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Mathematical modelling and heuristic approaches to the location-routing problem of a cost-effective integrated solid waste management

Author

Listed:
  • H. Asefi

    (The University of New South Wales)

  • S. Lim

    (The University of New South Wales)

  • M. Maghrebi

    (The University of New South Wales
    Ferdowsi University of Mashhad)

  • S. Shahparvari

    (RMIT University)

Abstract

Integrated solid waste management (ISWM) comprises activities and processes to collect, transport, treat, recycle and dispose municipal solid wastes. This paper addresses the ISWM location-routing problem in which different types of municipal solid wastes are factored concurrently into an integrated system with all interrelated facilities. To support a cost-effective ISWM system, the number of locations of the system’s components (i.e. transfer stations; recycling, treatment and disposal centres) and truck routing within the system’s components need to be optimized. A mixed-integer linear programming (MILP) model is presented to minimise the total cost of the ISWM system including transportation costs and facility establishment costs. To tackle the non-deterministic polynomial-time hardness of the problem, a stepwise heuristic method is proposed within the frames of two meta-heuristic approaches: (i) variable neighbourhood search (VNS) and (ii) a hybrid VNS and simulated annealing algorithm (VNS + SA). A real-life case study from an existing ISWM system in Tehran, Iran is utilized to apply the proposed model and algorithms. Then the presented MILP model is implemented in CPLEX environment to evaluate the effectiveness of the proposed algorithms for multiple test problems in different scales. The results show that, while both proposed algorithms can effectively solve the problem within practical computing time, the proposed hybrid method efficiently has produced near-optimal solutions with gaps of

Suggested Citation

  • H. Asefi & S. Lim & M. Maghrebi & S. Shahparvari, 2019. "Mathematical modelling and heuristic approaches to the location-routing problem of a cost-effective integrated solid waste management," Annals of Operations Research, Springer, vol. 273(1), pages 75-110, February.
    • Handle: RePEc:spr:annopr:v:273:y:2019:i:1:d:10.1007_s10479-018-2912-1
    DOI: 10.1007/s10479-018-2912-1
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    References listed on IDEAS

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    1. Eiselt, H.A., 2007. "Locating landfills--Optimization vs. reality," European Journal of Operational Research, Elsevier, vol. 179(3), pages 1040-1049, June.
    2. Pierre Hansen & Nenad Mladenović & José Moreno Pérez, 2010. "Variable neighbourhood search: methods and applications," Annals of Operations Research, Springer, vol. 175(1), pages 367-407, March.
    3. Omid Boyer & Tang Sai Hong & Ali Pedram & Rosnah Bt Mohd Yusuff & Norzima Zulkifli, 2013. "A Mathematical Model for the Industrial Hazardous Waste Location-Routing Problem," Journal of Applied Mathematics, Hindawi, vol. 2013, pages 1-10, December.
    4. Abdelkader Sbihi & Richard Eglese, 2010. "Combinatorial optimization and Green Logistics," Annals of Operations Research, Springer, vol. 175(1), pages 159-175, March.
    5. Lin, C.K.Y. & Kwok, R.C.W., 2006. "Multi-objective metaheuristics for a location-routing problem with multiple use of vehicles on real data and simulated data," European Journal of Operational Research, Elsevier, vol. 175(3), pages 1833-1849, December.
    6. Erkut, Erhan & Karagiannidis, Avraam & Perkoulidis, George & Tjandra, Stevanus A., 2008. "A multicriteria facility location model for municipal solid waste management in North Greece," European Journal of Operational Research, Elsevier, vol. 187(3), pages 1402-1421, June.
    7. Samanlioglu, Funda, 2013. "A multi-objective mathematical model for the industrial hazardous waste location-routing problem," European Journal of Operational Research, Elsevier, vol. 226(2), pages 332-340.
    8. Hossein Asefi & Samsung Lim & Mojtaba Maghrebi, 2017. "Adaptation of simulated annealing to an integrated municipal solid waste location-routing problem," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 28(2), pages 127-143.
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    Cited by:

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    2. Arthur Mahéo & Diego Gabriel Rossit & Philip Kilby, 2023. "Solving the integrated bin allocation and collection routing problem for municipal solid waste: a Benders decomposition approach," Annals of Operations Research, Springer, vol. 322(1), pages 441-465, March.
    3. Tran, Trung Hieu & Nguyen, Thu Ba T. & Le, Hoa Sen T. & Phung, Duc Chinh, 2024. "Formulation and solution technique for agricultural waste collection and transport network design," European Journal of Operational Research, Elsevier, vol. 313(3), pages 1152-1169.
    4. Wang, Yong & Peng, Shouguo & Zhou, Xuesong & Mahmoudi, Monirehalsadat & Zhen, Lu, 2020. "Green logistics location-routing problem with eco-packages," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 143(C).
    5. Chun-lin Xin & Shuo Liang & Feng-wu Shen, 2022. "Reconfiguration of garbage collection system based on Voronoi graph theory: a simulation case of Beijing region," Journal of Combinatorial Optimization, Springer, vol. 43(5), pages 953-973, July.
    6. Ondrej Stopka & Maria Stopkova & Rudolf Kampf, 2019. "Application of the Operational Research Method to Determine the Optimum Transport Collection Cycle of Municipal Waste in a Predesignated Urban Area," Sustainability, MDPI, vol. 11(8), pages 1-15, April.
    7. Chun-lin Xin & Shuo Liang & Feng-wu Shen, 0. "Reconfiguration of garbage collection system based on Voronoi graph theory: a simulation case of Beijing region," Journal of Combinatorial Optimization, Springer, vol. 0, pages 1-21.
    8. Ali Ebadi Torkayesh & Hadi Rezaei Vandchali & Erfan Babaee Tirkolaee, 2021. "Multi-Objective Optimization for Healthcare Waste Management Network Design with Sustainability Perspective," Sustainability, MDPI, vol. 13(15), pages 1-17, July.
    9. Chunlin Xin & Jie Wang & Ziping Wang & Chia-Huei Wu & Muhammad Nawaz & Sang-Bing Tsai, 2022. "Reverse logistics research of municipal hazardous waste: a literature review," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 1495-1531, February.
    10. Amin Aghalari & Darweesh Ehssan Salamah & Carlos Marino & Mohammad Marufuzzaman, 2023. "Electric vehicles fast charger location-routing problem under ambient temperature," Annals of Operations Research, Springer, vol. 324(1), pages 721-759, May.

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