عنوان المقالة: Forecasting techniques in Construction industry: Earned value indicators and performance models
فائق محمد سرحان محمد الزويني | Faiq M. S. Al-Zwainy | 8328
Publication Type
ScientificArticle
Arabic Authors
English Authors
Firas K Jaber, Nidal A Jasim, Faiq M Al-Zwainy
Abstract
The construction industry is an important industry for any government due to its direct association with the implementation of the goals and policies of the government in various fields of concern to the citizen in terms of education, health, housing and other facilities and services. The construction industry is also one of the broad and important sectors of any country’s economy, and it is one of the main engines that governments resort to move the economy and create jobs and reduce unemployment. And the construction industry has unique characteristics, which made it an industry that is distinguished from the rest of the other industries by its many risks, and its projects always suffer from the problems of delay in implementation and increase in cost in most countries of the world. Among the most important characteristics of the construction industry (Myers, 2005):
Publication Date
6/1/2020
Publisher
Scientifi c Review – Engineering and Environmental Sciences
Volume No
29
Issue No
2
DOI
DOI 10.22630/PNIKS.2020.29.2.20
Pages
234-243
File Link
تحميل (0 مرات التحميل)
External Link
https://agro.icm.edu.pl/agro/element/bwmeta1.element.agro-cab0632d-ab85-4187-80dc-7b20f894860a
Keywords
Machine Learning Regression Techniques (MLRT), earned value indexes, SPI, CPI, and TCPI
رجوع