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Related Experiment Videos

Minimax regret optimization analysis for a regional solid waste management system.

Ni-Bin Chang1, Eric Davila

  • 1Department of Civil and Environmental Engineering, University of Central Florida, 4000 Central Florida Blvd., Orlando, FL 32816, USA. nchang@mail.ucf.edu

Waste Management (New York, N.Y.)
|June 24, 2006
PubMed
Summary

This study uses minimax regret optimization to improve solid waste management (SWM) strategies in the Lower Rio Grande Valley. It provides insights for sustainable SWM decisions in this growing region.

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Area of Science:

  • Environmental Science and Engineering
  • Operations Research
  • Regional Planning

Background:

  • Effective solid waste management (SWM) is vital for urban environmental and public health.
  • Organizations face challenges in diversifying treatment, enhancing infrastructure reliability, and optimizing waste stream redistribution.
  • Systems analysis is crucial for assessing integrated SWM systems and informing decision-makers with risk-informed strategies.

Purpose of the Study:

  • To apply minimax regret optimization for enhancing SWM strategies in the Lower Rio Grande Valley (LRGV).
  • To link waste streams with SWM alternatives under diverse conditions using event-based simulation.
  • To analyze trade-offs and regret evaluation for optimizing regional SWM.

Main Methods:

  • Event-based simulation to connect estimated waste streams with SWM alternatives based on environmental, economic, legal, and social factors.

Related Experiment Videos

  • Minimax regret optimization analysis to evaluate trade-offs and regret across predetermined scenarios.
  • Multi-criteria optimization applied to waste diversion for incineration, composting, and recycling facilities.

    • Main Results:

    • Successful diversion of recyclables, green waste, yard waste, and biosolids from municipal solid waste streams.
    • Identification of trade-offs and regret associated with different SWM strategies and regionalization scales.
    • Model outputs linking regret scenarios to regionalization policies for decision-making.

    Conclusions:

    • The study offers a system-oriented, forward-looking approach to sustainable SWM in the LRGV.
    • Insights gained can aid decision-makers in understanding the consequences of short-term and long-term SWM decisions.
    • The findings support the development of sustainable SWM strategies in rapidly developing borderland regions.