Abstract
Industrie 4.0 describes the vision of future production influenced by digitalization. Despite the increasing degree of automation, human factors will still play an important role in order to facilitate a highly flexible production process. This places new requirements on the workforce through new technologies, organizational forms, and workflows. Workforce management needs to consider new competencies required by digitalization and Industrie 4.0. The increasing trend towards the development of assistance systems should be accompanied by the training of workers on the shopfloor for the interaction with and handling of these systems. This paper presents the Toolbox Workforce Management 4.0 for assessing the readiness of human factors and work environments towards the digital manufacturing. The defined application fields and development stages in each category of the toolbox help to characterize the current state of a company in regards to the human factors requirements and subsequently identify categories where actions are required to maximize the benefits of Industrie 4.0.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Kagermann, H., Wahlster, W., Helbig, J.: Recommendations for implementing the strategic initiative Industrie 4.0. Securing the future of German manufacturing industry (2013)
Spath, D. (ed.): Produktionsarbeit der Zukunft - Industrie 4.0. Fraunhofer Verlag, Stuttgart (2013)
Anderl, R., Anokhin, O., Arndt, A.: Effiziente Fabrik 4.0 Darmstadt - Industrie 4.0 Implementierung für die mittelständige Industrie. In: Sendler, U. (ed.) Industrie 4.0 grenzenlos, pp. 121–136. Springer, Heidelberg (2016)
Hirsch-Kreinsen, H.: Wandel von Produktionsarbeit - “Industrie 4.0”. WSI Mitt. 6, 421–429 (2014). Hans-Böckler-Stiftung
Frey, C.B., Osborne, M.A.: The Future of Employment: How Susceptible Are Jobs to Computerisation. Oxford Martin School, University of Oxford, Oxford (2013)
Dengler, K., Matthes, B.: Folgen der Digitalisierung für die Arbeitswelt. Substituierbarkeitspotenziale von Berufen in Deutschland, Nürnberg (2015)
Leopold, T.A., Ratcheva, V., Zahidi, S.: The future of jobs: Employment skills and workforce strategy for the fourth industrial revolution. Cologne (2016)
Anderl, R., Fleischer, J.: Guideline Industrie 4.0. Guiding Principles for the Implementation of Industrie 4.0 in Small and Medium Sized Businesses. VDMA-Verlag, Frankfurt am Main (2015)
Wang, Y., Wang, G., Anderl, R.: Generic procedure model to introduce Industrie 4.0 in small and medium-sized enterprises. In: Ao, S.-I., Douglas, C.C., Grundfest, W.S. (eds.) Proceedings of the World Congress on Engineering and Computer Science 2016, WCECS 2016, San Francisco, USA, pp. 971–976. Newswood Limited, San Francisco, 19–21 October 2016
Galaske, N., Anderl, R.: Approach for the development of an adaptive worker assistance system based on an individualized profile data model. In: Schlick, C., Trzcieliński, S. (eds.) Advances in Ergonomics of Manufacturing: Managing the Enterprise of the Future, pp. 543–556. Springer, Cham (2016)
Strang, D., Galaske, N., Anderl, R.: Dynamic, adaptive worker allocation for the integration of human factors in cyber-physical production systems. In: Schlick, C., Trzcieliński, S. (eds.) Advances in Ergonomics of Manufacturing: Managing the Enterprise of the Future, pp. 517–529. Springer, Cham (2016)
BMWI: Mittelstand 4.0 - Digitale Produktions- und Arbeitsprozesse. http://www.mittelstand-digital.de/DE/Foerderinitiativen/mittelstand-4-0.html
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Galaske, N., Arndt, A., Friedrich, H., Bettenhausen, K.D., Anderl, R. (2018). Workforce Management 4.0 - Assessment of Human Factors Readiness Towards Digital Manufacturing. In: Trzcielinski, S. (eds) Advances in Ergonomics of Manufacturing: Managing the Enterprise of the Future. AHFE 2017. Advances in Intelligent Systems and Computing, vol 606. Springer, Cham. https://doi.org/10.1007/978-3-319-60474-9_10
Download citation
DOI: https://doi.org/10.1007/978-3-319-60474-9_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-60473-2
Online ISBN: 978-3-319-60474-9
eBook Packages: EngineeringEngineering (R0)