Article ID Journal Published Year Pages File Type
381965 Expert Systems with Applications 2016 13 Pages PDF
Abstract

•The proposed heuristic achieves near-optimal solutions in different sized instances.•The heuristic is based on the well-known parallel scheduling scheme (RCPSP).•Two new concepts were introduced to cope with the existence of multi-skilled resources.•The heuristic outperforms a commercial solver both in time and solution quality.

In this paper we investigate one of the most recent extensions of the Resource Constrained Project Scheduling Problem (RCPSP): the Multi-Skill Resource Constrained Project Scheduling Problem (MSRCPSP). For this complex problem we propose the use of a parallel scheduling scheme. Such scheme has been successfully applied to the RCPSP. Nevertheless, in order to apply it to the MSRCPSP two new concepts are developed: resource weight and activity grouping. We discuss such concepts and use them for the new heuristic framework proposed. A series of computational tests performed using a large number of instances and reported in this paper shows that the new heuristic is very effective in finding high quality solutions within very small CPU times.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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