Methodology to assess the utility potentials of cyber-physical systems´ field data - a literature review and rough solution concept

A great share of new and data driven new business models are enabled by cyber-physical systems (CPS) and more specifically by their field data, being generated during the CPS &use phase. Companies within the manufacturing industry as manufacturer and provider of CPS need to position themselves strategically against new competitors, e.g. from the IT sector, by utilizing digital utility potentials of CPS. Yet most of those companies still lack a basic understanding, which field data can generate added value and enable certain utility potentials. Due to a lack of knowledge, of which field data is usable application, there can be no systematic prioritization ("Which data is relevant?") and no target-oriented provision for potential customers. Hence, this paper develops a model, which supports manufacturing companies in assessing, if a generic set of field data generated by CPS is able to provide value added for the user.