Abstract
In a multi-project environment, we sometimes need to periodically schedule the tasks for each project and assign staff to the tasks. Such a decision-making problem has been studied in literature; however, learning effect of staff has not been considered in previous studies. This research formulates a mixed nonlinear program for project scheduling and staff allocation problems, which considers learning effect of staff. The objective function is to minimize outsourcing costs. A genetic algorithm (GA) is proposed to solve the problem. Experiments for solving various sizes of test problems has been carried out to validate the proposed GA.
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Wu, MC., Sun, SH. A project scheduling and staff assignment model considering learning effect. Int J Adv Manuf Technol 28, 1190–1195 (2006). https://doi.org/10.1007/s00170-004-2465-0
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DOI: https://doi.org/10.1007/s00170-004-2465-0