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

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Cooperative Design, Visualization, and Engineering (CDVE 2017)

Abstract

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.

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Acknowledgments

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.

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Correspondence to Julia Ratajczak .

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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. https://doi.org/10.1007/978-3-319-66805-5_26

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  • DOI: https://doi.org/10.1007/978-3-319-66805-5_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66804-8

  • Online ISBN: 978-3-319-66805-5

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