Nursing scheduling by graph colouring approach / Fatin Aina Syafiqah Che Anuar, Siti Hazirah Mohd Zaki and Nur ‘Afifah Othman

Che Anuar, Fatin Aina Syafiqah and Mohd Zaki, Siti Hazirah and Othman, Nur ‘Afifah (2018) Nursing scheduling by graph colouring approach / Fatin Aina Syafiqah Che Anuar, Siti Hazirah Mohd Zaki and Nur ‘Afifah Othman. [Student Project] (Unpublished)

Abstract

Most the healthcare facilities are operating 24 hours that require nurse at all times. Generally, there are two or more shifts in a day among the nurses. Nurse scheduling was a difficult scheduling problem that occurs when constructing the schedule for each nurse. There are some problems that need to be considering in having a good scheduling. Normally, the scheduling was created manually that will affect the dissatisfaction of nurses. So, the schedule should be fair enough for everyone and not disturbing nurses' health, families, or social lives. The aim of this study is to analyse the manual schedule for the total number of working days, day shift and night shift and to maximise working days of a nurse by using graph colouring approach. In this study, nurse schedule is a secondary data made by the head nurse of Riyadh Al-Kharj Hospital in Saudi Arabia. The clique number, adjacency matrix, vertex colouring and chromatic number were applied while using Graph colouring approach. Then, GraphTea is used to solve the conflicts among the nurses and the schedule was constructed by using Microsoft Excel linked by Visual Basic for Application (VBA). The graph colouring schedule has shown a feasible solution for the scheduling problem. The better result of this study can be achieved when the number of nurses is increasing in constructing the schedule for getting the flexible and efficient result.

Metadata

Item Type: Student Project
Creators:
Creators
Email / ID Num.
Che Anuar, Fatin Aina Syafiqah
UNSPECIFIED
Mohd Zaki, Siti Hazirah
UNSPECIFIED
Othman, Nur ‘Afifah
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Wan Abdul Aziz, Rossidah
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Mathematical statistics. Probabilities
Q Science > QA Mathematics > Mathematical statistics. Probabilities > Data processing
Q Science > QA Mathematics > Analysis > Analytical methods used in the solution of physical problems
Divisions: Universiti Teknologi MARA, Negeri Sembilan > Seremban Campus > Faculty of Computer and Mathematical Sciences
Programme: Bachelor of Science (Hons.) Mathematics
Keywords: Nursing, scheduling, graph colouring approach
Date: 2018
URI: https://ir.uitm.edu.my/id/eprint/49517
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