DOI: 10.5176/2251-1970_BizStrategy18.121
Authors: Günther Schuh and Ramon Kreutzer
Abstract: Digitization and data driven business models are changing the global competition. The digital connectivity of industrial products is growing with increasing speed due to increasingly cheaper and more powerful sensors. The field data generated in this way offers potential for manufacturing companies to differentiate themselves from competitors as well as to counteract the increasing commoditization of physical products. With the help of cyber-physical systems (CPS), a wide variety of utility potentials can be tapped for various players in the environment of manufacturing companies. However, in order to realize the utility potentials, companies need to know, which field data is capable to realize which kind of utility potentials. As a starting point of such an assessment, cyber-physical systems´ field data needs to be described in a general manner. The aim of this paper is thus to derive a generic description model for cyberphysical systems´ field data. Since the focus of the study is to describe the field data with regard to its ability to support and enable certain utility potentials of CPS, the description model focusses on describing the data content. As a result, over 70 different data types in 7 clusters were identified, covering all relevant sources of CPS´s field data: Sensors & Actuators, the user as such and his interaction with the CPS as well as systemimmanent data.
Keywords:Cyber-physical systems, field data, smart services, digitization.
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