FUZZY COST OVERRUN ANALYSIS MODEL FOR CONSTRUCTION PROJECT
DOI:
https://doi.org/10.24297/jac.v12i16.678Keywords:
fuzzy logic, productivity, modelling, relative importance.Abstract
Now a day’s many factors which affect the productivity in construction project. Due to this delay factors time and cost overrun in a project. In this research helps to identify the most important factors that affect the productivity and form a modelling using fuzzy logic. The data’s were collected through questionnaire survey from engineers, contractors and clients worked within the various construction industries. The collected data’s were analyzed using relative importance index (RII) and ranking the factors based on percentage of relative importance and also this paper presents an application of fuzzy logic for developing delay factors causes cost overrun model using Fuzzy toolbox of MATLAB Program software. The results can facilitate the construction industry to take measures the delay factors causes cost overrun in construction projects.
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[2] Soekiman, A., Pribadi, K.S., Soemardib, W., Wirahadikusumah, R.D. 2011. Factors relating productivity affecting the project schedule performance in Indonesia, Procedia Engineering 14, 865-873.
[3] Stokes, K.H. 1980. An examination of the productivity decline in the construction industry. Construction productivity frontier, construction productivity centre, IIT centre, Chicago, 10-16.
[4] Remon Fayek Aziz. 2013. Ranking of delay factors in construction projects after egyptian revolution, Alexandria Engineering Journal, 52,387-406
[5] Mostafa, E., Shehata Khaled, M., Gohary, E.L. 2011. Towards improving construction labour productivity and projects performances, Alexandria engineering journal, 50, 321-330.
[6] Ersoz, H.Y. 1999. Neural network model for estimating construction productivity, Journal of construction engineering and management, 125, 211-213.
[7] Tah Jhm, Carr, V. 2001. Towards a framework for project risk knowledge management in the construction supply chain. Advances In Engineering Software, 32, 835-846.
[8] Amu, O.O., Adesanya, D.A. 2011, Mathematical Expression for Explaining Project Delays in South western Nigeria, Singapore Journal of Scientific Research, 1(1), 59–67.
[9] Fugar, F., Agyakwah-Baah, A. 2010. Delays in Building Construction Projects in Ghana, Australasian Journal of Construction Economics and Building, 103–116.
[10] Sambasivam, M., Soon, Y. 2007. Causes and effects of delay in construction industry, International journal of project management 25 (2007) 517-526.
[11] Aadi, A., Muhammad Ai-Hazmp,. 1995. Causes of delay in large building construction projects, Journal of management in engineering, 1, 45-50.
[12] Alaghbari, W., Kadir, M.R. and Salim, A., 2007, “The Significant Factors Causing Delay of Building Construction Projects in Malaysia,†Engineering, Construction and Architectural Management, 14(2), 192–206.
[13] Savita Sharma, L., Pradeep, k., Goyal, 2014. Cost overrun assessment model in fuzzy environment, American Journal Of Engineering Research , 03(07), 44-53
[14] Smallwood, J., 1998. Health and safety and the environment as project parameters, Proceedings of CIB World Building Congress, 1587-1594.
[15] Shanmugapriya, S., Subramanian, K., 2015. Ranking of key quality factors in the Indian construction industry, International Research Journal of Engineering and Technology. 02 (07), 907-913.
[16] Shreenaath, A., Arunmozhi. S., Sivagamasundari, R. 2015. Predication of construction cost overrun in tamilnadu, International Journal of Engineering and Technical Research, 3(3), 267-275.
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