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  4. Dynamic Booking Management and Capacity Allocation for Healthcare Industry
 
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Dynamic Booking Management and Capacity Allocation for Healthcare Industry

Date Issued
2012
Date
2012
Author(s)
Tsay, I-Luen
URI
http://ntur.lib.ntu.edu.tw//handle/246246/254658
Abstract
This research uses dynamic programming to propose a flexible heuristic dynamic booking management and capacity allocation model. Recently, demands for healthcare are rising. However, finite resources can''t fulfill infinite demands. It would be necessary to develop an efficient capacity allocation and booking management model to healthcare industry. The proposed model is able to approach simple and complex patients booking and capacity allocation problem such that resource utilization is high, and resource idleness and overtime is reduced. It also considers patient demand, cancellation, no-show, and service time uncertainties. Different from the other industries, optimization in healthcare service has to take profit, medical quality into account. Hence, we construct a utility function to evaluate performance, which comprise of revenue, overtime cost and the potential loss on service quality. And the objective is to maximize the expected utility. To manifest the robustness of our model, we use C# to establish a registration simulation system, and compare our heuristic model with other booking methods. In simple model, our heuristic model has nearly the same booking policy, utility and resource utilization as optimal booking policy of dynamic programming. Moreover, not only in simple model, but also in the real case from Healthcare Management Center (HMC) of a certain hospital in Taipei, our heuristic model is more robust and superior to fixed capacity allocation and booking method, and constant upper-limit booking method under various parameters.
Subjects
healthcare service
dynamic programming
dynamic booking management
multi demand types
Type
thesis
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ntu-101-R99546007-1.pdf

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