Mario Vanhoucke

TL;DR: In this paper, the authors extensively review and evaluate earned value (EV)-based methods to forecast the total project duration and present an extensive simulation study where they carefully control the level of uncertainty in the project, the influence of the project network structure on the accuracy of the forecasts and the time horizon where the EV-based measures provide accurate and reliable results.

TL;DR: This paper evaluates and compares different network generators to generate project scheduling problem instances based on indicators measuring the topological network structure and concludes that none of the network generators are able to capture the complete feasible domain of all networks.

TL;DR: An overview is presented of the existing metaheuristic solution procedures to solve the multi-mode resource-constrained-project scheduling problem, in which multiple execution modes are available for each of the activities of the project.

TL;DR: In this paper, a new integrative nurse staffing and shift scheduling approach is proposed to overcome the inefficiencies of isolated reasoning, which leads to suboptimal decisions often resulting in ineffective outcomes of care.

TL;DR: A depth-first branch-and-bound algorithm that makes use of extra precedence relations to resolve a number of resource conflicts and a fast recursive search algorithm for the max- npv problem to compute upper bounds are introduced.