Abstract
While digitization is a strategic advantage in numerous industries such as the automotive industry or mechanical engineering, other industries like the German quarrying industry have not yet established a transformation towards a digitized industry. This leads to inefficient work and inaccurate forecasting capabilities. To address these challenges, digital platforms can incentivize digitization by supporting the capacity utilization and forecasting capability of these companies. In this paper, the quarrying industry is analyzed by a morphology and different types of companies are identified. Knowing the digital maturity of these companies and by determining the key factors to forecast demands and the capacity utilization, different operating models are derived. Combined with a morphology and the value creation system, different scenarios for the identification of platform services are examined. These scenarios are weighted in a utility analysis to get an operating model blueprint to develop and establish digital platforms in less digitized industries.
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Acknowledgements
The research project 21480 N is funded by the AiF within the framework of the program for the promotion of joint industrial research (IGF) of the Federal Ministry of Economics and Climate based on a resolution of the German Bundestag. Any opinions, findings, and recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the correspondent institutions.
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Müller, J., Lassen, J., Hoeborn, G., Conrad, R., Stich, V., Lober, N. (2022). Improving Forecasting Capability and Capacity Utilization in Less Digitized Industries Through Participation in the Platform Economy. In: Camarinha-Matos, L.M., Ortiz, A., Boucher, X., Osório, A.L. (eds) Collaborative Networks in Digitalization and Society 5.0. PRO-VE 2022. IFIP Advances in Information and Communication Technology, vol 662. Springer, Cham. https://doi.org/10.1007/978-3-031-14844-6_12
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