A mathematical model for identifying an optimal waste management policy under uncertainty |
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| Authors: | YP Li GH Huang SL Nie |
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| Institution: | 1. MOE Key Laboratory of Regional Energy Systems Optimization, S-C Energy and Environmental Research Academy, North China Electric Power University, Beijing 102206, China;2. College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100022, China |
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| Abstract: | In the municipal solid waste (MSW) management system, there are many uncertainties associated with the coefficients and their impact factors. Uncertainties can be normally presented as both membership functions and probabilistic distributions. This study develops a scenario-based fuzzy-stochastic quadratic programming (SFQP) model for identifying an optimal MSW management policy and for allowing dual uncertainties presented as probability distributions and fuzzy sets being communicated into the optimization process. It can also reflect the dynamics of uncertainties and decision processes under a complete set of scenarios. The developed method is applied to a case study of long-term MSW management and planning. The results indicate that reasonable solutions have been generated. They are useful for identifying desired waste-flow-allocation plans and making compromises among system cost, satisfaction degree, and constraint-violation risk. |
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| Keywords: | Environment Management Fuzzy sets Quadratic programming Optimization Solid waste |
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