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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.

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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.