A heuristic approach to improving the design of nurse training schedules

Article

Nooriafshar, Mehryar. 1995. "A heuristic approach to improving the design of nurse training schedules." European Journal of Operational Research. 81 (1), pp. 50-61.
Article Title

A heuristic approach to improving the design of nurse training schedules

ERA Journal ID148
Article CategoryArticle
Authors
AuthorNooriafshar, Mehryar
EditorsMercer, Alan, Tilanus, Bernhard and Zimmerman, Hans-Jurgen
Journal TitleEuropean Journal of Operational Research
Journal Citation81 (1), pp. 50-61
Number of Pages11
Year1995
PublisherElsevier
Place of PublicationNetherlands
ISSN0377-2217
1872-6860
Web Address (URL)http://www.sciencedirect.com/science/article/pii/0377221793E0131G
Abstract

The transitional period simulation program (TRANSIM) along with its supporting data base programs constitute a package which has been developed as part of the author's PhD. research. The software has been written in such a way that it can readily, with minimal modification, be transferred to any computer which supports BASIC. The system can simulate staffing levels of trainee nurses on wards, and identify overstaffings and understaffings. The results are produced in graphical format which will make it easy for the user to evaluate. Although the package has been designed specially for simulating staffing levels during the transition period, it can also be used to predict the combined effect of a number of existing concurrent courses of different types on the staffing levels of the hospital wards. An extended version of the simulation program incorporates the ideas of expert systems; and the software algorithm uses experiential or judgemental knowledge of the allocation officers to produce possible plans of action for re-scheduling the training courses in such a way that minimal overstaffings and understaffings on wards are achieved. An approach similar to that of Ernst and Newell's Mean Ends analysis of GPS was adopted, and a constraint directed reasoning approach was used to reduce the difference between the initial and the goal states, to achieve satisfactory solutions. The experience gained from developing TRANSIM has led to further work and research in the general area of scheduling and resource allocation.

Keywordsallocation; training schedule; block; transition period; simulation; TRANSIM; judgemental knowledge; means ends analysis
ANZSRC Field of Research 2020350302. Business information management (incl. records, knowledge and intelligence)
460207. Modelling and simulation
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Byline AffiliationsSchool of Management and Enterprise
Institution of OriginUniversity of Southern Queensland
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