be used to implement the complex transformation process in a comprehensive and application-agnostic manner. The formulation of an integrated process model and its methodical design address the resolution of practical challenges in the field of digitalization. The described solution approach is validated in various industrial application scenarios. The successful implementation of six digital solutions of the technology areas internet of things, data analytics and cloud computing proves the correctness and applicability of the methodology, whose specification contributes to the implementation of information systems for digitalization in manufacturing companies.
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