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Capacity planning for waste management systems: an interval fuzzy robust dynamic programming approach.
Xianghui Nie1, Guo H Huang, Yongping Li
1Faculty of Engineering, University of Regina, Regina, Saskatchewan, Canada.
Journal of the Air & Waste Management Association (1995)
|December 2, 2009
Summary
This study introduces interval fuzzy robust dynamic programming (IFRDP) to handle uncertainty in optimization. The IFRDP model enhances decision-making for complex systems like municipal solid waste management.
Area of Science:
- Operations Research
- Environmental Management
- Decision Science
Background:
- Optimization methods often struggle with high levels of system uncertainty.
- Existing interval dynamic programming lacks robust handling of fuzzy and interval data.
- Municipal solid waste (MSW) management involves complex decisions under uncertainty.
Purpose of the Study:
- To develop an Interval Fuzzy Robust Dynamic Programming (IFRDP) model.
- To integrate interval numbers and fuzzy sets for robust optimization.
- To enhance the handling of uncertain information in dynamic programming.
Main Methods:
- Introduced the concept of a fuzzy boundary interval.
- Developed an interval-parameter fuzzy robust programming method for embedded linear programming.
- Applied the IFRDP model to a hypothetical MSW management problem.
Main Results:
- Generated interval solutions for waste-flow allocation and facility expansion.
- Demonstrated enhanced robustness in the optimization process and solutions.
- Provided useful decision alternatives for MSW management planning.
Conclusions:
- The IFRDP approach effectively handles highly complex and uncertain information.
- The model is applicable to practical optimization problems, particularly in environmental management.
- Robust and useful solutions can be obtained for waste management systems.
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