title: Scheduling projects with multiskill learning effect.
abstract: We investigate the project scheduling problem with multiskill learning effect. A new model is proposed to deal with the problem, where both autonomous and induced learning are considered. In order to obtain the optimal solution, a genetic algorithm with specific encoding and decoding schemes is introduced. A numerical example is used to illustrate the proposed model. The computational results show that the learning effect cannot be neglected in project scheduling. By means of determining the level of induced learning, the project manager can balance the project makespan with total cost.
authors.affiliation: College of Management and Economics, Tianjin University, No. 92 Weijin Road, Nankai District, Tianjin 300072, China.
authors.forename: Hong
authors.identifier: 0000-0003-1123-004X
authors.initials: H
authors.lastname: Zha
authors.affiliation: College of Management and Economics, Tianjin University, No. 92 Weijin Road, Nankai District, Tianjin 300072, China.
authors.forename: Lianying
authors.identifier: 0000-0002-6083-5750
authors.initials: L
authors.lastname: Zhang
mesh_terms: D000465:Algorithms; D007858:Learning; D008962:Models, Theoretical