Abstract
Management of running costs to approach productivity indices between planned and actual is an important topic for BIM-based cost management systems. In the context of conventional BIM management, it is expected to get more detailed models as the design decisions developed. On the other hand, in the complex structure of project deliveries, where the construction phase is started and the design decisions are not completed yet, alternative procedures are required to manage outputs for both early and detailed stages of the design in the same model environment. In this chapter, the M9 Ikitelli-Ataköy underground line project was analyzed to decide the most proper scheduling workflows to generate survey reports of confined wall systems. While the length value is required to estimate cost alternatives of interior cladding, bill of quantities are going to be measured for calculation of surface area completed from the same model assembly. On the contrary, the system is assembled with both architectural and structural model elements, thus, the measurement data from length and area values cannot be pulled out to table list by default scheduling features of modelling software. When the BIM model elements hold the data, but those can not be inferred as required information, alternative information acquirement methodologies were reviewed and compared. During the study, the scope of BIM ontology was formed by such BIM platforms as Revit and its associated extensions Dynamo and Roombook. At the end of the study, it is aimed to present practical advantages of extensions at the automation of cost estimation and preparing bill of quantities in the BIM environment.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Bečvarovská, R., Matějka, P.: Comparative Analysis of Creating Traditional Quantity Takeoff Method and Using a Bim Tool Construction Macroeconomics Conference (2014)
Małgorzata, G., Marek, S.: Challenges in Takeoffs and Cost Estimating in the BIM Technology, Based on the Example of a Road Bridge Model (2017)
Olsen, D., Taylor, J.: Quantity takeoff using building information modeling (BIM), and its limiting factors. Proc. Eng. 196, 1098–1105 (2017)
Royal Institute of Chartered Surveyors (2013)
Olatunji, O.A., Sher, W.D., Ogunsemi, D.R.: The impact of building information modelling system on construction cost estimating. In: CIB 2010 World Congress, 2010c, Salford, UK (2010)
Monteiro, A., Martins, J.P.: A survey on modeling guidelines for quantity takeoff-oriented BIM-based design. Autom. Constr. 35, 238–253 (2013)
Bylund, C., Magnusson, A.: Model based cost estimations - an international comparison. Masters thesis. Faculty of Engineering, Lund University, Lund, Sweden (2012)
Khosakitchalert, C., Yabukib, N., Fukudac, T.: The accuracy enhancement of architectural walls quantity takeoff for schematic BIM models. In: 35th International Symposium on Automation and Robotics in Construction (ISARC 2018), pp. 777–784 (2018)
Ataköy İkitelli Metro Line BIM Execution Plan
Dynamo BIM: http://dynamobim.org/. Accessed 19 Feb 2019
CRAFTAI. http://www.craft.ai. Accessed 15 Feb 2019
https://www.autodesk.com. Accessed 12 Feb 2019
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Zorlutuna, E., Kaya, U., Düz, S. (2020). Comparison of BIM Based Alternative Scheduling Workflows for Confined Wall Systems. In: Ofluoglu, S., Ozener, O., Isikdag, U. (eds) Advances in Building Information Modeling. EBF 2019. Communications in Computer and Information Science, vol 1188. Springer, Cham. https://doi.org/10.1007/978-3-030-42852-5_6
Download citation
DOI: https://doi.org/10.1007/978-3-030-42852-5_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-42851-8
Online ISBN: 978-3-030-42852-5
eBook Packages: Computer ScienceComputer Science (R0)