Title :
Estimation model of construction waste materials in Malaysia: Steel
Author :
Hasan, Asmawati Bt Che ; Ridzuan, Ahmad Ruslan B. Mohd ; Yusof, Zulkiflee B. ; Noordin, Basir B. ; Atan, Ismail B. ; Ghani, Abdul Halim B. Abdul
Author_Institution :
Fac. of Civil Eng., Univ. Technol. Mara, Shah Alam, Malaysia
Abstract :
Nowadays, construction waste issues have become a major concerned in most countries to both practitioners and researchers towards a sustainable development. In Malaysia, awareness on the documentation of construction waste generated from construction activities is still lacking although such record may offer a better waste management system. Meanwhile, various models in quantifying the construction waste materials have been developed in many countries to improve the management of construction waste. Quantification model on construction waste has been described as an important element to be considered for a better waste management. Therefore, this paper intends to provide a mechanism to predict the amount of construction waste for steel generated from a building project. Reviews from previous studies on construction waste quantification and management was done to identify the variables contributed to the construction waste generation. Besides, archival documents comprised of taking off, delivery order and as built drawings of the residential projects were collected from contractors. The findings of this research resulted the adjusted R-square value 0.833 and the performances of the modes was evaluated by using the mean absolute percentage error (MAPE). The value is 23.836% and was categorized as common for range 20-50%.
Keywords :
buildings (structures); construction; document handling; estimation theory; industrial waste; records management; steel; sustainable development; waste management; MAPE; archival documents; building project; construction activity; construction waste generation; construction waste management; construction waste materials; construction waste quantification; estimation model; mean absolute percentage error; quantification model; steel; sustainable development; waste management system; Buildings; Civil engineering; Educational institutions; Estimation; Materials; Steel; Waste management; Construction waste; MAPE; MRA; estimation model; steel;
Conference_Titel :
Business Engineering and Industrial Applications Colloquium (BEIAC), 2013 IEEE
Conference_Location :
Langkawi
Print_ISBN :
978-1-4673-5967-2
DOI :
10.1109/BEIAC.2013.6560224