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Governance Structures in Next Generation Manufacturing

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Forecasting Next Generation Manufacturing

Abstract

Next Generation Manufacturing describes a vision of an open network of sensors, assets, products, and actors which are not restricted to a focal organization or a closed supply chain. A core principle of the digital shadow is that it collects and shares data about the usage of products within and across organizations, allowing them to optimize operations, investment decisions, innovation processes, or the generation of new products. Sharing of usage data, however, requires new forms of governance, both internally and externally. Given the high uncertainty in the likelihood of occurrence and the technical, economic, and societal impacts of these concepts, 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 governance 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. For example, according to the experts, subscription models for production machines will be the new industry standard by 2030. This is due to the changing needs of manufacturers and customers, as well as the impacts of digitization and Industry 4.0. Customers would benefit from guaranteed machine availability and lower investment costs, while manufacturers would benefit from increased customer satisfaction and longer-term business relationships.

[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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Correspondence to Marc Van Dyck .

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Brecher, C. et al. (2022). Governance Structures 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_4

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