[PDF][PDF] An overview of project data for integrated project management and control

M Vanhoucke, J Coelho… - The Journal of Modern …, 2016 - journalmodernpm.com
In this paper, an overview is given of the project data instances available in the literature to
carry out academic research in the field of integrated project management and control. This …

Forward-looking state-of-the-art review on earned value management systems: The disconnect between academia and industry

V Aramali, H Sanboskani, GE Gibson Jr… - … of Management in …, 2022 - ascelibrary.org
Earned value management (EVM) is a project management approach that can enhance the
probability of project success. It is applied widely across different industry sectors (eg …

Prediction of cost and duration of building construction using artificial neural network

JA Ujong, EM Mbadike, GU Alaneme - Asian Journal of Civil Engineering, 2022 - Springer
In this research study, the investigation of building details on the construction project cost
and duration using artificial neural networks (ANNs) which possesses the ability to …

Improving project forecast accuracy by integrating earned value management with exponential smoothing and reference class forecasting

J Batselier, M Vanhoucke - International journal of project management, 2017 - Elsevier
In this paper, the earned value management (EVM) project control methodology is
integrated with the exponential smoothing forecasting approach. This results in an extension …

Memetic algorithm for solving resource constrained project scheduling problems

HF Rahman, RK Chakrabortty, MJ Ryan - Automation in Construction, 2020 - Elsevier
The resource constrained project scheduling problem (RCPSP) has a wide variety of
practical applications in construction, manufacturing, project planning, and other areas …

Measuring project resilience–Learning from the past to enhance decision making in the face of disruption

SA Zarghami, O Zwikael - Decision Support Systems, 2022 - Elsevier
Although projects are regularly exposed to disruptive events, the literature lacks an effective
measurement system for project resilience. This gap presents challenges for decision …

Multiple linear regression model for improved project cost forecasting

FM Ottaviani, A De Marco - Procedia Computer Science, 2022 - Elsevier
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 …

Using real project schedule data to compare earned schedule and earned duration management project time forecasting capabilities

PA de Andrade, A Martens, M Vanhoucke - Automation in Construction, 2019 - Elsevier
Since project control involves taking decisions that affect the future, the ability to accurately
forecast the final duration and cost of projects is of major importance. In this paper, we focus …

A machine learning study to improve the reliability of project cost estimates

T Narbaev, Ö Hazir, B Khamitova… - International Journal of …, 2024 - Taylor & Francis
Project managers need reliable predictive analytics tools to make effective project
intervention decisions throughout the project life cycle. This study uses Machine learning …

Evaluation of deterministic state-of-the-art forecasting approaches for project duration based on earned value management

J Batselier, M Vanhoucke - International Journal of Project Management, 2015 - Elsevier
In recent years, a variety of novel approaches for fulfilling the important management task of
accurately forecasting project duration have been proposed, with many of them based on …