A constraint-based nurse rostering system using a redundant modeling approach
Refereed conference paper presented and published in conference proceedings


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摘要This paper describes the design and implementation of a nurse rostering system using a redundant modeling approach. Nurse rostering is defined as a process of generating timetables for specifying the work shifts of nurses over a given period of time. This process is difficult because the human roster planner has to ensure that every rostering decision made complies with a mixture of hard hospital rules and soft nurse preference rules. Moreover some nurse shift pre-assignments often break the regularity of wanted (or unwanted) shifts and reduce the choices for other unfilled slots. Soft constraints amount to disjunction, which can be modeled as choices in the search tree. This approach, although straight forward, incurs overhead in the search of solution. We propose redundant modeling, an effective way to speed up constraint propagation through cooperations among different models for the same problem, as a means to reduce search time. Experiments and pilot testing of the system confirm the feasibility of our method.
著者Cheng BMW, Lee JHM, Wu JCK
會議名稱8th IEEE International Conference on Tools with Artificial Intelligence (TAI 96)
會議開始日16.11.1996
會議完結日19.11.1996
會議地點TOULOUSE
會議國家/地區法國
期刊名稱2011 23RD IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2011)
出版年份1996
月份1
日期1
出版社I E E E, COMPUTER SOC PRESS
頁次140 - 148
國際標準書號0-7803-3757-3
國際標準期刊號1082-3409
語言英式英語
Web of Science 學科類別Computer Science; Computer Science, Artificial Intelligence

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