Publication

A priority rule heuristic for the multi-skilled resource-constrained project scheduling problem

Vermeire, Guillaume
Citations
Google Scholar:
Altmetric:
Publication Type
Journal article with impact factor
Editor
Supervisor
Publication Year
2025
Journal
Applied Soft Computing
Book
Publication Volume
171
Publication Issue
March
Publication Begin page
Publication End page
Publication Number of pages
Collections
Abstract
This research presents a priority rule heuristic approach for the multi-skilled resource-constrained project scheduling problem. The approach is based on a parallel schedule generation scheme which includes a new resource assignment procedure. The scheme combines three types of priority rules in order to schedule activities and assign resources to the skill requirements of these activities. In computational experiments, skill- and resource rule combinations are evaluated and selected based on two metrics using a Pareto Front approach. These rule combinations are then integrated with various activity priority rules after which their solution quality is evaluated. The heuristic approach and the selected rules are then employed to solve all project instances of the MSLIB dataset. It is shown that, on average, the presented approach is able to obtain solutions with a comparable quality to the solution quality of a meta-heuristic procedure from literature. Additionally, new best known solutions are obtained for the MSLIB dataset. The practical applicability of the heuristic is validated by solving empirical project instances.
Research Projects
Organizational Units
Journal Issue
Keywords
Project Scheduling, Multi-skilled Resources, Priority Rules, Heuristic, Resource Assignment
Citation
Knowledge Domain/Industry
Other links
Embedded videos