The multi-skilled resource-constrained project scheduling problem

A recent extension of the classic RCPSP is the multi-skilled resource-constrained project scheduling problem (MSRCPSP) in which activities require skills to be executed and the resources , i.e. the humans, possess a set of skills. The problem has been investigated in the literature under different settings, and OR&S is working intensively on this challenging problem, with results described on this page. 

Research studies

A new solution procedure for solving the MSRCPSP has been proposed that incorporates the concepts of depth and breadth of skills (Snauwaert and Vanhoucke, 2021). In a second study, a classification scheme for adding resource skills to the RCPSP as well as benchmark datasets are proposed (paper under submission). 


New datasets

We have generated four new datasets MSLIB1 to MSLIB4 to test existing and new procedures, as well as a classification scheme.

MSLIB ( Download our four libraries with one click!

  • MSLIB1: A basic set with a moderately wide range of workforces and projects. The focus lies on workforce size and the number of mastered skills in the workforce.
  • MSLIB2: A set with larger project instances up to 90 activities and resource skills.
  • MSLIB3: A set with a large number of instances, generated with detailed settings for the resource skills. This set can be used for a detailed analysis of the impact of the workforce on the construction of a project schedule.
  • MSLIB4: A set composed of the hardest instances with projects of 30 activities. The purpose of this set is to test quality of solution approaches from the literature.

Existing datasets

Four existing datasets from the following papers were converted to the .msrcp file format used for our MSLIB dataset:

  • Correia(2012).zip: Correia, I., Lampreia-Lourenço, L., and Saldanha-da Gama, F. (2012). Project scheduling with flexible resources: formulation and inequalities. OR spectrum, 34(3):635–663.
  • Montoya(2014).zip: Montoya, C., Bellenguez-Morineau, O., Pinson, E., and Rivreau, D. (2014). Branch-and-price approach for the multi-skill project scheduling problem. Optimization Letters, 8(5):1721–1734.
  • iMOPSE(2015).zip: Myszkowski, P. B., Skowroński, M. E., Olech, L􏰀. P., and Oslizl􏰀o, K.(2015). Hybrid ant colony optimization in solving multi-skill resource-constrained project scheduling problem. Soft Computing, 19(12):3599–3619.
  • Almeida(2016).zip: Almeida, B. F., Correia, I., and Saldanha-da Gama, F. (2016). Priority-based heuristics for the multi-skill resource constrained project scheduling problem. Expert Systems with Applications, 57:91–103.