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A Cluster-based Stratified Hybrid Decision Support Model under Uncertainty: Sustainable Healthcare Landfill Location
Erfan Babaee Tirkolaee1, Ali Ebadi Torkayesh2
1Department of Industrial Engineering, Istinye University, Istanbul, Turkey.
Applied Intelligence (Dordrecht, Netherlands)
|March 14, 2022
Summary
This study presents a novel decision support system for selecting healthcare waste landfill locations, integrating K-means, SBWM, and MARCOS-CoCoSo methods. The system ensures safe and economical disposal, addressing environmental and health concerns in urban areas.
Area of Science:
- Environmental Science
- Public Health
- Operations Research
Background:
- Healthcare waste management is a critical environmental and health issue, exacerbated by population growth and pandemics.
- Inappropriate waste disposal poses significant risks to urban environments, public health, and economies.
- Cities need robust decision support systems for strategic planning of safe healthcare waste disposal.
Purpose of the Study:
- To develop and validate a novel decision support system for optimal healthcare waste landfill location selection.
- To integrate advanced algorithms for handling uncertainty and expert opinions in decision-making.
- To provide a prospective vision for safe and economical healthcare waste management.
Main Methods:
- Integration of K-means clustering, Stratified Best-Worst Method (SBWM), and a hybrid MARCOS-CoCoSo model under grey interval numbers.
- Consideration of waste generation rates, potential future events, and expert opinion uncertainty.
- Application of the methodology to a real-world case study in Mazandaran province, Iran, involving 79 medical centers and 9 criteria.
Main Results:
- The proposed methodology successfully clustered 79 medical centers into 4 groups and prioritized candidate landfill locations based on 9 criteria.
- Sensitivity analysis confirmed the robustness of the results.
- The hybrid model demonstrated high efficiency compared to existing methods.
Conclusions:
- The developed decision support system is effective for complex healthcare waste landfill location problems.
- Adherence to local regulations and future expansion potential were identified as key prioritization criteria.
- The methodology offers a reliable tool for authorities to ensure safe and economical healthcare waste disposal.
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