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

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...

Full description

Main Authors: Abdullah, M.S., Alaloul, W.S., Liew, M.S., Musarat, M.A.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.30313 /
Published: Springer Science and Business Media Deutschland GmbH 2021
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100735960&doi=10.1007%2f978-981-33-6311-3_67&partnerID=40&md5=1dfa794bfa02c9504bc26e05aac6cfc6
http://eprints.utp.edu.my/30313/
Tags: Add Tag
No Tags, Be the first to tag this record!
id utp-eprints.30313
recordtype eprints
spelling utp-eprints.303132022-03-25T06:41:28Z Delay and cost overrun of palm oil refinery construction projects: Artificial neural network (ann) model Abdullah, M.S. Alaloul, W.S. Liew, M.S. Musarat, M.A. 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. Springer Science and Business Media Deutschland GmbH 2021 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100735960&doi=10.1007%2f978-981-33-6311-3_67&partnerID=40&md5=1dfa794bfa02c9504bc26e05aac6cfc6 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. http://eprints.utp.edu.my/30313/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description 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.
format Article
author Abdullah, M.S.
Alaloul, W.S.
Liew, M.S.
Musarat, M.A.
spellingShingle Abdullah, M.S.
Alaloul, W.S.
Liew, M.S.
Musarat, M.A.
Delay and cost overrun of palm oil refinery construction projects: Artificial neural network (ann) model
author_sort Abdullah, M.S.
title Delay and cost overrun of palm oil refinery construction projects: Artificial neural network (ann) model
title_short Delay and cost overrun of palm oil refinery construction projects: Artificial neural network (ann) model
title_full Delay and cost overrun of palm oil refinery construction projects: Artificial neural network (ann) model
title_fullStr Delay and cost overrun of palm oil refinery construction projects: Artificial neural network (ann) model
title_full_unstemmed Delay and cost overrun of palm oil refinery construction projects: Artificial neural network (ann) model
title_sort delay and cost overrun of palm oil refinery construction projects: artificial neural network (ann) model
publisher Springer Science and Business Media Deutschland GmbH
publishDate 2021
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100735960&doi=10.1007%2f978-981-33-6311-3_67&partnerID=40&md5=1dfa794bfa02c9504bc26e05aac6cfc6
http://eprints.utp.edu.my/30313/
_version_ 1741197385723281408
score 11.62408

Similar Items