Abstract
With the improvement of the medical services frameworks rivalry, hospitals face more and more challenges. In the interim, allotment of resource has a crucial influence on performing competitive benefits in a hospitals. To choose the suitable beds number is one of the most essential tasks in hospital administration. Anyway, in true condition, bed allotment choice is a multiple-side problem with weakness and haphazardness of the information available. It is so sophisticated. Therefore, the research about bed allotment difficulty is comparatively rare under considering multiple departments, nursing hours, and stochastic information about arrival and service of patients. In this paper, we improve a fuzzy multi-objective bed allotment pattern for defeating doubtfulness and various sections. Fuzzy objectives, and weights are at the same time used to assist the administrators to choose the appropriate beds about various departments. The suggested pattern uses Artificial Bee Colony (ABC), which is so efficient algorithm. The research portrays a use of the pattern in a public hospital in Iraq. The outcome has shown presented an appropriate system for bed allotment and ideal usage.
Recommended Citation
Hasan, Abdulhakeem Luqman
(2019)
"Artificial Bee Colony Algorithm for Solving Fuzzy Multi-Objective Bed Allocation Model,"
Karbala International Journal of Modern Science: Vol. 5
:
Iss.
4
, Article 5.
Available at:
https://doi.org/10.33640/2405-609X.1154
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