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Trash-Flow Allocation: Planning Under Uncertainty

Author

Listed:
  • G. H. Huang

    (Faculty of Engineering, University of Regina, Regina, Saskatchewan, Canada S4S 0A2)

  • B. W. Baetz

    (Department of Civil Engineering, McMaster University, Hamilton, Ontario, Canada L8S 4L7)

  • G. G. Patry

    (University of Ottawa, Ottawa, Ontario, Canada K1N 6N5)

Abstract

The materials in trash, or municipal solid waste (MSW), may be recycled, composted, incinerated, or landfilled. Transporting these materials to waste-management facilities consumes part of the operating budget of a municipality. Many factors, the majority uncertain, may influence the planning of waste-flow allocation. MSW managers want to know (1) whether the existing pattern is close to the optimal, and (2) if not, what is the optimal? We used a gray linear-programming (GLP) model to address these questions for the regional municipality of Hamilton-Wentworth, Ontario. This approach can effectively reflect the interactive relationships between uncertain system components. It can also bring uncertain information into the optimization process and resulting solutions, permitting feasible decision alternatives to be generated. The region's waste managers have used the results to verify or adjust the existing waste-flow allocation pattern. They may also be used to formulate related local policies.

Suggested Citation

  • G. H. Huang & B. W. Baetz & G. G. Patry, 1998. "Trash-Flow Allocation: Planning Under Uncertainty," Interfaces, INFORMS, vol. 28(6), pages 36-55, December.
    • Handle: RePEc:inm:orinte:v:28:y:1998:i:6:p:36-55
    DOI: 10.1287/inte.28.6.36
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    Citations

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    Cited by:

    1. Wang, S. & Huang, G.H., 2014. "An integrated approach for water resources decision making under interactive and compound uncertainties," Omega, Elsevier, vol. 44(C), pages 32-40.
    2. Belien, Jeroen & De Boeck, Liesje & Van Ackere, Jonas, 2011. "Municipal Solid Waste Collection Problems: A Literature Review," Working Papers 2011/34, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
    3. H. Lu & G. Huang & Y. Lin & L. He, 2009. "A Two-Step Infinite α-Cuts Fuzzy Linear Programming Method in Determination of Optimal Allocation Strategies in Agricultural Irrigation Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(11), pages 2249-2269, September.
    4. Yeomans, Julian Scott, 2007. "Solid waste planning under uncertainty using evolutionary simulation-optimization," Socio-Economic Planning Sciences, Elsevier, vol. 41(1), pages 38-60, March.
    5. Gambella, Claudio & Maggioni, Francesca & Vigo, Daniele, 2019. "A stochastic programming model for a tactical solid waste management problem," European Journal of Operational Research, Elsevier, vol. 273(2), pages 684-694.
    6. Federico Bertero & Manuela Cerdeiro & Guillermo A. Durán & Nazareno A. Faillace Mullen, 2023. "Developing Optimization Tools for Municipal Solid Waste Collection in the Argentine City of Berazategui," Interfaces, INFORMS, vol. 53(6), pages 451-464, November.
    7. Li, Y.P. & Huang, G.H. & Guo, P. & Yang, Z.F. & Nie, S.L., 2010. "A dual-interval vertex analysis method and its application to environmental decision making under uncertainty," European Journal of Operational Research, Elsevier, vol. 200(2), pages 536-550, January.
    8. Jinjin Gu & Hui Hu & Lin Wang & Wei Xuan & Yuan Cao, 2020. "Fractional Stochastic Interval Programming for Optimal Low Impact Development Facility Category Selection under Uncertainty," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(5), pages 1567-1587, March.
    9. Jeroen Beliën & Liesje De Boeck & Jonas Van Ackere, 2014. "Municipal Solid Waste Collection and Management Problems: A Literature Review," Transportation Science, INFORMS, vol. 48(1), pages 78-102, February.
    10. Chen, M. J. & Huang, G. H., 2001. "A derivative algorithm for inexact quadratic program - application to environmental decision-making under uncertainty," European Journal of Operational Research, Elsevier, vol. 128(3), pages 570-586, February.

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