Application of genetic algorithm to find optimal work scheduling for nurses-a case study at the ENT Department,KATH
| dc.contributor.author | Mensah, Ernest | |
| dc.date.accessioned | 2014-10-20T10:53:00Z | |
| dc.date.accessioned | 2023-04-20T22:40:55Z | |
| dc.date.available | 2014-10-20T10:53:00Z | |
| dc.date.available | 2023-04-20T22:40:55Z | |
| dc.date.issued | 2014-10-20 | |
| dc.description | A thesis submitted to the Department of Mathematics, Kwame Nkrumah University of Science and Technology in partial fufillment of the requirement for the degree of MSc Industrial Mathematics. | en_US |
| dc.description.abstract | Hospitals need to repeatedly produce duty rosters for its nursing sta s.The good scheduling of nurses has an impact on the quality of health care,the recruitment of nurses, the development of budgets and other nursing functions. Nurse scheduling is a well known scheduling problem that aims at allocating the required workload to the available sta nurses. This work tends to formulate a model to minimise the shift of nurses using the genetic based algorithm.The results obtained showed that the shift of nurses has been minimised so as to pre-vent a ward from being oversta ed or understa ed while satisfying the needs of the patients. The study shows that genetic algorithm based method can nd optimal schedules that are feasible and acceptable for hospital nursing units. | en_US |
| dc.description.sponsorship | KNUST | en_US |
| dc.identifier.uri | https://ir.knust.edu.gh/handle/123456789/6623 | |
| dc.language.iso | en | en_US |
| dc.title | Application of genetic algorithm to find optimal work scheduling for nurses-a case study at the ENT Department,KATH | en_US |
| dc.type | Thesis | en_US |
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