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A bi-objective model for the location of landfills for municipal solid waste

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  • Eiselt, H.A.
  • Marianov, Vladimir

Abstract

This paper models the locations of landfills and transfer stations and simultaneously determines the sizes of the landfills that are to be established. The model is formulated as a bi-objective mixed integer optimization problem, in which one objective is the usual cost-minimization, while the other minimizes pollution. As a matter of fact, pollution is dealt with a two-pronged approach: on the one hand, the model includes constraints that enforce legislated limits on pollution, while one of the objective functions attempts to minimize pollution effects, even though solutions may formally satisfy the letter of the law. The model is formulated and solved for the data of a region in Chile. Computational results for a variety of parameter choices are provided. These results are expected to aid decision makers in the choice of excluding and choosing sites for solid waste facilities.

Suggested Citation

  • Eiselt, H.A. & Marianov, Vladimir, 2014. "A bi-objective model for the location of landfills for municipal solid waste," European Journal of Operational Research, Elsevier, vol. 235(1), pages 187-194.
  • Handle: RePEc:eee:ejores:v:235:y:2014:i:1:p:187-194
    DOI: 10.1016/j.ejor.2013.10.005
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    1. Francisco André & Francisco Velasco & Luis Gonzalez-Abril, 2009. "Intertemporal and spatial location of disposal facilities," Spanish Economic Review, Springer;Spanish Economic Association, vol. 11(1), pages 23-49, March.
    2. Lahdelma, Risto & Salminen, Pekka & Hokkanen, Joonas, 2002. "Locating a waste treatment facility by using stochastic multicriteria acceptability analysis with ordinal criteria," European Journal of Operational Research, Elsevier, vol. 142(2), pages 345-356, October.
    3. Erkut, Erhan & Neuman, Susan, 1989. "Analytical models for locating undesirable facilities," European Journal of Operational Research, Elsevier, vol. 40(3), pages 275-291, June.
    4. Özlen, Melih & Azizoglu, Meral, 2009. "Multi-objective integer programming: A general approach for generating all non-dominated solutions," European Journal of Operational Research, Elsevier, vol. 199(1), pages 25-35, November.
    5. Gottinger, Hans W., 1988. "A computational model for solid waste management with application," European Journal of Operational Research, Elsevier, vol. 35(3), pages 350-364, June.
    6. Coutinho-Rodrigues, João & Tralhão, Lino & Alçada-Almeida, Luís, 2012. "A bi-objective modeling approach applied to an urban semi-desirable facility location problem," European Journal of Operational Research, Elsevier, vol. 223(1), pages 203-213.
    7. Richard L. Church & Robert S. Garfinkel, 1978. "Locating an Obnoxious Facility on a Network," Transportation Science, INFORMS, vol. 12(2), pages 107-118, May.
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    Cited by:

    1. Mariano Gallo, 2019. "An Optimisation Model to Consider the NIMBY Syndrome within the Landfill Siting Problem," Sustainability, MDPI, vol. 11(14), pages 1-18, July.
    2. Jing Liang & Ming Liu, 2018. "Network Design for Municipal Solid Waste Collection: A Case Study of the Nanjing Jiangbei New Area," IJERPH, MDPI, vol. 15(12), pages 1-15, December.
    3. Sandra L. Cobos-Mora & José Guamán-Aucapiña & Jonathan Zúñiga-Ruiz, 2023. "Suitable site selection for transfer stations in a solid waste management system using analytical hierarchy process as a multi-criteria decision analysis: a case study in Azuay-Ecuador," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(2), pages 1944-1977, February.
    4. Amin Akbari & Ronald Pelot & H. A. Eiselt, 2018. "A modular capacitated multi-objective model for locating maritime search and rescue vessels," Annals of Operations Research, Springer, vol. 267(1), pages 3-28, August.
    5. Jie Xiong & Shuming Wang & Tsan Sheng Ng, 2021. "Robust Bilevel Resource Recovery Planning," Production and Operations Management, Production and Operations Management Society, vol. 30(9), pages 2962-2992, September.
    6. Kwag, Sung Il & Ko, Young Dae, 2019. "Optimal design for the Halal food logistics network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 212-228.
    7. Hamilton, Timothy L. & Eynan, Amit, 2023. "Siting noxious facilities: Efficiency and majority rule decisions," European Journal of Operational Research, Elsevier, vol. 308(3), pages 1344-1354.
    8. Dolores R. Santos-Peñate & Rafael R. Suárez-Vega & Carmen Florido de la Nuez, 2023. "A Location-allocation Model for Bio-waste Management in the Hospitality Sector," Networks and Spatial Economics, Springer, vol. 23(3), pages 611-639, September.
    9. Bisera Andrić Gušavac & Selman Karagoz & Milena Popović & Dragan Pamućar & Muhammet Deveci, 2023. "Reconcilement of conflicting goals: a novel operations research-based methodology for environmental management," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 7423-7460, August.
    10. 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.
    11. Hao Yu & Wei Deng Solvang, 2017. "A multi-objective location-allocation optimization for sustainable management of municipal solid waste," Environment Systems and Decisions, Springer, vol. 37(3), pages 289-308, September.
    12. Feng Dai & Yi Chen, 2023. "Integrated dynamic municipal solid waste transfer station location decision study based on the dynamic MSW generation," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6033-6047, July.
    13. I. Kaliszewski & J. Miroforidis, 2022. "Probing the Pareto front of a large-scale multiobjective problem with a MIP solver," Operational Research, Springer, vol. 22(5), pages 5617-5673, November.
    14. Barbati, Maria & Corrente, Salvatore & Greco, Salvatore, 2020. "A general space-time model for combinatorial optimization problems (and not only)," Omega, Elsevier, vol. 96(C).
    15. Dušan Hrabec & Jakub Kůdela & Radovan Šomplák & Vlastimír Nevrlý & Pavel Popela, 2020. "Circular economy implementation in waste management network design problem: a case study," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(4), pages 1441-1458, December.

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