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BIM based schedule control for precast concrete supply chain

  • J. Nissilä
  • , R. Heikkilä
  • , I. Romo
  • , M. Malaska
  • , T. Aho

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    8 Citations (Scopus)

    Abstract

    Development of the schedule control of precast concrete supply chain has been studied. Main idea was to use BIM model created by structural engineer as a user-interface for schedule control, for saving different status information of the real-time schedule situation of the propagation of structural design, element manufacture, delivery and site erection directly to the BIM model by using a cloud-based networked service. Some of the missing software applications were programmed by the software companies participated in the project. Experiments were done in a real construction project in Finland, where the information from design, prefabrication, delivery and erection phases was synchronized between the stakeholders by using the cloud service. The most important observations and results are introduced and analyzed. A future model for intelligent BIM based schedule control concept is concluded.

    Original languageEnglish
    Title of host publication31st International Symposium on Automation and Robotics in Construction and Mining, ISARC 2014 - Proceedings
    PublisherUniversity of Technology Sydney
    Pages667-671
    Number of pages5
    ISBN (Print)9780646597119
    Publication statusPublished - 2014
    Publication typeA4 Article in conference proceedings
    Event31st International Symposium on Automation and Robotics in Construction and Mining, ISARC 2014 - Sydney, Australia
    Duration: 9 Jul 201411 Jul 2014

    Conference

    Conference31st International Symposium on Automation and Robotics in Construction and Mining, ISARC 2014
    Country/TerritoryAustralia
    CitySydney
    Period9/07/1411/07/14

    Keywords

    • BIM
    • Precast concrete
    • Schedule control
    • Supply chain

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Hardware and Architecture
    • Civil and Structural Engineering
    • Building and Construction

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