none

• Main Authors: Wen-Zhe Hou, 侯文哲
• Other Authors: Chang-Chun Tsai
• Format: Others
• Language: zh-TW
• Published: 2002
• Online Access: http://ndltd.ncl.edu.tw/handle/sj52v2

碩士 === 國立成功大學 === 工業管理科學系碩博士班 === 90 === The manpower management of nursing staff is always the most important subject in hospital management. So, it appears important to manage the work schedule of nursing staff. Formerly, nurse manager arranges the whole work schedule by hand. That is for nursing staff to arrange their work shift and off days by themselves and for nurse manager to balance the unit’s policy with the personal need. Though it gives the staffs with more autonomy property, it is time costly and inefficient due to the huge work shift data and the plenty considerable factors. By the way, it is hard to achieve fairness with the arrangement done by hand. In the past, correlated researches about nurse scheduling were used by integer programming model, tabu search, cyclical scheduling as well as genetic algorithms, to generate feasible or suitable solution. To synthesize, In order to simplify the multifarious details about nurse scheduling, this study brings up an integrated scheduling system bases on interactive web page technology and genetic algorithms. In system user interface, it will be as easy as browsing WWW to arrange the work schedule. In system algorithm core, it uses genetic algorithms as its optimal method. According to the restriction of hospital policies, staff preference and government rules, this study tries to achieve these two goals: 1. Fairness purpose: to solve the unfairness that is caused by carelessness or partiality of nurse manager. 2. Autonomy purpose: to coordinate between rules and humanity, that offers the staff a free chance to arrange their work shift and off days.