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Fuzzy bi-objective preventive health care network design
Soheil Davari1, Kemal Kilic, Gurdal Ertek
1Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul, Turkey, soheil@sabanciuniv.edu.
Health Care Management Science
|August 31, 2014
Summary
This study introduces a fuzzy model to optimize preventive healthcare facility placement, considering attractiveness and equity. It enhances public participation by incorporating factors beyond distance, like perceived quality and nearby attractions.
Area of Science:
- Health Economics
- Operations Research
- Public Health Policy
Background:
- Preventive healthcare requires public motivation, making facility attractiveness crucial.
- Traditional models focus on distance, neglecting qualitative factors influencing attractiveness.
- Equity and cost-effectiveness are vital for public policy in healthcare access.
Purpose of the Study:
- To develop a fuzzy bi-objective model for optimizing preventive healthcare facility location.
- To incorporate vague concepts of attractiveness and soft budget constraints for realism.
- To propose fuzzy goal programming and fuzzy chance-constrained optimization methods.
Main Methods:
- A fuzzy bi-objective model was developed, using fuzzy triangular numbers for attractiveness.
- A modified model treated budget constraints as soft constraints.
- Fuzzy goal programming and fuzzy chance-constrained optimization were used for solutions.
- Microsoft Bing Map was utilized for accurate distance measurements in a case study.
Main Results:
- The study successfully applied fuzzy modeling to healthcare facility location problems.
- Both original and modified models were solved and validated through a case study in Istanbul.
- The findings demonstrate a more realistic approach to facility planning by including qualitative factors.
Conclusions:
- Fuzzy modeling offers a robust framework for addressing the complexities of preventive healthcare facility location.
- Considering attractiveness beyond distance and incorporating equity and cost-effectiveness leads to better public policy.
- The proposed methodologies provide practical tools for optimizing healthcare access and resource allocation.
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