Predicting Manufacturing Times using Building Information Models

A case study at Oostingh Staalbouw

Master thesis (2019)

Authors

L.A. van der Plas Mechanical Engineering

Contributors

X. Jiang Transport Engineering and Logistics - Mechanical, Maritime and Materials Engineering (supervisor 1)
R.R. Negenborn Transport Engineering and Logistics - Mechanical, Maritime and Materials Engineering (supervisor 1)
J Vleugel Transport and Planning - CEG (supervisor 1)
Kees Oudshoorn (supervisor 1)
Faculty
Mechanical Engineering
Copyright: © 2019 Leon van der Plas
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Published Date

29-10-2019

Language

English

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Faculty

Mechanical Engineering

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.