Skip to main content

Industry 4.0 beyond the Factory: An Application to Forestry


Industries like paper, packaging or furniture heavily rely on wood as basic resource, making the forestry sector an important part of the economy. However, the woods are not only an economic resource, but also a public good with significant cultural and ecological importance. This results in numerous boundary conditions and regulations, which aim at ensuring sustainable use. In combination with a high degree of division of labor and highly decentralized work processes within the sector, this results in highly complex value-added chains with a large number of stakeholders. Numerous innovative technological solutions exist, that aim at solving individual problems, yet, an overarching approach and infrastructure allowing for the realization of integrated value added networks is still missing.

Based on the manufacturing industries experience with Industry 4.0, we present a new concept Forestry 4.0. Its technical realization involves connecting wood resources, data sets, existing and new hard- and software components as well as stakeholders into a novel Internet of Things, Services, and People in forestry. Its nodes are Digital Twins which describe their corresponding real world artifacts, predict control their behavior, and integrate them into surrounding systems processes. In this way, Forestry 4.0 aims at integrating currently isolated artifacts and at revealing the potential of new technological solutions and business models. Finally, we show first steps of implementing this concept within a multidomain simulation system and present a strategy for the concepts dissemination into the forestry sector.


  • Industry 4.0
  • Forestry
  • Forestry 4.0
  • Digital Twin

This is a preview of subscription content, access via your institution.

Buying options

USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
USD   99.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Glossar Plattform Industrie 4.0, 2018.

    Google Scholar 

  2. Fernando Alfredo Auat Cheein and Ricardo Carelli. Agricultural robotics: Unmanned robotic service units in agricultural tasks. IEEE Industrial Electronics Magazine, 7(3):48–58, 2013.

    CrossRef  Google Scholar 

  3. A Buecken and J Rossmann. Modelling of Forest Landscapes from Remote Sensing LiDAR Data and Aerial Photos. In Capturing Reality - 3D, Laser Scanning and LiDAR Technologies Forum 2015, 23-25 November, 2015, Salzburg, Austria, pp. 1-6. Diversified Business Communications UK Ltd, 2016.

    Google Scholar 

  4. Wolfgang Dorst, Carsten GLohr, Thomas Hahn, Fank Knafla, Ulrich Loewen, Roland Rosen, Thomas Schiemann, Friedrich Vollmar, Christoph Winterhalter, Berhard Diegner, Johannes Diemer, Mathias Dümmler, Stefan Erker, Werner Herfs, Claus Hilger, Lutz Jänicke, Jürgen Jasperneite, Johannes Kalhoff, and Uwe Kubach. Umsetzungsstrategie Industrie 4.0. - Ergebnisbericht der Plattform Industrie 4.0. Plattform Industrie 4.0, 2015.

    Google Scholar 

  5. M Kahn and M Pretzsch. Parameterisation and validation of the growth model SILVA 2.2. for pure and mixed stands of spruce, fir, pine, beech, oak and alder. In Jahrestagung der DVFFA Sektion Ertragskunde, Kevelaer, 1998.

    Google Scholar 

  6. Wolfgang Mahnke, Stefan-Helmut Leitner, and Matthias Damm. OPC Unified Architecture. Springer Berlin Heidelberg, Berlin, Heidelberg, 2009.

    Google Scholar 

  7. Elisa Negri, Luca Fumagalli, and Marco Macchi. A Review of the Roles of Digital Twin in CPS-based Production Systems. Procedia Manufacturing, 11(June):939– 948, 2017.

    CrossRef  Google Scholar 

  8. Jürgen Roßmann, Martin Hoppen, and Arno Bücken. GML-Based Data Management and Semantic World Modelling for a 4D Forest Simulation and Information System. International Journal of 3-D Information Modeling, 3(3):50–67, jul 2014.

    CrossRef  Google Scholar 

  9. Michael Schluse, Marc Priggemeyer, Linus Atorf, and Juergen Rossmann. Experimentable Digital Twins-Streamlining Simulation-Based Systems Engineering for Industry 4.0. IEEE Transactions on Industrial Informatics, 14(4):1722–1731, 2018.

    CrossRef  Google Scholar 

  10. Johannes Scholz, Annelies De Meyer, Alexandra S. Marques, Tatiana M. Pinho, José Boaventura-Cunha, Jos Van Orshoven, Christian Rosset, Julien Künzi, Jaakola Kaarle, and Kaj Nummila. Digital Technologies for Forest Supply Chain Optimization: Existing Solutions and Future Trends. Environmental Management, 2018.

    Google Scholar 

Download references

Author information

Authors and Affiliations


Corresponding author

Correspondence to Jan Reitz .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2019 Springer-Verlag GmbH Deutschland, ein Teil von Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Reitz, J., Schluse, M., Roßmann, J. (2019). Industry 4.0 beyond the Factory: An Application to Forestry. In: Schüppstuhl, T., Tracht, K., Roßmann, J. (eds) Tagungsband des 4. Kongresses Montage Handhabung Industrieroboter. Springer Vieweg, Berlin, Heidelberg.

Download citation

  • DOI:

  • Published:

  • Publisher Name: Springer Vieweg, Berlin, Heidelberg

  • Print ISBN: 978-3-662-59316-5

  • Online ISBN: 978-3-662-59317-2

  • eBook Packages: Computer Science and Engineering (German Language)