Project production flows in off-site prefabrication: BIM-enabled railway infrastructure
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conference contribution
posted on 2024-06-03, 20:20 authored by M Arashpour, Y Bai, V Kamat, R Hosseini, Igor MartekIgor Martek© ISARC 2018 - 35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things. All rights reserved. Railway infrastructure projects provide required physical and organizational facilities for transportation networks. Production flows in railway construction are complex especially when a hybrid of on-site and off-site processes is in progress. With railway projects still experiencing budget and time overruns, there is need to re-examine production flows. Towards this aim, a framework to investigate production flows in railway infrastructure projects is presented and discussed. A three-dimensional view of construction production including portfolio, process and operation aspects is found capable of improving performance measures in both design and construction. Such improvements include minimized rework and re-entrant flows, flexible prefabrication, enhanced multidisciplinary collaborations, and efficient planning of temporary works. This research contributes to the construction body of knowledge by examining production flows in a complex infrastructure setting. Construction managers would benefit from the presented model of production flows and its customization in the context of their projects to improve productivity and performance.
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Berlin, GermanyLanguage
engPublication classification
E1 Full written paper - refereedPagination
1-8Start date
2018-07-20End date
2018-07-25Title of proceedings
ISARC 2018 : The future of building things : Proceedings of the 35th 2018 International Symposium on Automation and Robotics in ConstructionEvent
Automation and Robotics in Construction. Symposium (2018 : 35th : Berlin, Germany)Publisher
International Association for Automation and Robotics in ConstructionPlace of publication
Berlin, GermanyUsage metrics
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