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Optimal Network Design for Municipal Waste Management: Application to the Metropolitan City of Rome

Author

Listed:
  • Marco Boresta

    (Istituto di Analisi dei Sistemi ed Informatica “Antonio Ruberti”, Consiglio Nazionale delle Ricerche, Via dei Taurini 19, 00185 Rome, Italy)

  • Anna Livia Croella

    (Dipartimento di Ingegneria Informatica, Automatica, e Gestionale “A. Ruberti”, Università la Sapienza di Roma, 00185 Rome, Italy)

  • Claudio Gentile

    (Istituto di Analisi dei Sistemi ed Informatica “Antonio Ruberti”, Consiglio Nazionale delle Ricerche, Via dei Taurini 19, 00185 Rome, Italy)

  • Laura Palagi

    (Dipartimento di Ingegneria Informatica, Automatica, e Gestionale “A. Ruberti”, Università la Sapienza di Roma, 00185 Rome, Italy)

  • Diego Maria Pinto

    (Istituto di Analisi dei Sistemi ed Informatica “Antonio Ruberti”, Consiglio Nazionale delle Ricerche, Via dei Taurini 19, 00185 Rome, Italy)

  • Giuseppe Stecca

    (Istituto di Analisi dei Sistemi ed Informatica “Antonio Ruberti”, Consiglio Nazionale delle Ricerche, Via dei Taurini 19, 00185 Rome, Italy)

  • Paolo Ventura

    (Istituto di Analisi dei Sistemi ed Informatica “Antonio Ruberti”, Consiglio Nazionale delle Ricerche, Via dei Taurini 19, 00185 Rome, Italy)

Abstract

Background: This work is part of the regional research project PIPER—Intelligent Platform for the Optimization of Recycling Operations, which aims to develop a network design model for waste collection in the metropolitan city of Rome, Italy. The goal is to enhance the strategic planning of treatment and disposal facilities by incorporating transshipment locations to improve the efficiency of waste collection. The motivation for this study stems from the stringent targets set by the European Green Deal to achieve near-zero emissions and the critical role of waste management in realizing circular economy practices. Methods: The problem is formulated as a mixed integer linear program (MILP) that includes constraints on vehicle allocation to shifts and driver requirements. An additional feature of the model is its ability to account for vehicle maintenance issues when deployed on consecutive shifts. Results: The model was tested against a real-world case study in Rome and demonstrated significant potential savings, with a reduction in total traveled distance exceeding 10%. The mathematical model was also used for evaluating strategic scenarios in a “what-if” analysis, allowing the municipal collection company to assess location options for depots, waste treatment facilities, and transshipment points, as well as to optimize the fleet composition and driver allocation during work shifts. Conclusions: This study presents a robust tool for strategic planning in waste collection operations, highlighting the benefits of using transshipment locations to improve efficiency. The findings indicate substantial potential for cost savings and operational improvements, making the model a valuable asset for municipal waste management planning.

Suggested Citation

  • Marco Boresta & Anna Livia Croella & Claudio Gentile & Laura Palagi & Diego Maria Pinto & Giuseppe Stecca & Paolo Ventura, 2024. "Optimal Network Design for Municipal Waste Management: Application to the Metropolitan City of Rome," Logistics, MDPI, vol. 8(3), pages 1-15, August.
  • Handle: RePEc:gam:jlogis:v:8:y:2024:i:3:p:79-:d:1451336
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    References listed on IDEAS

    as
    1. 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.
    2. Haneen Algethami & Ghada Talat Alhothali, 2023. "Waste Collection Optimisation: A Path to a Green and Sustainable City of Makkah," Logistics, MDPI, vol. 7(3), pages 1-10, August.
    3. Aknur Temireyeva & Khabiba Zhunussova & Madiyar Aidabulov & Christos Venetis & Yerbol Sarbassov & Dhawal Shah, 2022. "Greenhouse Gas Emissions-Based Development and Characterization of Optimal Scenarios for Municipal Solid and Sewage Sludge Waste Management in Astana City," Sustainability, MDPI, vol. 14(23), pages 1-12, November.
    4. Arvind Bhardwaj & Rachit Soni & Lakhwinder Pal Singh & Rahul S Mor, 2023. "A Simulation Approach for Waste Reduction in the Bread Supply Chain," Logistics, MDPI, vol. 7(1), pages 1-13, January.
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