M
Mario Vanhoucke
Researcher at Katholieke Universiteit Leuven
Publications - 300
Citations - 8718
Mario Vanhoucke is an academic researcher from Katholieke Universiteit Leuven. The author has contributed to research in topics: Schedule (project management) & Project management. The author has an hindex of 46, co-authored 279 publications receiving 7455 citations. Previous affiliations of Mario Vanhoucke include Northwestern Polytechnical University & Ghent University.
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Automated design of priority rules for resource-constrained project scheduling problem using surrogate-assisted genetic programming
TL;DR: In this article , the authors proposed four different surrogate models for the resource-constrained project scheduling problem (RCPSP) and verified the effectiveness and the performance of the proposed surrogate models.
Classroom experiments on project management communication
Mario Vanhoucke,Mathieu Wauters +1 more
TL;DR: The impact of communication on the student performance using business games as well as the advantages of the use of integrative case studies and their impact on the learning experience of students following a Project Management course module are tested.
Journal ArticleDOI
Praise youth and it will prosper! PMI Belgium’s recognition of young PM potential
TL;DR: The Belgian chapter of Project Management Institute (PMI) wants to collaborate with Ghent University to show the relevance of their activities to the most promising group of project managers, our youngsters and future professionals as mentioned in this paper.
A branch-and-price procedure for nurse staffing incorporating roster preferences
Broos Maenhout,Mario Vanhoucke +1 more
TL;DR: Managing, recruiting, keeping the right staff, and deploying resources efficiently are key challenges for the healthcare industry in the coming decennia due to the increasing elder population and the corresponding increasing demand for care and caring personnel.
Earned Value Forecast Accuracy and
Mario Vanhoucke,S. Vandevoorde +1 more
TL;DR: In this paper, the authors presented new simulation results on the forecast accuracy of earned value based metrics to predict a project's final duration, which was extended to new simulation scenarios that measure the influence of inaccuracies in the planned duration estimates for critical and non-critical activities on the accuracy of forecasting methods.