Assigning human resources to work is a planning task common to any organization. The problem in focus arose in IT-departments of two large companies. There, multiple projects have to be processed by internal and external human resources with different skills, efficiencies, and unit costs. Quantitative optimization models can minimize labor costs for scheduling and staffing these projects. The performance of the models is assessed w.r.t. solution gap and computation time and managerial insight concerning the influence of different problem parameters on costs is given. An efficient hybrid metaheuristic is presented that can solve large problem instances in a reasonable amount of time. Finally, influences of learning and depreciation of knowledge on the staffing subproblem are analyzed. An optimization model is used to gain managerial insight to the problem of determining a cost-optimal qualification path for human resources.
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Assigning human resources to work is a planning task common to any organization. The problem in focus arose in IT-departments of two large companies. There, multiple projects have to be processed by internal and external human resources with different skills, efficiencies, and unit costs. Quantitative optimization models can minimize labor costs for scheduling and staffing these projects. The performance of the models is assessed w.r.t. solution gap and computation time and managerial insight co...
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