Determining a Promising Industry 4.0 Target Position

Decision-making for companies taking into account external influences

Christoph Pierenkemper, Jannik Reinhold, Roman Dumitrescu ORCID Icon, Jürgen Gausemeier
JournalIndustrie 4.0 Management
Issue Volume 35, 2019, Edition 5, Pages 30-34
Open Accesshttps://doi.org/10.30844/I40M_19-5_S30-34
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Abstract

Using industry 4.0 maturity models, companies can systematically record their performance in the context of industry 4.0. When the status quo is determined, the question “Where do we want to be in future?” is usually associated at the same time. However, companies are not always in a position to introduce what is fundamentally possible. Therefore, this question is not trivial. If a company is supposedly aware of its I4.0 target position, external influences often lead to the fact that the achievement of the target is made more difficult or hindered. It is therefore important to take these circumstances into account. This paper shows how environmental developments can be taken into account when determining a promising I4.0 target position. The target position forms the starting point for the implementation of industry 4.0 in the company.

Keywords

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Bibliography

[1] Schuh, G.; Anderl, R.; Gausemeier, J.; ten Hompel, M.; Wahlster, W. (Hrsg.): Industrie 4.0 Maturity Index – Die digitale Transformation von Unternehmen gestalten (acatech STUDIE). München 2017
[2] Kese, D.; Terstegen, S.: Benchmark Reifegradmodelle, Wie reif ist ein Unternehmen für die Industrie 4.0? In: IEE – Industrie Engineering Effizienz 10 (2017), S. 30-34
[3] Ulich, E.: Arbeitssysteme als Soziotechnische Systeme – eine Erinnerung. In: Psychologie des Alltagshandelns 6 (2013) 1, S. 4-12.
[4] Christiansen, S.-K.: Methode zur Klassifikation und Entwicklung reifegradbasierter Leistungsbewertungs- und Leistungssteigerungsmodelle. Paderborn 2009.
[5] Gausemeier, J.; Plass, C.: Zukunftsorientierte Unternehmensgestaltung – Strategien, Geschäftsprozesse und IT-Systeme für die Produktion von morgen. 2. Auflage. München 2014.
[6] Pierenkemper, C.; Drewel, M.; Gausemeier, J.: Zukunftsorientierte Leistungssteigerung von Unternehmen durch Industrie 4.0. In: Smajic, H. (Hrsg.): Tagungsband AALE 2018. Köln 2018.
[7] Karl, F.: Bedarfsermittlung und Planung von Rekonfigurationen an Betriebsmitteln. München 2017.

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