Title :
Nurse scheduling using binary fuzzy goal programming
Author :
Cetin, Ece ; Sarucan, Ahmet
Author_Institution :
Dept. of Ind. Eng., Selcuk Univ., Konya, Turkey
Abstract :
Nurse scheduling problem (NSP) is a complex optimization problem of determining schedule for nurses by considering some constraints such as legal regulations, nurses´ preferences, hospital policies and requirements. It is a difficult and time consuming task to deal with large problems with many constraints. In addition to this, in real world application, a person who prepared this schedule (e.g. head nurse), may be unable to state exact aspiration levels to the goals cause of system´s uncertainties. So in this study, a multi objective integer programming model for NSP is proposed and then based on this model, Chang´ binary fuzzy goal programming approach [1] is applied our problem. Finally a case study which is applied to a hospital in Konya, Turkey is presented to demonstrate the efficiency of the model.
Keywords :
fuzzy set theory; hospitals; integer programming; patient care; scheduling; Konya; NSP; Turkey; binary fuzzy goal programming; complex optimization problem; hospital policies; legal regulations; multiobjective integer programming model; nurse preferences; nurse scheduling problem; Adaptation models; Artificial intelligence; Hospitals; Job shop scheduling; Mathematical model; Programming; Schedules; binary fuzzy goal programming; hospital; nurse scheduling;
Conference_Titel :
Modeling, Simulation, and Applied Optimization (ICMSAO), 2015 6th International Conference on
Conference_Location :
Istanbul
DOI :
10.1109/ICMSAO.2015.7152212