Delay and cost overrun of palm oil refinery construction projects: Artificial neural network (ann) model

Abdullah, M.S. and Alaloul, W.S. and Liew, M.S. and Musarat, M.A. (2021) Delay and cost overrun of palm oil refinery construction projects: Artificial neural network (ann) model. Lecture Notes in Civil Engineering, 132. pp. 580-589.

Full text not available from this repository.
Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

In spite of the development and innovation in the construction technologies, still, delay and cost overrun are the most crucial challenge of the construction industry in both developed and the developing countries. This research aims to develop a prediction model using Artificial Neural Network (ANN). The prediction model consists of the most impactful causes of delays and costs overruns during the construction of Palm Oil Refinery projects which were ranked based on importance, severity and frequency. A series of 39 questions were developed from the questionnaire survey causing delays and cost overruns during construction of palm oil refinery projects. Artificial Bee Colony (ABC) algorithm was used to develop the prediction model for palm oil construction projects. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021.

Item Type: Article
Impact Factor: cited By 2
Uncontrolled Keywords: Construction industry; Costs; Developing countries; Forecasting; Offshore oil well production; Optimization; Palm oil; Petroleum refineries; Predictive analytics; Surveys, Artificial bee colony algorithms (ABC); Artificial neural network models; Causes of delays; Construction projects; Construction technologies; Oil refinery construction projects; Prediction model; Questionnaire surveys, Neural networks
Depositing User: Ms Sharifah Fahimah Saiyed Yeop
Date Deposited: 25 Mar 2022 06:41
Last Modified: 25 Mar 2022 06:41
URI: http://scholars.utp.edu.my/id/eprint/30313

Actions (login required)

View Item
View Item