Research Article

PREDICTION OF MATERIAL WASTE GENERATION AT CONSTRUCTION STAGE OF LOW RISE BUILDINGS

1 Department of Building, University of Uyo, Uyo, Akwa Ibom State, Nigeria
2 Department of Building, University of Lagos, Akoka, Lagos State, Nigeria
* Corresponding author: timothyadewuyi@uniuyo.edu.ng
Published: Mar, 2017
Pages: 99-115
Views: 23
Downloads: 7

Abstract

Purpose: This research is steered towards developing models for predicting the quantity of material waste generated during construction stage of building projects employing in-situ construction method and the comparison of predicted quantity with the actual waste generated on site. Design/methodology/approach: The data used for the development of the models were sourced from thirty on-going projects through research assistants for six-month period consisting of one hundred and fifty cases of measurement of material waste. Standard multiple regression was utilised to develop the models. To test the accuracy of the developed models, paired sample t-test was used to compare the actual waste and the predicted quantity of waste. Findings: The model for concrete work in slab embraced three predictors: the theoretical quantity for work done, building gross floor area and the amount of rainfall accounting for 44.36%, 5.95% and 2.50% of the variance in the waste generated during concrete works in slab respectively. While the model for predicting waste generation during blockwork comprises of theoretical quantity of block for work done, the height from floor and the area of site undeveloped explaining 43.82%, 10.82% and 2.28% of the variance in the waste generation of block work respectively. Research limitations/implications: The results of this study are limited to new projects adopting in-situ construction method. Practitioners in the building industry within the study area can predict the amount of material waste anticipated in low rise construction with good accuracy using the developed models. Originality/value: This study revealed that material waste generation on building sites is predictable. There is no significant difference between the actual material waste generated on site and the predicted quantity using the developed models. 

References

  1. Adewuyi, T.O. (2012). Construction Material Waste Planning and Control Techniques on Building Sites in South-South of Nigeria, PhD Thesis, Department of Building, Faculty of Environmental Studies, University of Uyo, Uyo, Nigeria.
  2. Adewuyi, T.O., Idoro G.I. and Ikpo, I.J. (2014). Empirical Evaluation of Construction Material Waste Generated on Sites in Nigeria. Civil Engineering Dimension, 16(2): 96-103.
  3. Agyekum, K. (2012). Minimizing Materials Wastage at the Construction Stage of a Project Through the Implementation of Lean Construction. Master of Philosophy Thesis, Department of Building Technology, Kwame Nkrumah University of Science and Technology, Ghana.
  4. Baily, P. J. H. and Farmer, D. H. (1982). Materials Management Handbook. Aldershot, Hants, England: Gower Publishing Company Limited, p.27.
  5. Bernold, L. E. and Treseler, J. F. (1991). Vendor Analysis for Best Buy in Construction. Journal of Construction Engineering and Management, 117(4): 645-658.
  6. Bossink, B.A.G. and Brouwers, H.J.H. (1996). Construction Waste: Quantification and Source Evaluation. Journal of Construction Engineering and Management, 122(1): 55-60.
  7. Cha, H. S., Kim, J. and Han, J. Y. (2009). Identifying and Assessing Influence Factors on Improving Waste Management Performance for Building Construction Projects. Journal of Construction Engineering and Management, 135(7): 647 - 656.
  8. Chitkara, K. K. (2008). Construction Project Management: Planning, Scheduling and Controlling. 14th ed., New Delhi: Tata McGraw Hill, pp. 246-248.
  9. Cochran, K., Townsend, T., Reinhart, D., Heck, H. (2007). Estimation of Regional Building-related C & D Debris Generation and Composition: Case Study for Florida, US. Waste Management: International Journal of Integrated Waste Management, Science and Technology, 27(7): 921-931.
  10. Enshassi, A., (1996). Materials Control and Waste on Building Sites. Building Research and Information, 24(1): 31–34.
  11. Datta, M. (2000). Challenges Facing the Construction Industry in Developing Countries. Proceeding of 2nd International Conference on Construction in Developing Countries, Gabarone, Botswana, November 15-17.
  12. Dysert, L. R. (2001). Developing a Parametric Model for Estimating Process Control Costs. Cost Engineering, 43(2): 31-34.
  13. Fellows. R., Langford, D., Newcombe, R. and Urry, S. (2002). Construction Management in Practice. 2nd ed., United Kingdom: Blackwell Science Limited, pp. 180 - 181.
  14. Formoso, C.T., Isatto, E.L., and Hirota, E. H. (1999). Method for Waste Control in the Building Industry. Proceedings of the Seventh Annual Conference of the International Group for Lean Construction (IGLC-7), University of California, Berkeley, CA, USA. 325-334.
  15. Formoso, C.T., Soibelman, L., Cesare, C., and Isatto, E.L. (2002). Material Waste in Building Indus-try: Main Causes and Prevention. Journal of Construction Engineering and Management, 128(4): 316-325.
  16. Pallant, J. (2007). SPSS Survival Manual – A Step by Step Guide to Data Analysis using SPSS for Windows. 3rd ed., England: McGraw Hill, Open University Press, pp. 1 -311.
  17. Perdomo, J. L. (2004). A Framework for a Decision Support Model for Supply Chain Management in the Construction Industry. PhD Thesis, Faculty of the Virginia Polytechnic Institute and State University, Blacksburg, Virginia.
  18. Phaobunjong, K. (2002). Parametric Cost Estimating Model for Conceptual Cost Estimating of Building Construction Projects. PhD Dissertation, Faculty of the Graduate School, The University of Texas at Austin.
  19. Santos, A. dos (1999). Application of Flow Principles in the Production Management of Construction Sites. PhD Thesis, School of Construction and Property Management, The University of Salford, Salford, UK.
  20. Stukhart, G. (1995). Construction Materials Management. In: Perdomo, J. L. (2004). A Framework for a Decision Support Model for Supply Chain Management in the Construction Industry. PhD Thesis, Faculty of the Virginia Polytechnic Institute and State University, Blacksburg, Virginia.
  21. Tabachnick, B. G. and Fidell, L. S. (2007). Using Multivariate Statistics. 5th ed., United States of America, New York: Pearson Education, Incorporated, pp. 1 -980.
  22. Teo, M. and Loosemore, M. (2001). A Theory of Waste Behaviour in the Construction Industry. Construction Management and Economics, 19(7): 741–751.
  23. Ujene, A.O. and Idoro, G.I. (2015). Direct Costs Prediction of Structural Elements of Small and Medium Rise Buildings. Journal of Building Performance, 6(1): 83-94.
How to Cite

Adewuyi, T. O., & Idoro, G. (2017). PREDICTION OF MATERIAL WASTE GENERATION AT CONSTRUCTION STAGE OF LOW RISE BUILDINGS. Journal of Contemporary Research in the Built Environment, 1(1), 99-115. https://doi.org/10.68128/jocrebe.2017.053s2fqd

T. O. Adewuyi, and G. Idoro, "PREDICTION OF MATERIAL WASTE GENERATION AT CONSTRUCTION STAGE OF LOW RISE BUILDINGS," Journal of Contemporary Research in the Built Environment, vol. 1, no. 1, pp. 99-115, March 2017. doi: 10.68128/jocrebe.2017.053s2fqd

Share this article:
Facebook X / Twitter LinkedIn