Preliminary Cost Estimation Modeling for School Buildings in Sulaimani Governorate

Authors

  • DalyaFarhadAbubakr construction Eng. At University of Sulaimani, Iraq.
  • Noori Sadiq Ali Civil Engineering department-university of Cihan- Erbil

DOI:

https://doi.org/10.21271/ZJPAS.32.5.5

Keywords:

Cost; Estimation; Model; Pre-Design; Regression.

Abstract

Cost estimation for any construction projects at the early stage is a significant attempt, which has a main role in the success of the construction projects, because estimation at the early stage before design is very desired for decision maker to decide whether to start or not according to available budget. All parties involved in construction work as (owners, engineers, contractors and others) pay a great attention to this stage where limited information is available with no drawings or designs even no specifications. The objective of this research is to derive a model relating the cost of project as awarded with several independent variables (parameters) which are; site area, building area, duration(days), earthwork, area of doors and windows, number of floors, number of columns, distance from the city center(km), by utilizing linear regression techniques. The research methodology consists of data collection of 52 school building projects from public sectors which carried out between 2007 and 2014 in Sulaimani governorate. The models have been developed by applying Excel program and Minitab 19 software, then the models have been summarized and best one has been selected. Also, several statistical procedures have been conducted such as R2, R2- adjusted and two sample t-test were used to select more reliable equation. To find out the accuracy of each developed model, the author calculated mean absolute percentage error (MAPE). The range was between 25.3% and 46%. The R2 was between 0.87 and 0.977 and also the ρ-value from two sample t- test was between 0.891 and 0.991.

References

Adel, Kareem and Elyamany, Ahmed and Belal, Adel Mahmoud and Kotb, Akram Soltan, 2016. Developing parametric model for conceptual cost estimate of highway projects. International Journal of Engineering Science, Volume 6, pp. 1728--1734.

Al-Shanti, Y., 2003. A Cost Estimate System for Gaza Strip Construction Contractors,.

Alumbugu, Polycarp Olaku and Ola-awo, Wasiu Adeniran and Saidu, Ibrahim and Abdullahi, Mustapha Muhammed and Abdulazeez, Abdulmumin, 2014. Assessment of the factors affecting accuracy of pre-tender cost estimate in Kaduna state, Nigeria. IOSR Journal of Environmental Science, Toxicology and Food Technology, Volume 8, pp. 19--27.

Anon., n.d. s.l.:s.n.

Baccarini, D., 2005. Estimating project cost contingency-Beyond the 10% syndrome. in Australian Institute of Project Management National Conference. Australia, Australian Institute of Project Management.

Cheng, M.-Y., Tsai, H.-C. & Sudjono, E., 2010. Conceptual cost estimates using evolutionary fuzzy hybrid neural network for projects in construction industry.. 4224–4231.(6).

Feng, W., Zhu, W. & Zhou, Y., 2010. The Application of Genetic Algorithm and Neural Network in Construction Cost Estimate.. Volume 51-155.

Gwang-Hee Kim, Jae-Min Shin, Sangyong Kim, Yoonseok Shin, 2013. Comparison of School Building Construction Costs Estimation Methods Using Regression Analysis, Neural Network, and Support Vector Machine. Journal of Building Construction and Planning Research, Issue 1, pp. 1-7.

Gwang-Hee Kim, Sung-Hoon An , Kyung-In Kang, 2004. Comparison of construction cost estimating models based on regression. Elsevier Ltd., Volume 39, pp. 1235-1242.

H. Murat Gunaydın, S. Zeynep Dogan, 2004. A neural network approach for early cost estimation of. Volume 22, p. 595–602.

Husam D. Al-Jawhar , Sura Z. Araji, 2016. Management of the cost overrun of Baghdad University projects using Earned Value Management (EVM) and Value Engineering (VE).. ZANCO Journal of Pure and Applied Sciences., 28(2), pp. 240-250.

Khalil Ismail Wali and Nazik Imad Saber, 2019. An Analysis of Causes and Factors Affecting Change Orders Occurrence in Construction Projects in Iraq.. ZANCO Journal of Pure and Applied Sciences., 31(6), pp. 1-12.

Lawther, P.M. and P.J. Edwards, 2001. Design cost modelling-the way forward. Construction Economics and Building. Volume 32-42.

Lowe, D. M. E. a. A. H., 2006. Predicting construction cost using multiple regression techniques. Journal of construction engineering and management, Volume 132(7), pp. 750-758.

Mahamid, Ibrahim and Brul, Amund and Bruland, Amund, 2010. Preliminary cost estimating models for road construction activities.

Moein Barakchia, Olav Torp, Alemu Moges Belay, 2017. Cost Estimation Methods for Transport Infrastructure: A Systematic Literature Review. ELSEVIER, 196(270-277).

Rezaian, A., 2011. Time-Cost-Quality-Risk of Construction and Development Projects or Investment.. 218-223(10(2).

Shehatto, M., June 2013. Cost estimation for building construction projects in Gaza Strip using Artificial Neural Network (ANN).

Verlinden, B., Duflou, R., Collin, D. & Cattrysse, D., 2007. Cost estimation for sheet metal parts using multiple regression and artificial neural networks: A case study... 127(2)(93-100).

Weckman, G. e. a., 2010. Using neural networks with limited data to estimate manufacturing cost. Journal of Industrial and Systems Engineering.. 257-274(3(4)).

Published

2020-10-13

How to Cite

DalyaFarhadAbubakr, & Noori Sadiq Ali. (2020). Preliminary Cost Estimation Modeling for School Buildings in Sulaimani Governorate. Zanco Journal of Pure and Applied Sciences, 32(5), 54–61. https://doi.org/10.21271/ZJPAS.32.5.5