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Integer Programming Optimization-based Simulation in Allocating Medical Doctors in Rural Public Health Facilities in Kenya

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dc.contributor.author Major, Bulinda Vincent
dc.date.accessioned 2026-10-10T20:08:59Z
dc.date.available 2026-10-10T20:08:59Z
dc.date.issued 2024-05
dc.identifier.issn 2456-9968
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/12853
dc.description.abstract The linear Programming technique is an essential tool in the efficient distribution of physicians within rural public hospitals and is essential for maximizing the use of healthcare resources and enhancing patient access to high-quality treatment. A simulation approach based on integer programming optimization to handle the doctor allocation problem in rural public hospitals in Kenya as a methodology is considered. The objective function, constraints, and decision variables are applied in the allocation strategy that takes into account limitations of physician availability, facility capacity, and patient demand aimed at minimizing patient waiting time. The present study adds to the corpus of knowledge in healthcare operations research by offering significant insights into the optimization of doctor allocation in public hospitals and decision making. en_US
dc.language.iso en en_US
dc.publisher Journal of Advances in Mathematics and Computer Science en_US
dc.subject Integer programming; decision variables; health system planning; distribution of physicians; rural public hospitals. en_US
dc.title Integer Programming Optimization-based Simulation in Allocating Medical Doctors in Rural Public Health Facilities in Kenya en_US
dc.type Article en_US


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