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Waste Collection in Urban Areas: A Case Study

Author

Listed:
  • Edoardo Fadda

    (Politecnico di Torino, 10129 Torino, Italy)

  • Luca Gobbato

    (Politecnico di Torino, 10129 Torino, Italy)

  • Guido Perboli

    (Politecnico di Torino, 10129 Torino, Italy)

  • Mariangela Rosano

    (Politecnico di Torino, 10129 Torino, Italy)

  • Roberto Tadei

    (Politecnico di Torino, 10129 Torino, Italy)

Abstract

The Optimization for Networked Data in Environmental Urban Waste Collection (ONDE-UWC) project is, to the best of our knowledge, the first attempt to apply the Internet of Things (IoT) paradigm to the field of waste collection. Sensors installed in dumpsters and garbage trucks share data, such as weight measurements and the number of user accesses. In this study, we schedule the weekly waste-collection activities for multiple types of waste without imposing periodic routes. An important characteristic of this project is that we consider heterogeneous stakeholders with different backgrounds and knowledge. In this context, we apply the GUEST OR methodology, highlighting how it can support the decision-making process to reduce the effects of these differences. As a result, we reduced the time required to implement the solution, increased operational efficiency, and achieved cost savings.

Suggested Citation

  • Edoardo Fadda & Luca Gobbato & Guido Perboli & Mariangela Rosano & Roberto Tadei, 2018. "Waste Collection in Urban Areas: A Case Study," Interfaces, INFORMS, vol. 48(4), pages 307-322, August.
  • Handle: RePEc:inm:orinte:v:48:y:2018:i:4:p:307-322
    DOI: 10.1287/inte.2018.0943
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    1. David Applegate & William Cook & André Rohe, 2003. "Chained Lin-Kernighan for Large Traveling Salesman Problems," INFORMS Journal on Computing, INFORMS, vol. 15(1), pages 82-92, February.
    2. Vera C. Hemmelmayr & Karl F. Doerner & Richard F. Hartl & Daniele Vigo, 2014. "Models and Algorithms for the Integrated Planning of Bin Allocation and Vehicle Routing in Solid Waste Management," Transportation Science, INFORMS, vol. 48(1), pages 103-120, February.
    3. Surya Sahoo & Seongbae Kim & Byung-In Kim & Bob Kraas & Alexander Popov, 2005. "Routing Optimization for Waste Management," Interfaces, INFORMS, vol. 35(1), pages 24-36, February.
    4. Chu, Feng & Labadi, Nacima & Prins, Christian, 2006. "A Scatter Search for the periodic capacitated arc routing problem," European Journal of Operational Research, Elsevier, vol. 169(2), pages 586-605, March.
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    Cited by:

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    4. Bruno P. Bruck & Filippo Castegini & Jean-François Cordeau & Manuel Iori & Tommaso Poncemi & Dario Vezzali, 2020. "A Decision Support System for Attended Home Services," Interfaces, INFORMS, vol. 50(2), pages 137-152, March.
    5. Toni Greif & Nikolai Stein & Christoph M. Flath, 2023. "Information Value Analysis for Real-Time Silo Fill-Level Monitoring," Interfaces, INFORMS, vol. 53(4), pages 283-294, July.
    6. Erfan Ghorbani & Mahdi Alinaghian & Gevork. B. Gharehpetian & Sajad Mohammadi & Guido Perboli, 2020. "A Survey on Environmentally Friendly Vehicle Routing Problem and a Proposal of Its Classification," Sustainability, MDPI, vol. 12(21), pages 1-71, October.
    7. 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.
    8. Riccardo Giusti & Chiara Iorfida & Yuanyuan Li & Daniele Manerba & Stefano Musso & Guido Perboli & Roberto Tadei & Shuai Yuan, 2019. "Sustainable and De-Stressed International Supply-Chains Through the SYNCHRO-NET Approach," Sustainability, MDPI, vol. 11(4), pages 1-26, February.
    9. Fadda, Edoardo & Manerba, Daniele & Cabodi, Gianpiero & Camurati, Paolo Enrico & Tadei, Roberto, 2021. "Comparative analysis of models and performance indicators for optimal service facility location," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).

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