REVIEW ARTICLE
Change Orders in Iraqi Construction Projects
Hafeth I. Naji1, *, Wadhah Amer Hatem2, Baydaa Hussain Maula3
Article Information
Identifiers and Pagination:
Year: 2018Volume: 12
First Page: 458
Last Page: 467
Publisher ID: TOCIEJ-12-458
DOI: 10.2174/1874149501812010458
Article History:
Received Date: 13/10/2018Revision Received Date: 14/11/2018
Acceptance Date: 28/11/2018
Electronic publication date: 31/12/2018
Collection year: 2018
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
Introduction:
Change orders in construction are considered to be one of the greatest controversial problems that must be handled and also considered to be difficult for project management to reasonably resolve as any variation leads to claims. Any construction contract is agreed under the concept of “good faith,” which include that the parties will have to trust each other in order to work on agreeing on a contract and that contract is considered to be reasonable when there is no purpose of taking benefit of the parties throughout the contract life. However, as soon as the contract wants to be changed by generating a change order, the parties behavior changes in relation to the initial “good faith” environment
Objective:
The aim of the paper is to find the causes of the change order and its effect on the projects and then analyze the causes using data mining techniques.
Methods:
The methodology of the paper includes the following steps. Several factors that lead to change orders were gathered from the literature review. A questionnaire was formed and then distributed to the managers, owners, contractors and engineers. A review of the project's documents was conducted to find the number of change orders in the project and analysis of the causes of the change orders was done using data mining techniques.
Results and Conclusion:
The change orders have a harmful impact on the cost and it must be minimized, the change order was analyzed using Adda Boost technique and the accuracy was about 95 which is considered a very good result.
