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Economic Models - Convex Optimization

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168 Anna-Maria Mouza<br />

The solution obtained with the re-stated restrictions satisfies all requirements.<br />

Now, total expenses sum up to 1,857,817.125. It has to be underlined,<br />

however, that since the value of the deviational variable d43 − is<br />

70,317.2, it is implied that total gross profits undergo a reduction of about<br />

9.38% (from 750,000 to 679,682.8), which is a bit higher when compared<br />

to the corresponding percentage (∼6%) of total salary reduction. Nevertheless,<br />

the results provide a sound basis to achieve an optimal solution, in the<br />

sense that it is acceptable by all people involved without any violations of<br />

the existing rules.<br />

8. Conclusions<br />

Many clinics like the one presented here benefit the patients, the health<br />

service in a convenient way, and help attain consistency and continuity<br />

of treatment. These achievements are heavily dependent on a successful<br />

budget planning. The characteristics of a model of this type for a clinic<br />

are based upon many factors, such as the type of the clinic, the location,<br />

the size, the medical specialty, etc. Hence, it is difficult to design a general<br />

model that can be applied to all types of clinics. However, once a budget<br />

planning model has been developed, it can be easily modified at a later<br />

stage to fit many other types of clinics. With this in mind, I consider in this<br />

paper an orthopedic clinic and implemented a model designed for a fiveyear<br />

planning period, using the goal programming approach of aggregate<br />

budget planning for this particular health care unit. To start with, the goals<br />

and the relevant priorities are set in advance, to formulate the corresponding<br />

goal programming model. The solution obtained is operational in the sense<br />

that, through the analysis of resource requirements, the acceptable charge<br />

per patient, the desired level of gross profits, the claimed rate of salary<br />

increases by the employees, and the trade-offs among the set of goals are<br />

achieved with a minimum sacrifice. The model shows that this sacrifice is<br />

negotiable between different sides, so that the business manager can finally<br />

establish an aggregative budget planning with the best perspectives, since<br />

the realization of a fair wage policy can be obtained through using the<br />

composite index, introduced in this paper.<br />

References<br />

Charnes, A and W Cooper (1961). Management <strong>Models</strong> and Industrial Applications of<br />

Linear Programming (Vols. 1 and 2). New York: Wiley.<br />

Everett, JE (2002). A decision support simulation model for the management of an elective<br />

surgery waiting system. Health Care Management Science 5, 89–95.

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