Print Email Facebook Twitter Predicting Manufacturing Times using Building Information Models Title Predicting Manufacturing Times using Building Information Models: A case study at Oostingh Staalbouw Author van der Plas, Leon (TU Delft Mechanical, Maritime and Materials Engineering) Contributor Jiang, X. (mentor) Negenborn, R.R. (mentor) Vleugel, J.M. (mentor) Oudshoorn, Kees (mentor) Degree granting institution Delft University of Technology Programme Marine Technology | Transport Engineering and Logistics Date 2019-10-29 Abstract In the construction industry, it is common to predict manufacturing times of structural elements based on the experience of shop managers. With the increasing use of Building Information Models (BIM) and data analysis in manufacturing processes an opportunity for improving the accuracy of predicted manufacturing times arises. This research proposes a general prediction model based on physical properties of structural elements extracted from BIM, along with manufacturing times of manufactured elements. The proposed Support Vector Regression Model Tree (SVRMT) is tested in both hypothetical and real case scenarios. Through validation in real case scenarios, the SVRMT prediction model turned out to be a significant improvement in terms of prediction accuracy, compared to the current experience based approach. Subject Building Information ModelsManufacturing timesregression models To reference this document use: http://resolver.tudelft.nl/uuid:b0489b01-7669-4d31-86e4-fff30d842871 Part of collection Student theses Document type master thesis Rights © 2019 Leon van der Plas Files PDF Thesis_Leon_van_der_Plas.pdf 42.7 MB Close viewer /islandora/object/uuid:b0489b01-7669-4d31-86e4-fff30d842871/datastream/OBJ/view