Knowledge-based Design Cost Estimation Through Extending Industry Foundation Classes

Shen Xu, Kecheng Liu, Weizi Li

2014

Abstract

In order to overcome divergence of estimation with the same data, the proposed costing process adopts an integrated design of information system to design the process knowledge and costing system together. By employing and extending a widely used international standard, industry foundation classes, the system can provide an integrated process which can harvest information and knowledge of current quantity surveying practice of costing method and data. Knowledge of quantification is encoded from literatures, motivation case and standards. It can reduce the time consumption of current manual practice. The further development will represent the pricing process in a different type of knowledge representation. The hybrid types of knowledge representation can produce a reliable estimation for construction project. In a practical term, the knowledge management of quantity surveying can improve the system of construction estimation. The theoretical significance of this study lies in the fact that its content and conclusion make it possible to develop an automatic estimation system based on hybrid knowledge representation approach.

References

  1. Akintoye, A., Fitzgerald, E., 2000. A survey of current cost estimating practices in the UK. Constr. Manag. Econ. 18, 161-172.
  2. Ashworth, A., 2004. Cost studies of buildings.
  3. Bowen, P.A., Edwards, 1985. Cost modelling and price forecasting: practice and theory in perspective. Constr. Manag. Econ. 3, 199-215.
  4. buildingSMART International Limited, 2013. IFC Standard (WWW Document). URL about:blank (accessed 3.31.13).
  5. BuildingSMART UK, 2010. Investing in BIM competence BuildingSMART: a guide to collaborative working for project owners and building professionals, Endeavour. UK.
  6. Dell'Isola, M. D., 2003. Detailed Cost Estimating. Excerpt from Archit. Handb. Prof. Pract. 1-13.
  7. El-Diraby, T., Lima, C., Feis, B., 2005. Domain taxonomy for construction concepts: toward a formal ontology for construction knowledge. J. Comput. Civ. … 394- 406.
  8. Exactal, 2013. CostX® | Exactal CostX?: Construction Estimating Software | On-screen Takeoff Software (WWW Document). URL http://www.exactal.co.uk/ products/costX (accessed 11.4.13).
  9. Flanagan, R., Norman, G., 1983. The accuracy and monitoring of quantity surveyors' price forecasting for building work. Constr. Manag. Econ. 1, 157-180.
  10. Forgues, D., Iordanova, I., 2012. Rethinking the Cost Estimating Process through 5D BIM: A Case Study. … Res. Congr. 2012 … 778-786.
  11. Fortune, C., Lees, M., 1996. The relative performance of new and traditional cost models in strategic advice for clients. RICS Res. Pap. Ser. 2.
  12. Halfawy, M., Froese, T., 2002. Modeling and implementation of smart AEC objects: an IFC perspective. In: CIB W' 2002 Conference, Aarhus, Denmark. pp. 12-14.
  13. Hietanen, J., 2000. Quantity Takeoff using IFC R2 . 0.
  14. Holsapple, C., Whinston, A., 1996. Decision Support Systems: A Knowledge-Based Approach. Course Technologies, Cambridge, MA.
  15. Kim, G.-H., An, S.-H., Kang, K.-I., 2004. Comparison of construction cost estimating models based on regression analysis, neural networks, and case-based reasoning. Build. Environ. 39, 1235-1242.
  16. Love, P.E.D., Gunasekaran, A., Li, H., 1998. Concurrent engineering: a strategy for procuring construction projects. Int. J. Proj. Manag. 16, 375-383.
  17. Ma, Z., Wei, Z., Zhang, X., 2013. Semi-automatic and specification-compliant cost estimation for tendering of building projects based on IFC data of design model. Autom. Constr. 30, 126-135.
  18. Nomitech, 2013. Nomitech Construction Oil & Gas BIM Cost Estimating Software, Estimating Services | Home (WWW Document). URL http://www.nomitech.eu/ cms/en/c/index.html (accessed 11.4.13).
  19. Royal Institution of Chartered Surveyors, 2011. RICS New Rules of M EASUREMENT Bill of Quantities for Works Procurement.
  20. Seethamraju, R., Marjanovic, O., 2009. Role of process knowledge in business process improvement methodology: a case study. Bus. Process Manag. J. 15, 920-936.
  21. Senaratne, S., Sabesan, S., 2010. Managing knowledge as quantity surveyors: An exploratory case study in Sri Lanka. Built-Environment Sri Lanka 8, 41-47.
  22. Shen, Z., Issa, R., 2010. Quantitative evaluation of the BIM-assisted construction detailed cost estimates. Pap. Constr. Manag.
  23. Skitmore, M., Marston, V.K., 1999. Cost Modelling. E&FN Spon., London.
  24. Skitmore, M., Patchell, B., 1990. Developments in contract price forecasting and bidding techniques. Quant. Surv. Tech. New … 75-120.
  25. Staub, F.S., Fischer, M., Kunz, J., Ishii, K., Paulson, B., 2003. A feature ontology to support construction cost estimating. Artif. Intell. Eng. Des. Anal. Manuf. 17, 133-154.
  26. Staub, F. S., Nepal, M. P., 2007. Reasoning about component similarity in building product models from the construction perspective. Autom. Constr. 17, 11- 21.
  27. Tan, F., Makwasha, T., 2010. “ Best practice ” cost estimation in land transport infrastructure projects 1- 15.
  28. Tanyer, A. M., Aouad, G., 2005. Moving beyond the fourth dimension with an IFC-based single project database. Autom. Constr. 14, 15-32.
  29. Wermelinger, M., Bejan, A., 1993. Conceptual Structures for Modeling in CIM.
  30. Xu, S., Liu, K., Tang, L. C. M., 2013. Cost Estimation in Building Information Model. In: International Conference on Construction and Real Estate Management (ICCREM 2013).
  31. Xu, S., Tang, L.C.M., 2011. BIM Environment?: Quantity Surveyor 78 s Information Lifecycle. In: The Innovation and the Built Environment Academy.
Download


Paper Citation


in Harvard Style

Xu S., Liu K. and Li W. (2014). Knowledge-based Design Cost Estimation Through Extending Industry Foundation Classes . In Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-028-4, pages 161-168. DOI: 10.5220/0004866401610168


in Bibtex Style

@conference{iceis14,
author={Shen Xu and Kecheng Liu and Weizi Li},
title={Knowledge-based Design Cost Estimation Through Extending Industry Foundation Classes},
booktitle={Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2014},
pages={161-168},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004866401610168},
isbn={978-989-758-028-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - Knowledge-based Design Cost Estimation Through Extending Industry Foundation Classes
SN - 978-989-758-028-4
AU - Xu S.
AU - Liu K.
AU - Li W.
PY - 2014
SP - 161
EP - 168
DO - 10.5220/0004866401610168