Abstract
The utilization of Digitalization and Automation (DA) is currently one of the determining factors of increasing prosperity, productivity, and efficiency. Although widely promoted and incentivized by policy- and decision makers, industrial enterprises seem reluctant to actively push DA-development in their organizations. From a scientific point of view, we find missing operationalization resulting in a lack of analysis and understanding of basic DA-elements in real production environments as the main barrier towards Industry 4.0- and DA-implementation. Thus, in this paper we introduce a novel approach to transfer abstract Industry 4.0-concepts into industrial environments through the utilization of basic concepts of industrial digitalization and automation. Based on this framework we develop a model to assess the degree of digitalization and automation of value creation factors and organizational factors (DAVO). Knowledge about the company’s DAVO-degree enables their decision makers to derive operational Industry 4.0 target-states, define strategies thus decide targeted investments into organizational and technological developments. We applied the developed and operationalized measurement-metric and model in an empirical study in the Austrian industry assessing the DAVO-degree of 200 industrial companies. Besides insights into their maturity status, we find clear evidence in our study for the need of operationalized Industry 4.0-concepts. Furthermore, the DAVO-approach seems to encourage practitioners to reflect their organization’s DA-status with more accuracy thus enables them to derive more targeted and sustainable strategic steps.
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References
Schumacher, A., Nemeth, T., Sihn, W.: Roadmapping towards industrial digitalization based on an Industry 4.0 maturity model for manufacturing enterprises. In: Proceedings 12th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME, pp. 409–414. Gulf of Naples (2018)
Schumacher, A., Erol, S., Sihn, W.: A maturity model for assessing Industry 4.0 readiness and maturity of manufacturing enterprises. In: Proceedings 6th CARV International Conference on Changeable, Agile, Reconfigurable and Virtual Production, pp. 161–166. Bath (2016)
Plattform Industrie 4.0 (2019) Plattform Industrie 4.0 homepage. https://www.plattform-i40.de/PI40/Navigation/EN/Industrie40/WhatIsIndustrie40/what-is-industrie40.html
Berghaus, S., Back, A.: Gestaltungsbereiche der digitalen transformation von unternehmen: entwicklung eines reifegrademodells. Die Unternehmung 70, 98–123 (2016)
Åsa, F., Stahre, J., Dencker, K.: Level of automation analysis in manufacturing systems. In: Karwowski, W., Salvendy, G. (eds.) Advances in Human Factors, Ergonomics, and Safety in Manufacturing and Service Industries, pp. 233–242. CRC Press (2016)
Kotarba, M.: Measuring digitalization – key metrics. Found. Manag. 9, 123–138 (2015)
Booz & Company (2011) Stragedyand homepage. https://www.strategyand.pwc.com/media/file/Strategyand-Measuring-Industry-Digitization-Leaders-Laggards-Digital-Economy.pdf
Deloitte (2017) Deloitte homepage. https://www2.deloitte.com/content/dam/Deloitte/global/Documents
Boston Consulting Group (2018) Boston Consulting Group homepage. https://www.bcg.com/capabilities/technology-digital/digital-acceleration-index.aspx
PricewaterhouseCoopers (2018) Pricewaterhouse Coopers homepage. https://digital.pwc.com/en/products/digital-fitness.html
Accenture website (2016). https://www.accenture.com
Fraunhofer ISI (2018) Fraunhofer ISI homepage. https://www.isi.fraunhofer.de/de/themen
Schumacher, A., Erol, S., Sihn, W.: Automation, digitization and digitalization and their implications for manufacturing process. In: Proceedings International Scientific Conference “Innovation and Sustainability”, Bucharest (2016)
Ganzarain, J., Nekane, E.: Three stage maturity model in SME’s toward industry 4.0. J. Ind. Eng. Manag. 9, 1119–1128 (2016)
Jodlbauer, H., Schagerl, M.: Reifegradmodell industrie 4.0 - ein vorgehensmodell zur identifikation von industrie 4.0 potentialen. In: Proceedings Informatik, pp. 1473–1487. Bonn (2016)
Klötzer, C., Pflaum, A.: Toward the development of a maturity model for digitalization within the manufacturing industry‘s supply chain. In: Proceedings 50th HICSS Hawaii International Conference on System Sciences, Waikoloa Village (2017)
de Carolis, A., Macchi, M., Negri, E., Terzi, S.: A maturity model for assessing the digital readiness of manufacturing companies. In: Lödding, H., Riedel, R., Thoben, K.D. (eds.) Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing, pp. 13–20. Springer Verlag, Heidelberg (2017). https://doi.org/10.1007/978-3-319-66923-6_2
Rößler, M.R., Haschemi, M.: Smart factory assessment (SFA): eine methodik zur integralen reifegradbewertung von produktion und logistik hinsichtlich lean und industrie 4.0. ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb 112, 699–703 (2017)
Leyh, et al.: Assessing the IT and software landscapes of industry 4.0-enterprises: the maturity model SIMMI 4.0. Bus. Inf. Process. 277, 103–119 (2017)
Schott, P., et al.: A maturity model to organize the multidimensionality of digitalization in smart factories. In: Yilmaz, Ö.F., Tüfekçí, S. (eds.) Applied Optimization Methodologies in Manufacturing Systems, pp. 20–42. IGI Global, Nürnberg (2017)
Issa, A., Hatiboglu, B., Bildstein, A., Bauernhansl, T.: Industrie 4.0 roadmap: framework for digital transformation based on the concepts of capability maturity and alignment. In: Proceedings 51th CIRP Conference on Manufacturing Systems, pp. 973–978, Stockholm (2018)
Rajnai, Z., Kocsis, I.: Assessing industry 4.0 readiness of enterprises. In: Proceedings 16th IEEE World Symposium on Applied Machine Intelligence and Informatics (SAMI), pp. 225–230, Kosice (2018)
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Research and results presented in this paper were fully enabled by funding from the Austria Research Promotion Agency (FFG)/grand no. 872637.
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Schumacher, A., Schumacher, C., Sihn, W. (2020). Industry 4.0 Operationalization Based on an Integrated Framework of Industrial Digitalization and Automation. In: Durakbasa, N., Gençyılmaz, M. (eds) Proceedings of the International Symposium for Production Research 2019. ISPR ISPR 2019 2019. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-31343-2_26
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