IDEAS home Printed from https://ideas.repec.org/a/inm/orinte/v48y2018i4p307-322.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://doi.org/10.1287/inte.2018.0943
    Download Restriction: no
    File URL: https://libkey.io/10.1287/inte.2018.0943?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Michela Apruzzese & Maria Elena Bruni & Stefano Musso & Guido Perboli, 2023. "5G and Companion Technologies as a Boost in New Business Models for Logistics and Supply Chain," Sustainability, MDPI, vol. 15(15), pages 1-17, August.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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).
    7. Haimonti Dutta, 2022. "A Consensus Algorithm for Linear Support Vector Machines," Management Science, INFORMS, vol. 68(5), pages 3703-3725, May.
    8. Edoardo Fadda & Guido Perboli & Mariangela Rosano & Julien Etienne Mascolo & Davide Masera, 2022. "A Decision Support System for Supporting Strategic Production Allocation in the Automotive Industry," Sustainability, MDPI, vol. 14(4), pages 1-21, February.
    9. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Abdelkader Sbihi & Richard Eglese, 2010. "Combinatorial optimization and Green Logistics," Annals of Operations Research, Springer, vol. 175(1), pages 159-175, March.
    2. Markov, Iliya & Varone, Sacha & Bierlaire, Michel, 2016. "Integrating a heterogeneous fixed fleet and a flexible assignment of destination depots in the waste collection VRP with intermediate facilities," Transportation Research Part B: Methodological, Elsevier, vol. 84(C), pages 256-273.
    3. Lin, Hung-Yueh & Chen, Guan-Hwa & Lee, Pei-Hao & Lin, Chun-Hsu, 2010. "An interactive optimization system for the location of supplementary recycling depots," Resources, Conservation & Recycling, Elsevier, vol. 54(10), pages 615-622.
    4. Israel D. Herrera-Granda & Jaime Cadena-Echeverría & Juan C. León-Jácome & Erick P. Herrera-Granda & Danilo Chavez Garcia & Andrés Rosales, 2024. "A Heuristic Procedure for Improving the Routing of Urban Waste Collection Vehicles Using ArcGIS," Sustainability, MDPI, vol. 16(13), pages 1-23, July.
    5. Pearce, Joshua M. & Johnson, Sara J. & Grant, Gabriel B., 2007. "3D-mapping optimization of embodied energy of transportation," Resources, Conservation & Recycling, Elsevier, vol. 51(2), pages 435-453.
    6. Benavent, Enrique & Corberán, Ángel & Laganà, Demetrio & Vocaturo, Francesca, 2019. "The periodic rural postman problem with irregular services on mixed graphs," European Journal of Operational Research, Elsevier, vol. 276(3), pages 826-839.
    7. Han, Jialin & Zhang, Jiaxiang & Guo, Haoyue & Zhang, Ning, 2024. "Optimizing location-routing and demand allocation in the household waste collection system using a branch-and-price algorithm," European Journal of Operational Research, Elsevier, vol. 316(3), pages 958-975.
    8. 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.
    9. Vincent F. Yu & Panca Jodiawan & Shih-Wei Lin & Winy Fara Nadira & Anna Maria Sri Asih & Le Nguyen Hoang Vinh, 2024. "Using Simulated Annealing to Solve the Multi-Depot Waste Collection Vehicle Routing Problem with Time Window and Self-Delivery Option," Mathematics, MDPI, vol. 12(3), pages 1-22, February.
    10. Benjamin T. Hazen & Joseph B. Skipper & Christopher A. Boone & Raymond R. Hill, 2018. "Back in business: operations research in support of big data analytics for operations and supply chain management," Annals of Operations Research, Springer, vol. 270(1), pages 201-211, November.
    11. Qing Li & Xiaoli Wu & Ki Ling Cheung, 2009. "Optimal Policies for Inventory Systems with Separate Delivery-Request and Order-Quantity Decisions," Operations Research, INFORMS, vol. 57(3), pages 626-636, June.
    12. Gläser, Sina, 2022. "A waste collection problem with service type option," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1216-1230.
    13. Fatih Rahim & Canan Sepil, 2014. "A location-routing problem in glass recycling," Annals of Operations Research, Springer, vol. 223(1), pages 329-353, December.
    14. Taillard, Éric D., 2022. "A linearithmic heuristic for the travelling salesman problem," European Journal of Operational Research, Elsevier, vol. 297(2), pages 442-450.
    15. Andrzej Jaszkiewicz & Thibaut Lust, 2017. "Proper balance between search towards and along Pareto front: biobjective TSP case study," Annals of Operations Research, Springer, vol. 254(1), pages 111-130, July.
    16. Haoqing Wang & Wen Yi & Yannick Liu, 2022. "Optimal Route Design for Construction Waste Transportation Systems: Mathematical Models and Solution Algorithms," Mathematics, MDPI, vol. 10(22), pages 1-13, November.
    17. Gläser, Sina & Stücken, Mareike, 2021. "Introduction of an underground waste container system–model and solution approaches," European Journal of Operational Research, Elsevier, vol. 295(2), pages 675-689.
    18. Yi Chen & Feng Dai & Mengjuan Cao, 2021. "An optimized MSW transfer station location system based on internet of things," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(4), pages 675-688, August.
    19. Peter Reiter & Walter Gutjahr, 2012. "Exact hybrid algorithms for solving a bi-objective vehicle routing problem," 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. 20(1), pages 19-43, March.
    20. Taillard, Éric D. & Helsgaun, Keld, 2019. "POPMUSIC for the travelling salesman problem," European Journal of Operational Research, Elsevier, vol. 272(2), pages 420-429.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:orinte:v:48:y:2018:i:4:p:307-322. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.