Belirsiz Taleplerle Hemşire Çizelgeleme Problemi için Stokastik Hedef Programlama

Abstract

Shift scheduling, which has a direct impact on the productivity of enterprises, is a problem that should always be considered.On the basis of the problem, it is aimed to assign people to shifts according to their competencies, to have a fair distribution of overtime expected from each other and to have minimum deviation from each other.In this study, nurse scheduling chose for the assignment problem.In determining the constraints, the mandatory situations determined by the law, the needs determined by the hospital, the competencies/responsibilities of the employees and annual leave situations taken into consideration.Goal programming has been used in order to achieve multiple goals that may conflict with each other, where all the constraints are met, with minimum deviation.In addition, stochastic parameters were added to the model in order to respond to the demands in different scenarios based on probabilistic real-life data.In the content of the selected problem, a modeling that provides fair distribution by providing the necessary constraints for twenty-eight nurses with different competencies working in two different units and can provide the appropriate response to uncertainty situations has been made.The model was solved by using mixed integer programming (MIP) with GAMS program.