عنوان المقالة: Forecasting techniques in Construction industry: Earned value indicators and performance models
فائق محمد سرحان محمد الزويني | Faiq M. S. Al-Zwainy | 8256
- 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