Abstract
With the advent of Next Generation Manufacturing, information and communications technologies have become an essential part of the production process, creating and providing data for all stakeholders. Given the high uncertainty in the likelihood of occurrence and the technical, economic, and societal impacts of associated transformations in production, we conducted a technology foresight study, in the form of a real-time Delphi analysis, to derive reliable future scenarios featuring the next generation of manufacturing systems. This chapter presents the interfaces dimension and describes each projection in detail, offering current case study examples and discussing related research, as well as implications for policy makers and firms. Interfaces play a major role in the provision of information. We discuss the trend of implicit user interfaces and the benefits of working from home. Implicit user interfaces are based on user inputs that are not directly aimed at giving a command, but are nevertheless captured, understood, and used by the computer system to provide a richer user experience. Working from home has many benefits, including reducing costs and dependencies. However, experts disagree on whether plant directors will manage multiple factories centrally via telework due to complete and real-time transparency of all operations in a digital system by 2030. The COVID-19 pandemic has shown that it is important to have such an infrastructure even if working from home may not be considered appropriate in many manufacturing companies. Mobile apps that support production management are one key issue in this context.
[Abstract generated by machine intelligence with GPT-3. No human intelligence applied.]
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Acknowledgment
Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy – EXC-2023 Internet of Production – 390621612.
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Baier, R. et al. (2022). Interface Design in Next Generation Manufacturing. In: Piller, F.T., Nitsch, V., Lüttgens, D., Mertens, A., Pütz, S., Van Dyck, M. (eds) Forecasting Next Generation Manufacturing. Contributions to Management Science. Springer, Cham. https://doi.org/10.1007/978-3-031-07734-0_7
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