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A multi-period model for reorganising urban household waste recycling networks

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  • Zaharudin, Zati Aqmar
  • Brint, Andrew
  • Genovese, Andrea

Abstract

Managing waste is a crucial challenge for modern societies. Within the UK government's ambitious environmental targets, municipal Household Waste Recycling Centres represent key facilities. However, local authority budgets are under severe strain due to reductions in central government funding. Therefore, local councils often need to perform reconfigurations of the recycling centres networks, by reducing the number of sites or their opening hours while still ensuring adequate service levels. This paper describes a novel multi-period mathematical programming model for optimising reorganisational actions within Household Waste Recycling Centre networks. The model is tested on a case study based on an English local authority, in order to demonstrate its applicability to a real-world scenario, and its role in supporting decision-makers in deciding the best way to reorganise Household Waste Recycling Centres.

Suggested Citation

  • Zaharudin, Zati Aqmar & Brint, Andrew & Genovese, Andrea, 2022. "A multi-period model for reorganising urban household waste recycling networks," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    • Handle: RePEc:eee:soceps:v:84:y:2022:i:c:s0038012122001902
    DOI: 10.1016/j.seps.2022.101396
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    as
    1. ReVelle, Charles & Murray, Alan T. & Serra, Daniel, 2007. "Location models for ceding market share and shrinking services," Omega, Elsevier, vol. 35(5), pages 533-540, October.
    2. Boyacı, Burak & Geroliminis, Nikolas, 2015. "Approximation methods for large-scale spatial queueing systems," Transportation Research Part B: Methodological, Elsevier, vol. 74(C), pages 151-181.
    3. VAN ROY, Tony J. & ERLENKOTTER, Donald, 1982. "A dual-based procedure for dynamic facility location," LIDAM Reprints CORE 490, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    4. Mehdi Seifbarghy & Aida Mansouri, 2016. "Modelling and solving a congested facility location problem considering systems' and customers' objectives," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 22(3), pages 281-304.
    5. Silva, Allyson & Aloise, Daniel & Coelho, Leandro C. & Rocha, Caroline, 2021. "Heuristics for the dynamic facility location problem with modular capacities," European Journal of Operational Research, Elsevier, vol. 290(2), pages 435-452.
    6. Bruno, Giuseppe & Diglio, Antonio & Piccolo, Carmela & Cannavacciuolo, Lorella, 2019. "Territorial reorganization of regional blood management systems: Evidences from an Italian case study," Omega, Elsevier, vol. 89(C), pages 54-70.
    7. Vladimir Marianov, 2003. "Location of Multiple-Server Congestible Facilities for Maximizing Expected Demand, when Services are Non-Essential," Annals of Operations Research, Springer, vol. 123(1), pages 125-141, October.
    8. Sonmez, Ayse Durukan & Lim, Gino J., 2012. "A decomposition approach for facility location and relocation problem with uncertain number of future facilities," European Journal of Operational Research, Elsevier, vol. 218(2), pages 327-338.
    9. Corberán, Ángel & Landete, Mercedes & Peiró, Juanjo & Saldanha-da-Gama, Francisco, 2020. "The facility location problem with capacity transfers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).
    10. Alexander Shulman, 1991. "An Algorithm for Solving Dynamic Capacitated Plant Location Problems with Discrete Expansion Sizes," Operations Research, INFORMS, vol. 39(3), pages 423-436, June.
    11. Tony J. Van Roy & Donald Erlenkotter, 1982. "A Dual-Based Procedure for Dynamic Facility Location," Management Science, INFORMS, vol. 28(10), pages 1091-1105, October.
    12. David Innes & Gemma Tetlow, 2015. "Delivering Fiscal Squeeze by Cutting Local Government Spending," Fiscal Studies, Institute for Fiscal Studies, vol. 36, pages 303-325, September.
    13. Giuseppe Bruno & Andrea Genovese, 2012. "A Spatial Interaction Model for the Representation of the Mobility of University Students on the Italian Territory," Networks and Spatial Economics, Springer, vol. 12(1), pages 41-57, March.
    14. Bruno, Giuseppe & Cavola, Manuel & Diglio, Antonio & Piccolo, Carmela, 2020. "Improving spatial accessibility to regional health systems through facility capacity management," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    15. Robert Aboolian & Oded Berman & Vedat Verter, 2016. "Maximal Accessibility Network Design in the Public Sector," Transportation Science, INFORMS, vol. 50(1), pages 336-347, February.
    16. Curran, Anthony & Williams, Ian D. & Heaven, Sonia, 2007. "Management of household bulky waste in England," Resources, Conservation & Recycling, Elsevier, vol. 51(1), pages 78-92.
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