IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v324y2023i1d10.1007_s10479-021-04405-5.html
   My bibliography  Save this article

Robust facility location in reverse logistics

Author

Listed:
  • Péter Egri

    (Institute for Computer Science and Control)

  • Balázs Dávid

    (InnoRenew CoE
    University of Primorska)

  • Tamás Kis

    (Eötvös Loránd Research Network
    Eötvös Loránd University)

  • Miklós Krész

    (InnoRenew CoE
    University of Primorska)

Abstract

As environmental awareness is becoming increasingly important, alternatives are needed for the traditional forward product flows of supply chains. The field of reverse logistics covers activities that aim to recover resources from their final destination, and acts as the foundation of the efficient backward flow of these materials. Designing the appropriate reverse logistics network for a given field is a crucial problem, as this provides the basis for all operations connected to the resource flow. This paper focuses on design questions in the supply network of waste wood, dealing with its collection and transportation to designated processing facilities. The facility location problem is studied for this use-case, and mathematical models are developed that consider economies of scale and the robustness of the problem. A novel approach based on bilevel optimization is used for computing the exact solutions of the robust problem on smaller instances. A local search and a tabu search method is also introduced for solving problems of realistic sizes. The developed models and methods are tested both on real-life and artificial instance sets in order to assess their performance.

Suggested Citation

  • Péter Egri & Balázs Dávid & Tamás Kis & Miklós Krész, 2023. "Robust facility location in reverse logistics," Annals of Operations Research, Springer, vol. 324(1), pages 163-188, May.
    • Handle: RePEc:spr:annopr:v:324:y:2023:i:1:d:10.1007_s10479-021-04405-5
    DOI: 10.1007/s10479-021-04405-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10479-021-04405-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10479-021-04405-5?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. A Dasci & G Laporte, 2005. "An analytical approach to the facility location and capacity acquisition problem under demand uncertainty," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(4), pages 397-405, April.
    2. Verter, Vedat & Cemal Dincer, M., 1992. "An integrated evaluation of facility location, capacity acquisition, and technology selection for designing global manufacturing strategies," European Journal of Operational Research, Elsevier, vol. 60(1), pages 1-18, July.
    3. Nima Kazemi & Nikunja Mohan Modak & Kannan Govindan, 2019. "A review of reverse logistics and closed loop supply chain management studies published in IJPR: a bibliometric and content analysis," International Journal of Production Research, Taylor & Francis Journals, vol. 57(15-16), pages 4937-4960, August.
    4. Nunes, L.J.R. & Causer, T.P. & Ciolkosz, D., 2020. "Biomass for energy: A review on supply chain management models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    5. Dupont, Lionel, 2008. "Branch and bound algorithm for a facility location problem with concave site dependent costs," International Journal of Production Economics, Elsevier, vol. 112(1), pages 245-254, March.
    6. Govindan, Kannan & Soleimani, Hamed & Kannan, Devika, 2015. "Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future," European Journal of Operational Research, Elsevier, vol. 240(3), pages 603-626.
    7. D.X. Shaw, 1999. "A unified limited column generation approach for facility location problems ontrees," Annals of Operations Research, Springer, vol. 87(0), pages 363-382, April.
    8. Cheng, Chun & Adulyasak, Yossiri & Rousseau, Louis-Martin, 2021. "Robust facility location under demand uncertainty and facility disruptions," Omega, Elsevier, vol. 103(C).
    9. Emilio Carrizosa & Stefan Nickel, 2003. "Robust facility location," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 58(2), pages 331-349, November.
    10. Ľuboš Buzna & Michal Koháni & Jaroslav Janáček, 2014. "An Approximation Algorithm for the Facility Location Problem with Lexicographic Minimax Objective," Journal of Applied Mathematics, Hindawi, vol. 2014, pages 1-12, June.
    11. Derya Celik Turkoglu & Mujde Erol Genevois, 2020. "A comparative survey of service facility location problems," Annals of Operations Research, Springer, vol. 292(1), pages 399-468, September.
    Full references (including those not matched with items on IDEAS)

    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. Salehi-Amiri, Amirhossein & Zahedi, Ali & Akbapour, Navid & Hajiaghaei-Keshteli, Mostafa, 2021. "Designing a sustainable closed-loop supply chain network for walnut industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    2. Suzanne, Elodie & Absi, Nabil & Borodin, Valeria, 2020. "Towards circular economy in production planning: Challenges and opportunities," European Journal of Operational Research, Elsevier, vol. 287(1), pages 168-190.
    3. Bricha, Naji & Nourelfath, Mustapha, 2014. "Extra-capacity versus protection for supply networks under attack," Reliability Engineering and System Safety, Elsevier, vol. 131(C), pages 185-196.
    4. Alessio Ishizaka & Sharfuddin Ahmed Khan & Siamak Kheybari & Syed Imran Zaman, 2023. "Supplier selection in closed loop pharma supply chain: a novel BWM–GAIA framework," Annals of Operations Research, Springer, vol. 324(1), pages 13-36, May.
    5. Jakubovskis, Aldis, 2017. "Flexible production resources and capacity utilization rates: A robust optimization perspective," International Journal of Production Economics, Elsevier, vol. 189(C), pages 77-85.
    6. Yigit Kazancoglu & Esra Ekinci & Sachin Kumar Mangla & Muruvvet Deniz Sezer & Yasanur Kayikci, 2021. "Performance evaluation of reverse logistics in food supply chains in a circular economy using system dynamics," Business Strategy and the Environment, Wiley Blackwell, vol. 30(1), pages 71-91, January.
    7. Duong, Quang Huy & Zhou, Li & Meng, Meng & Nguyen, Truong Van & Ieromonachou, Petros & Nguyen, Duy Tiep, 2022. "Understanding product returns: A systematic literature review using machine learning and bibliometric analysis," International Journal of Production Economics, Elsevier, vol. 243(C).
    8. Bricha, Naji & Nourelfath, Mustapha, 2015. "Protection of warehouses and plants under capacity constraint," Reliability Engineering and System Safety, Elsevier, vol. 138(C), pages 93-104.
    9. Alegoz, Mehmet & Karaer, Özgen, 2024. "Compound effect of closing the loop and servitization in supply chains," International Journal of Production Economics, Elsevier, vol. 270(C).
    10. Zheng, Guomeng & Ul Haq, Muhammad Zia & Huo, Baofeng & Zhang, Yanming & Yue, Xiaochen, 2024. "Leveraging intellectual capital for building a supply chain circular economy system: A knowledge-based view," International Journal of Production Economics, Elsevier, vol. 272(C).
    11. Balázs Dávid & Olivér Ősz & Máté Hegyháti, 2021. "Robust Scheduling of Waste Wood Processing Plants with Uncertain Delivery Sources and Quality," Sustainability, MDPI, vol. 13(9), pages 1-17, April.
    12. Linan Zhou & Gengui Zhou & Hangying Li & Jian Cao, 2023. "Channel Selection of Closed-Loop Supply Chain for Scrapped Agricultural Machines Remanufacturing," Sustainability, MDPI, vol. 15(6), pages 1-30, March.
    13. Ge, Houtian & Baker, Quinton J. & Gomez, Miguel I. & Jaromczyk, Jerzy & Yi, Jing, 2022. "Assessing the carbon footprint of fresh produce assembly and distribution in the U.S," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322537, Agricultural and Applied Economics Association.
    14. Basile, Flavia & Pilotti, Lorenzo & Ugolini, Marco & Lozza, Giovanni & Manzolini, Giampaolo, 2022. "Supply chain optimization and GHG emissions in biofuel production from forestry residues in Sweden," Renewable Energy, Elsevier, vol. 196(C), pages 405-421.
    15. Zhiguo Wang & Lufei Huang & Cici Xiao He, 2021. "A multi-objective and multi-period optimization model for urban healthcare waste’s reverse logistics network design," Journal of Combinatorial Optimization, Springer, vol. 42(4), pages 785-812, November.
    16. Patricia van Loon & Luk N. Van Wassenhove & Ales Mihelic, 2022. "Designing a circular business strategy: 7 years of evolution at a large washing machine manufacturer," Business Strategy and the Environment, Wiley Blackwell, vol. 31(3), pages 1030-1041, March.
    17. Ramani, Vinay & De Giovanni, Pietro, 2017. "A two-period model of product cannibalization in an atypical Closed-loop Supply Chain with endogenous returns: The case of DellReconnect," European Journal of Operational Research, Elsevier, vol. 262(3), pages 1009-1027.
    18. Mehmet Talha Dulman & Surendra M. Gupta, 2018. "Evaluation of Maintenance and EOL Operation Performance of Sensor-Embedded Laptops," Logistics, MDPI, vol. 2(1), pages 1-22, January.
    19. Tang, Lianhua & Li, Yantong & Bai, Danyu & Liu, Tao & Coelho, Leandro C., 2022. "Bi-objective optimization for a multi-period COVID-19 vaccination planning problem," Omega, Elsevier, vol. 110(C).
    20. M. Masanta & B. C. Giri, 2022. "A manufacturing–remanufacturing supply chain model with learning and forgetting in inspection under consignment stock agreement," Operational Research, Springer, vol. 22(4), pages 4093-4117, September.

    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:spr:annopr:v:324:y:2023:i:1:d:10.1007_s10479-021-04405-5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.