Applying Fuzzy and AHP toSolve Nurse Scheduling Problems

• Main Authors: Ying-Jie Lin, 林英傑
• Other Authors: Ping-Shun Chen
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/29270346804049176928

碩士 === 中原大學 === 工業與系統工程研究所 === 101 === The radiologist scheduling problem is a multi-objective and complicated problem. The purpose of this research is to obtain an appropriate number of radiologists, and assign their monthly schedule which satisfies the government regulations, hospital regulations, and the radiologists’ preference. The radiologists of the Emergency Room have eight hour a shift, three shifts a day,and seven days a week. This research considers not only hard constraints (i.e., government regulation), but also soft constraints (i.e., radiologists’ preference). Hence, the formulated radiologist scheduling problem becomes more flexible and practical. The methodology of this research is to use the fuzzy theory to obtain the appropriate radiologists, construct a multi-objective radiologist scheduling problem, and apply the analytic hierarchy process (AHP) to determine the weight of objectives. This study adopts the ILOG software to solve this proposed problem. If the optimal solution is zero, it means that there is no violation against soft constraints. Otherwise, there is at least one violation against soft constraints. Further, this research performs the sensitivity analysis for the number of radiologists. The findings show that hospitals can determine the feasible number of radiologists and obtain their monthly schedule. This study performs the scenario analysis to explore the impact of the vacation constraint on the radiologist schedule. The outcomes show that adding the vacation constraint can generate a fairer radiologist schedule.