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ITCLP: An inexact two-stage chance-constrained program for planning waste management systems

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  • Li, Y.P.
  • Huang, G.H.
  • Nie, S.L.
  • Qin, X.S.

Abstract

An inexact two-stage chance-constrained linear programming (ITCLP) method is developed for planning waste management systems. The model is derived by incorporating the techniques of two-stage and chance-constrained programming within a general interval-optimization framework. It can tackle uncertainties presented as both probability distributions and discrete intervals. Moreover, it can be used for analyzing various policy scenarios that are associated with different levels of economic penalties when the promised policy targets are violated. It can also help examine the reliability of satisfying (or risk of violating) system constraints under uncertainty. The developed method is applied to a case of long-term waste management planning. Interval solutions associated different risk levels of constraint violation are obtained. They can be used for generating decision alternatives and thus help waste managers to identify desired policies under various environmental, economic, and system-reliability constraints.

Suggested Citation

  • Li, Y.P. & Huang, G.H. & Nie, S.L. & Qin, X.S., 2007. "ITCLP: An inexact two-stage chance-constrained program for planning waste management systems," Resources, Conservation & Recycling, Elsevier, vol. 49(3), pages 284-307.
  • Handle: RePEc:eee:recore:v:49:y:2007:i:3:p:284-307
    DOI: 10.1016/j.resconrec.2006.03.017
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    References listed on IDEAS

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    Cited by:

    1. Li, Y.P. & Huang, G.H. & Nie, S.L., 2009. "A robust interval-based minimax-regret analysis approach for the identification of optimal water-resources-allocation strategies under uncertainty," Resources, Conservation & Recycling, Elsevier, vol. 54(2), pages 86-96.
    2. Xu, Y. & Huang, G.H. & Qin, X.S. & Cao, M.F., 2009. "SRCCP: A stochastic robust chance-constrained programming model for municipal solid waste management under uncertainty," Resources, Conservation & Recycling, Elsevier, vol. 53(6), pages 352-363.
    3. Dai, C. & Li, Y.P. & Huang, G.H., 2012. "An interval-parameter chance-constrained dynamic programming approach for capacity planning under uncertainty," Resources, Conservation & Recycling, Elsevier, vol. 62(C), pages 37-50.
    4. Zhang, Yi Mei & Huang, Guo He, 2011. "Inexact credibility constrained programming for environmental system management," Resources, Conservation & Recycling, Elsevier, vol. 55(4), pages 441-447.
    5. Sun, Y. & Huang, G.H. & Li, Y.P., 2010. "ICQSWM: An inexact chance-constrained quadratic solid waste management model," Resources, Conservation & Recycling, Elsevier, vol. 54(10), pages 641-657.

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