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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
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A Soft-Path Solution to Risk Reduction by Modeling Medical Waste Disposal Center Location-Allocation Optimization
Liming Yao1, Zhongwen Xu1, Ziqiang Zeng1
1Business School, Sichuan University, Chengdu, 610064, P.R. China.
Summary
Optimizing medical waste disposal center locations balances risks and costs. This study uses a bilevel model to manage government and healthcare provider interactions, ensuring efficient waste management and reduced environmental impact.
Area of Science:
- Environmental Science
- Operations Research
- Public Health
Background:
- Medical waste pollution poses significant environmental and public health risks.
- Effective medical waste management is crucial but challenged by complex stakeholder relationships and optimal facility location.
- Establishing medical waste disposal centers (MWDCs) is a key strategy for risk reduction.
Purpose of the Study:
- To develop a soft-path solution for optimizing medical waste disposal center (MWDC) location-allocation.
- To mitigate risks and associated costs in medical waste management.
- To model the Stackelberg game behavior between local governments and medical institutions.
Main Methods:
- A risk mitigation-oriented bilevel equilibrium optimization model was developed.
- Fuzzy random variables were used to address data uncertainties.
- A hybrid approach combining interactive fuzzy programming and a genetic algorithm was employed.
Main Results:
- The model successfully optimized MWDC locations, balancing stakeholder objectives.
- Achieved higher economic efficiency and significantly reduced environmental and public risks.
- Demonstrated the feasibility of a balanced market through interactive stakeholder strategies.
Conclusions:
- Optimized MWDC location-allocation is essential for effective medical waste management.
- Bilevel optimization effectively models and resolves conflicts between government and healthcare institutions.
- The proposed approach offers a practical solution for reducing risks and costs in medical waste disposal.
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