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A two-stage interval-stochastic programming model for waste management under uncertainty.

Imran Maqsood1, Guo H Huang

  • 1Environmental Systems Engineering Program, Faculty of Engineering, University of Regina, Regina, Saskatchewan, Canada.

Journal of the Air & Waste Management Association (1995)
|May 31, 2003
PubMed
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This study presents a novel two-stage interval-stochastic programming (TISP) model for robust solid waste management planning. The TISP model effectively handles uncertainty, incorporating policy constraints and providing stable solutions with defined risk levels.

Area of Science:

  • Operations Research
  • Environmental Management
  • Optimization

Background:

  • Solid waste management planning faces significant uncertainty.
  • Existing models may not adequately incorporate policy constraints or diverse uncertainty types.

Purpose of the Study:

  • To develop and apply a two-stage interval-stochastic programming (TISP) model for solid waste management.
  • To effectively integrate policy decisions and uncertain parameters (intervals and probabilities) into optimization.

Main Methods:

  • Formulation of a two-stage interval-stochastic programming (TISP) model.
  • Conversion of the TISP model into two deterministic submodels for sequential solving.
  • Application to a hypothetical regional solid waste management case study.

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Main Results:

  • The TISP model generated reasonable and stable interval solutions.
  • Achieved minimized system costs and maximized system feasibility for waste flow patterns.
  • Solutions provided clear risk levels associated with violating waste-loading criteria.

Conclusions:

  • The TISP model offers a unique approach to solid waste management planning under uncertainty.
  • It successfully links policy requirements with optimization objectives.
  • The model provides valuable decision alternatives with quantifiable risk assessments.