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4322. Mathematical Models for New Hemodialysis Center Location Determination and Patient Scheduling
Invited abstract in session TA-15: Location planning in healthcare, stream OR in Health Services (ORAHS).
Tuesday, 8:30-10:00Room: 18 (building: 116)
Authors (first author is the speaker)
1. | Gercek Budak
|
Industrial Engineeing, Ankara Yıldırım Beyazıt University | |
2. | Gökçe Sabriye Horuk
|
Ankara Yıldırım Beyazıt University | |
3. | Berfin Osedya Menlik
|
Ankara Yıldırım Beyazıt University | |
4. | Aleyna Ağırman
|
Ankara Yıldırım Beyazıt University |
Abstract
Location selection and assignment problems, which are of great importance in healthcare systems, are strategic decision problems. In location selection, topics such as the capacity of the sectors, the market area where the sector is located, the performance of the system and efficiency affect the decision maker's choice. This study initializes to determine the location of the service center where the most preferred hemodialysis treatment is going to be offered in the treatment of Chronic Renal Failure (CRF), which is increasing rapidly, and on the assignment of patients to hemodialysis centers. Decision problems have been identified by different decision makers regarding CRF, which has morbidity and mortality values. Among the decision problems listed from the perspective of different decision makers, the mathematical model proposal for the new hemodialysis location determination determined as the subject of the study. In the problem, it is aimed to optimize service access to hemodialysis patients with the hemodialysis center planned to be opened by determining the area where hemodialysis treatment is most needed with the land allocation model. The aim of the study was to provide hemodialysis services at a minimum distance with different variations to hemodialysis patients in Ankara, Turkey which was selected as the pilot region. Four different objective functions are designed as the decision maker may have different preferences.
Keywords
- Health Care
- Programming, Linear
- Mathematical Programming
Status: accepted
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