A Multi-Objective Evolutionary Approach to Optimize Operating Room Scheduling Problems

• Main Authors: Lai,Kuan-Yu, 賴貫郁
• Other Authors: Jian-Hung Chen
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/79056640078768159434

碩士 === 中華大學 === 資訊工程學系碩士班 === 100 === The operating room is one of the most expensive parts of hospital operating costs. The cost of operating room is closely related to the operating room scheduling operations. In this thesis, operating rooms, surgical teams and patient information are integrated and constructed into a mathematical optimization model. The objective of this model is to plan a week of operating room schedule list. Therefore, a multi-objective genetic algorithm (MOGA) is applied to automatically assign the patient and surgical team to the operating room. Our approach can optimize the four cost objective function at the same time: minimize the cost of all the surgical team and operating room, and matching the preferences of the surgical team to reduce patient waiting days. The experimental results show that the proposed approach can provide a good tool for hospital decision-makers, and indirectly improve healthcare efficiency and quality, while reducing unnecessary waste.