• Vol 2, No 3 (2011)
  • Civil Engineering

Using BIM Model and Genetic Algorithms to Optimize The Crew Assignment for Construction Project Planning

Yi-Jao Chen, Chung-Wei Feng, Yu-Ren Wang, Hsueh-Ming Wu


Publish at : 01 Jun 2011
IJtech : IJtech Vol 2, No 3 (2011)
DOI : https://doi.org/10.14716/ijtech.v2i3.68

Cite this article as:
Chen, Y., Feng, C., Wang, Y., Wu, H., 2017. Using BIM Model and Genetic Algorithms to Optimize The Crew Assignment for Construction Project Planning. International Journal of Technology. Volume 2(3), pp.179-187
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Yi-Jao Chen Department of Asset Management and Urban Planning, University of Kang Ning, No. 188, Sec. 5, An-Chung Rd., Tainan 70970, Taiwan
Chung-Wei Feng Department of Civil Engineering, National Cheng Kung University, No. 1, Ta-Hsueh Rd., Tainan 70101, Taiwan
Yu-Ren Wang Department of Civil Engineering, National Kaohsiung University of Applied Sciences, 415 Chine-Kung Road, Kaohsiung 807, Taiwan
Hsueh-Ming Wu Department of Asset Management and Urban Planning, University of Kang Ning, No. 188, Sec. 5, An-Chung Rd., Tainan 70970, Taiwan
Email to Corresponding Author

Abstract
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Project planning is among the most critical factors to the success of a construction project. In project planning, cost and schedule are closely interrelated, because they share a lot of common data in their planning processes. Therefore, the integration of cost and schedule functions has been an attractive issue in construction project planning. Many researchers have emphasized the benefits of this integration and several different methodologies combining cost and schedule data have been provided. However, the results of the previous studies are not comprehensive enough to fulfill the requirements of project planning. This paper presents a model-based planning system that employs Building Information Model (BIM), Object Sequencing Matrix (OSM), and Genetic Algorithms (GAs) to obtain an optimal crew assignment under resource and workspace constraints. The purposes are to evaluate the project costs and optimize the temporal distribution of resources in project planning. A computer implementation called Cost/Schedule Integrated Planning System (CSIPS) is also developed to verify the feasibility of the proposed approach.

BIM model, Crew assignment, Genetic Algorithms, Project planning

References

Chen, P.H., 2008. Integration of Cost and Schedule using Extensive Matrix Method and Spreadsheets. Automation in Construction, Volume 18, Number 1, pp. 32-41.

Feng, C.W., Chen, Y.J., 2008. Applying MD CAD Model to Streamline Information Transformation for Construction Project Planning. Proceedings of the 2008 Architectural Engineering National Conference- AEI 2008: Building Integration Solutions, Denver, CO.

Gen, M., Cheng, R., 1999. Genetic Algorithms and Engineering Optimization. Wiley-Interscience, New York.

IFC Model, 2008. Industrial Foundation Classes. International Alliance for Interoperability.

Jung, Y., Woo, S., 2004. Flexible Work Breakdown Structure for Integrated Cost and Schedule Control. Journal of Construction Engineering and Management, Volume 130, Number 5, pp. 616-625.

Kang, L.S., Paulson, B.C., 1998. Information Management to Integrate Cost and Schedule for Civil Engineering Projects. Journal of onstruction Engineering and Management, Volume 124, Number 5, pp. 381-389.

Lee, H.S., Yi, K.J., 1999. Application of Mathematical Matrix to Integrate Project Schedule and Cost. Journal of Construction Engineering and Management, Volume 125, Number 5, pp. 339-346.

MasterFormat, 1996. Construction Specifications Institute, Alexandria, Va.

NBIMS, 2008. United States National Building Information Modeling Standard Part-1: Overview, Principles AND Methodologies. US National Institute of Building Sciences Facilities Information Council, BIM Committee.

Public Construction Commission (PCC), 2009. The Public Construction Master Codes and the Public Construction Extended Codes. The Web site of Public Construction Commission in Taiwan.