Construction projects are usually associated with several challenges owing to the varying
process during the project lifetime. Hence, the final cost of any civil engineering project is …

The analytic procedures incorporated to facilitate the delivery of projects are often referred to
as project analytics. Existing techniques focus on retrospective reporting and understanding …

Several studies have been conducted in the Project Management field further to improve the
Earned Value Management (EVM) methodology to forecast the project cost estimate at …

This paper presents five Artificial Intelligence (AI) methods to predict the final duration of a
project. A methodology that involves Monte Carlo simulation, Principal Component Analysis …

Project managers need reliable predictive analytics tools to make effective project
intervention decisions throughout the project life cycle. This study uses Machine learning …

Abstract Traditional Earned Value Management (EVM) index-based methods for Cost
Estimate at Completion (CEAC) of an ongoing project have been known for their limitations …

Earned value management (EVM) is an industry standard for monitoring the performance of
ongoing projects. The performance baseline is set up in the planning phase to measure any …

The Planning and implementation of construction projects are difficult processes and are
burdened with many risk elements. The budget spread over time, which is developed on the …

Building and construction account for significant embodied carbon related to materials and
construction processes. Carbon monitoring and forecasting during project execution to track …

This study aims to connect project management, network science and machine learning in
an accessible overview applied to a real original dataset. Based on an initial literature …