Optimum Allocation Of Resources In Health Care Organization Through Fuzzy Goal Programming

Abstract

In this paper, this study proposed a fuzzy mixed goal programming model addressing health care organization’s resource allocation problem in a fuzzy environment. Compared to other deterministic techniques, the formulation can effectively handle the vagueness and imprecision in the statement of the objectives and ensure that the more importance of a fuzzy goal, the higher achievement degree it can obtain. Further, the formulation can easily be extended to other service organizations when the decision variables are vague and decision makers need to determine a desired achievement degree and preemptive priority for each of the fuzzy goals based on the relative importance of the goals. An example case with realistic data from the Turkeys health care organization structure showed the effectiveness and flexibility of our model to handle real world problems. With more information about the ser- vice structure and behaviors of healthcare organization, the system can set clear priority values as fuzzy weight (or importance) in future studies.