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Staff scheduling, also known as timetabling, is a task to be done in any organization with several employees. In this paper, we revisit its modeling as a minimum cost maximum flow problem in a network, which has the decisive advantage to be solvable with a polynomial time algorithm. Besides the...
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Flexibility in workforce planning is one of the best ways to respond to fluctuations of the demand. This paper proposes a flexible mixed integer linear programming (MILP) model to solve a multiple-shift workforce planning problem under annualized working hours. The model takes into account laws...
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