Skip to main content

Mobile Application for Collaborative Scheduling and Monitoring of Construction Works According to Lean Construction Methods

  • 1179 Accesses

Part of the Lecture Notes in Computer Science book series (LNISA,volume 10451)


In the construction industry, an efficient management of information flow as well as enhanced communication and collaboration among stakeholders are crucial to improve construction process management. Construction processes are still managed by means of paper-based documents, e.g. scheduling. To ensure on-time delivery of projects and automate construction management, especially scheduling and monitoring process, a mobile application based on Lean Construction methods is being developed within the ACCPET project. This application aims to improve productivity, collaboration between project participants as well to provide tailored information to the user. To reach this goal the following methods and technologies have been adopted: Location-based Management System, Last Planner System, Tiered Structure methodology and Building Information Modelling. This paper describes concept, framework and functionalities of this mobile application.


  • Lean Construction
  • Mobile application
  • Construction processes
  • BIM

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

Buying options

USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-319-66805-5_26
  • Chapter length: 8 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
USD   59.99
Price excludes VAT (USA)
  • ISBN: 978-3-319-66805-5
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   79.99
Price excludes VAT (USA)
Fig. 1.
Fig. 2.
Fig. 3.


  1. Clough, R.H., Sears, G.A., Sears, S.K.: Construction Project Management: A Practical Guide to Field Construction Management. Wiley, Hoboken (2008)

    Google Scholar 

  2. Dainty, A., Moore, D., Murray, M.: Communication in Construction. Taylor & Francis, New York (2006)

    CrossRef  Google Scholar 

  3. Dave, B., Boddy, S.C., Koskela, L.J.: Improving information flow within the production management system with web services. In: 18th Annual Conference of the International Group for Lean Construction, pp. 445–455, Haifa, Israel (2010)

    Google Scholar 

  4. Tauscher, E., Mikulakova, K., Beucke, K., König, M.: Automated generation of construction schedules based on the IFC object model. In: ASCE, Computing in Civil Engineering, Austin, TX (2009)

    Google Scholar 

  5. Li, H., Irani, Z., Love, P.: The IT performance evaluation in the construction industry. In: 33rd Hawaii International Conference on System Sciences, Maui, Hawaii (2000)

    Google Scholar 

  6. Garcia, M., Bri, D., Sendra, S., Lloret, J.: Practical deployment of wireless sensors networks: a survey. Int. J. Adv. Netw. Serv. 3(1&2), 170–185 (2010)

    Google Scholar 

  7. Sendra, S., Lloret, A.T., Lloret, J., Rodrigues, J.J.P.C.: A wireless sensor networks deployment to detect the degeneration of cement used in construction. Int. J. Ad Hoc Ubiquitous Comput. 15(1–3), 147–160 (2014)

    CrossRef  Google Scholar 

  8. Kenley, R., Seppänen, O.: Location-Based Management for Construction: Planning, Scheduling and Control. Spon Press, New York (2010)

    Google Scholar 

  9. Kala, T., Mouflard, C., Seppänen, O.: Production control using location- based management system on a hospital construction project. In: 20th Annual Conference of the International Group for Lean Construction, San Diego, California, USA (2012)

    Google Scholar 

  10. Seppänen, O., Ballard, G., Pesonen, S.: The combination of last planner system and location-based management system. Lean Constr. J. 6, 43–54 (2010)

    Google Scholar 

  11. Dallasega, P., Rauch, E., Matt, D.T.: Increasing productivity in ETO construction projects through a lean methodology for demand predictability. In: 5th International Conference on Industrial Engineering and Operations Management, Proceeding, Dubai, United Arab Emirates (2015)

    Google Scholar 

  12. Ballard, G.: The last planner system of production control. Ph.D. dissertation, School of Civil Engineering, The University of Birmingham, UK (2000)

    Google Scholar 

  13. Howell, G.: A guide to the last planner for construction foremen and supervisors. Lean Construction Institute, California, USA (2000)

    Google Scholar 

  14. Ballard, G., Tommelein, I.: Current process benchmark for the last planner system (2016).

  15. Dallasega, P., Matt, D.T., Krause, D.: Design of the building execution process in SME construction networks. In: Thompson K. (ed.) Proceedings of 2nd International Workshop on Design in Civil and Environmental Engineering, Worcester, UK, pp. 7–15 (2013)

    Google Scholar 

Download references


The authors would like to thank the European Commission for their funding of the ACCEPT project within the Horizon 2020 Framework Program (Grant Agreement: 636895). The authors gratefully acknowledge the contributions of other partners from the consortium, especially of Nicolas Mayer form Ascora GmbH responsible for SiMaApp development; Peter Leo Merz from TIE Germany responsible for the implementation of lean construction methods in Profile Nexus; Jason Page and Edward Gooden from Ingleton Wood for the co-development of Tiered Structure.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Julia Ratajczak .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Ratajczak, J., Schimanski, C.P., Marcher, C., Riedl, M., Matt, D.T. (2017). Mobile Application for Collaborative Scheduling and Monitoring of Construction Works According to Lean Construction Methods. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2017. Lecture Notes in Computer Science(), vol 10451. Springer, Cham.

Download citation

  • DOI:

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66804-8

  • Online ISBN: 978-3-319-66805-5

  • eBook Packages: Computer ScienceComputer Science (R0)