عنوان المقالة: Forecasting techniques in Construction industry: Earned value indicators and performance models
فائق محمد سرحان محمد الزويني | Faiq M. S. Al-Zwainy | 8310
نوع النشر
مقال علمي
المؤلفون بالعربي
المؤلفون بالإنجليزي
Firas K Jaber, Nidal A Jasim, Faiq M Al-Zwainy
الملخص الانجليزي
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):
تاريخ النشر
01/06/2020
الناشر
Scientifi c Review – Engineering and Environmental Sciences
رقم المجلد
29
رقم العدد
2
رابط DOI
DOI 10.22630/PNIKS.2020.29.2.20
الصفحات
234-243
رابط الملف
تحميل (0 مرات التحميل)
رابط خارجي
https://agro.icm.edu.pl/agro/element/bwmeta1.element.agro-cab0632d-ab85-4187-80dc-7b20f894860a
الكلمات المفتاحية
Machine Learning Regression Techniques (MLRT), earned value indexes, SPI, CPI, and TCPI
رجوع