A review of methods, techniques and tools for project planning and control

R Pellerin, N Perrier - International Journal of Production Research, 2019 - Taylor & Francis
The purpose of this article is to provide a brief review of methods and techniques developed
for the most commonly studied decision-making problems in project planning and control …

A review of analytical models, approaches and decision support tools in project monitoring and control

Ö Hazır - International Journal of Project Management, 2015 - Elsevier
This paper reviews the problems, approaches and analytical models on project control
systems and discusses the possible research extensions. We focused on literature in …

Application of neural networks and neuro-fuzzy models in construction scheduling

JI Obianyo, RC Udeala, GU Alaneme - Scientific Reports, 2023 - nature.com
Construction scheduling is a complex process that involves a large number of variables,
making it difficult to develop accurate and efficient schedules. Traditional scheduling …

EDM: Earned Duration Management, a new approach to schedule performance management and measurement

H Khamooshi, H Golafshani - International Journal of Project Management, 2014 - Elsevier
The concept of schedule monitoring and control as one of the most important functions of
project and program management has not been fully exploited. One possible explanation …

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 …

Construction and evaluation framework for a real-life project database

J Batselier, M Vanhoucke - International Journal of Project Management, 2015 - Elsevier
In this paper, a real-life project database is created, outranking the existing empirical
databases from project management literature in both size and diversity. To ensure the …

Support vector machine regression for project control forecasting

M Wauters, M Vanhoucke - Automation in Construction, 2014 - Elsevier
Abstract Support Vector Machines are methods that stem from Artificial Intelligence and
attempt to learn the relation between data inputs and one or multiple output values …

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 …

On the dynamic use of project performance and schedule risk information during projecttracking

M Vanhoucke - Omega, 2011 - Elsevier
Project scheduling, risk analysis and project tracking are key parameters to a project's
success or failure. Research on the relative sensitivity of project activities during the project …

Measuring the efficiency of project control using fictitious and empirical project data

M Vanhoucke - International journal of project management, 2012 - Elsevier
Dynamic scheduling refers to the integration of three important phases in the life cycle of a
project: baseline scheduling, schedule risk analysis and project control. In this paper, the …