Modeling for project scheduling with multi-skilled workforce constraints and uncertainty

This paper presents a new workforce allocation optimization model for project scheduling problems with multi-skilled workforce constraints (PSPMSWC), under uncertainty about the projects. The model is a mixed-integer program(MIP) model that aims at maximizing the total profit. As a subproblem, scheduling and staff assignment for projects must also be optimized. In the experiment, projects are selected randomly, and we get the workforce allocation optimal solution as well as workforce assigned optimal strategy by means of CPLEX.