IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i18p7634-d414278.html
   My bibliography  Save this article

Efficient Allocation of Customers to Facilities in the Multi-Objective Sustainable Location Problem

Author

Listed:
  • Xifeng Tang

    (College of Civil and Transportation Engineering, Hohai University, Nanjing 210098, China)

  • Jiantao Wu

    (College of Civil and Transportation Engineering, Hohai University, Nanjing 210098, China)

  • Rui Li

    (College of Civil and Transportation Engineering, Hohai University, Nanjing 210098, China)

Abstract

This paper aims to evaluate the impact of customer allocation on the facility location in the multi-objective location problem for sustainable logistics. After a new practical multi-objective location model considering vehicle carbon emissions is introduced, the NSGA-II and SEAMO2 algorithms are employed to solve the model. Within the framework of each algorithm, three different allocation rules derived from the optimization of customer allocation based on distance, cost, and emissions are separately applied to perform the customer-to-facility assignment so as to evaluate their impacts. The results of extensive computational experiments show that the allocation rules have nearly no influence on the solution quality, and the allocation rule based on the distance has an absolute advantage of computation time. These findings will greatly help to simplify the location-allocation analysis in the multi-objective location problems.

Suggested Citation

  • Xifeng Tang & Jiantao Wu & Rui Li, 2020. "Efficient Allocation of Customers to Facilities in the Multi-Objective Sustainable Location Problem," Sustainability, MDPI, vol. 12(18), pages 1-12, September.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:18:p:7634-:d:414278
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/18/7634/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/18/7634/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Konak, Abdullah & Coit, David W. & Smith, Alice E., 2006. "Multi-objective optimization using genetic algorithms: A tutorial," Reliability Engineering and System Safety, Elsevier, vol. 91(9), pages 992-1007.
    2. Harris, Irina & Mumford, Christine L. & Naim, Mohamed M., 2014. "A hybrid multi-objective approach to capacitated facility location with flexible store allocation for green logistics modeling," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 66(C), pages 1-22.
    3. Eskandarpour, Majid & Dejax, Pierre & Miemczyk, Joe & Péton, Olivier, 2015. "Sustainable supply chain network design: An optimization-oriented review," Omega, Elsevier, vol. 54(C), pages 11-32.
    4. Paul, Nicholas R. & Lunday, Brian J. & Nurre, Sarah G., 2017. "A multiobjective, maximal conditional covering location problem applied to the relocation of hierarchical emergency response facilities," Omega, Elsevier, vol. 66(PA), pages 147-158.
    5. Current, John & Min, Hokey & Schilling, David, 1990. "Multiobjective analysis of facility location decisions," European Journal of Operational Research, Elsevier, vol. 49(3), pages 295-307, December.
    6. Ortiz-Astorquiza, Camilo & Contreras, Ivan & Laporte, Gilbert, 2018. "Multi-level facility location problems," European Journal of Operational Research, Elsevier, vol. 267(3), pages 791-805.
    7. Mark S. Daskin & Lawrence V. Snyder & Rosemary T. Berger, 2005. "Facility Location in Supply Chain Design," Springer Books, in: André Langevin & Diane Riopel (ed.), Logistics Systems: Design and Optimization, chapter 0, pages 39-65, Springer.
    8. Guanshuang Jiang & Qi Wang & Ke Wang & Qianyu Zhang & Jian Zhou, 2020. "A Novel Closed-Loop Supply Chain Network Design Considering Enterprise Profit and Service Level," Sustainability, MDPI, vol. 12(2), pages 1-21, January.
    9. D. G. Mogale & Naoufel Cheikhrouhou & Manoj Kumar Tiwari, 2020. "Modelling of sustainable food grain supply chain distribution system: a bi-objective approach," International Journal of Production Research, Taylor & Francis Journals, vol. 58(18), pages 5521-5544, September.
    10. James F. Campbell & Morton E. O'Kelly, 2012. "Twenty-Five Years of Hub Location Research," Transportation Science, INFORMS, vol. 46(2), pages 153-169, May.
    11. Demir, Emrah & Bektaş, Tolga & Laporte, Gilbert, 2014. "A review of recent research on green road freight transportation," European Journal of Operational Research, Elsevier, vol. 237(3), pages 775-793.
    12. Canales-Bustos, Linda & Santibañez-González, Ernesto & Candia-Véjar, Alfredo, 2017. "A multi-objective optimization model for the design of an effective decarbonized supply chain in mining," International Journal of Production Economics, Elsevier, vol. 193(C), pages 449-464.
    13. Dukkanci, Okan & Peker, Meltem & Kara, Bahar Y., 2019. "Green hub location problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 116-139.
    14. Owen, Susan Hesse & Daskin, Mark S., 1998. "Strategic facility location: A review," European Journal of Operational Research, Elsevier, vol. 111(3), pages 423-447, December.
    15. Shen, Jiayu, 2020. "An uncertain sustainable supply chain network," Applied Mathematics and Computation, Elsevier, vol. 378(C).
    16. Melo, M.T. & Nickel, S. & Saldanha-da-Gama, F., 2009. "Facility location and supply chain management - A review," European Journal of Operational Research, Elsevier, vol. 196(2), pages 401-412, July.
    17. Gilbert Laporte & Stefan Nickel & Francisco Saldanha Gama, 2015. "Introduction to Location Science," Springer Books, in: Gilbert Laporte & Stefan Nickel & Francisco Saldanha da Gama (ed.), Location Science, edition 127, chapter 0, pages 1-18, Springer.
    18. Mota, Bruna & Gomes, Maria Isabel & Carvalho, Ana & Barbosa-Povoa, Ana Paula, 2018. "Sustainable supply chains: An integrated modeling approach under uncertainty," Omega, Elsevier, vol. 77(C), pages 32-57.
    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. Conrado V. Plaza & Vanessa de A. Guimarães & Glaydston Ribeiro & Laura Bahiense, 2020. "Economic and environmental location of logistics integration centers: the Brazilian soybean transportation case," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(3), pages 749-771, October.
    2. Majid Eskandarpour & Pierre Dejax & Olivier Péton, 2019. "Multi-Directional Local Search for Sustainable Supply Chain Network Design," Post-Print hal-02407741, HAL.
    3. Varsei, Mohsen & Polyakovskiy, Sergey, 2017. "Sustainable supply chain network design: A case of the wine industry in Australia," Omega, Elsevier, vol. 66(PB), pages 236-247.
    4. Ramos Manoel João & Sousa Fragoso Rui Manuel de & Feiden Aldi, 2019. "A Multi-objective Approach for Supply Chain Network Design: Tilapia Pisciculture in Paraná State - Brazil," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 17(1), pages 1-14, May.
    5. Yang, Zhongzhen & Yu, Shunan & Notteboom, Theo, 2016. "Airport location in multiple airport regions (MARs): The role of land and airside accessibility," Journal of Transport Geography, Elsevier, vol. 52(C), pages 98-110.
    6. Mrabti, Nassim & Hamani, Nadia & Boulaksil, Youssef & Amine Gargouri, Mohamed & Delahoche, Laurent, 2022. "A multi-objective optimization model for the problems of sustainable collaborative hub location and cost sharing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    7. Gustavo Rodrigues de Morais & Yuri Clements Daglia Calil & Gabriel Faria de Oliveira & Rodney Rezende Saldanha & Carlos Andrey Maia, 2023. "A Sustainable Location Model of Transshipment Terminals Applied to the Expansion Strategies of the Soybean Intermodal Transport Network in the State of Mato Grosso, Brazil," Sustainability, MDPI, vol. 15(2), pages 1-27, January.
    8. Camilo Ortiz-Astorquiza & Ivan Contreras & Gilbert Laporte, 2019. "An Exact Algorithm for Multilevel Uncapacitated Facility Location," Transportation Science, INFORMS, vol. 53(4), pages 1085-1106, July.
    9. Gilani, Hani & Sahebi, Hadi, 2022. "A data-driven robust optimization model by cutting hyperplanes on vaccine access uncertainty in COVID-19 vaccine supply chain," Omega, Elsevier, vol. 110(C).
    10. Van Engeland, Jens & Beliën, Jeroen & De Boeck, Liesje & De Jaeger, Simon, 2020. "Literature review: Strategic network optimization models in waste reverse supply chains," Omega, Elsevier, vol. 91(C).
    11. Jimenez, Charlotte & Dauzère-Pérès, Stéphane & Feuillebois, Christian & Pauly, Eric, 2013. "Optimizing the positioning and technological choices of RFID elements for aircraft part identification," European Journal of Operational Research, Elsevier, vol. 227(2), pages 350-357.
    12. Ashu Kedia & Diana Kusumastuti & Alan Nicholson, 2019. "Establishing Collection and Delivery Points to Encourage the Use of Active Transport: A Case Study in New Zealand Using a Consumer-Centric Approach," Sustainability, MDPI, vol. 11(22), pages 1-23, November.
    13. Becker, Tristan & Wolff, Michael & Linzenich, Anika & Engelmann, Linda & Arning, Katrin & Ziefle, Martina & Walther, Grit, 2024. "An integrated bi-objective optimization model accounting for the social acceptance of renewable fuel production networks," European Journal of Operational Research, Elsevier, vol. 315(1), pages 354-367.
    14. Esmizadeh, Yalda & Bashiri, Mahdi & Jahani, Hamed & Almada-Lobo, Bernardo, 2021. "Cold chain management in hierarchical operational hub networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 147(C).
    15. Kidd, Martin P. & Darvish, Maryam & Coelho, Leandro C. & Gendron, Bernard, 2024. "A relax-and-restrict matheuristic for supply chain network design with facility location and customer due date flexibility," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 182(C).
    16. Hammad, Ahmed W A & Akbarnezhad, Ali & Rey, David, 2017. "Sustainable urban facility location: Minimising noise pollution and network congestion," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 107(C), pages 38-59.
    17. Guazzelli, Cauê Sauter & Cunha, Claudio B., 2018. "Exploring K-best solutions to enrich network design decision-making," Omega, Elsevier, vol. 78(C), pages 139-164.
    18. Sprenger, Philipp & Parlings, Matthias & Hegmanns, Tobias, 2014. "Planning Approach for Robust Manufacturing Footprint Decisions," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Next Generation Supply Chains: Trends and Opportunities. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 18, volume 18, pages 29-50, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    19. Saldanha-da-Gama, Francisco, 2022. "Facility Location in Logistics and Transportation: An enduring relationship," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).
    20. Farahani, Reza Zanjirani & Fallah, Samira & Ruiz, Rubén & Hosseini, Sara & Asgari, Nasrin, 2019. "OR models in urban service facility location: A critical review of applications and future developments," European Journal of Operational Research, Elsevier, vol. 276(1), pages 1-27.

    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:gam:jsusta:v:12:y:2020:i:18:p:7634-:d:414278. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.