IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i24p16409-d997005.html
   My bibliography  Save this article

Location Selection for Regional Logistics Center Based on Particle Swarm Optimization

Author

Listed:
  • Yingyi Huang

    (School of Business, Ningbo Tech University, Ningbo 315104, China
    School of Business, Quanzhou Normal University, Quanzhou 362046, China)

  • Xinyu Wang

    (School of Business, Quanzhou Normal University, Quanzhou 362046, China
    School of Logistics Management & Engineering, Nanning Normal University, Nanning 530011, China)

  • Hongyan Chen

    (School of Economics & Management, Quanzhou University of Information Engineering, Quanzhou 362046, China)

Abstract

The location of a logistics center is very important in a logistics system, as the success of the location determines the whole logistics system’s structure, shape, and mode, and not only affects the logistics center’s own operating costs, performance, and future development, but also affects the operation of the entire logistics system. Therefore, the selection of the location for a logistics center has great significance for improving the efficiency of regional logistics and optimizing the structure of a logistics system. This study constructed a multi-factor constrained P-median site-selection model to optimize the locations of logistics centers to improve the efficiency of logistics and optimize the structure of the logistics system in a region. The results show that the optimal distribution of logistics center sites and the coverage of freight capacity demand derived from the particle swarm algorithm are more balanced than those derived by the other algorithm. Following the comparison of the results for the utility of the optimized layout points solved by the particle swarm algorithm and the immune genetic algorithm, it is concluded that the optimal fitness value obtained by the particle swarm algorithm is lower than the other. It is proven that the particle swarm algorithm of the P-median site-selection model under this multi-factor constraint has some reference value for the selection of the sites of multi-logistics centers.

Suggested Citation

  • Yingyi Huang & Xinyu Wang & Hongyan Chen, 2022. "Location Selection for Regional Logistics Center Based on Particle Swarm Optimization," Sustainability, MDPI, vol. 14(24), pages 1-10, December.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:24:p:16409-:d:997005
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/24/16409/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/24/16409/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kyosang Hwang & Tooba Binte Asif & Taesik Lee, 2022. "Choice-driven location-allocation model for healthcare facility location problem," Flexible Services and Manufacturing Journal, Springer, vol. 34(4), pages 1040-1065, December.
    2. Cheng, Chun & Adulyasak, Yossiri & Rousseau, Louis-Martin, 2021. "Robust facility location under demand uncertainty and facility disruptions," Omega, Elsevier, vol. 103(C).
    3. Ateekh Ur Rehman & Mustufa Haider Abidi & Usama Umer & Yusuf Siraj Usmani, 2019. "Multi-Criteria Decision-Making Approach for Selecting Wind Energy Power Plant Locations," Sustainability, MDPI, vol. 11(21), pages 1-20, November.
    4. Sophie N. Parragh & Fabien Tricoire & Walter J. Gutjahr, 2022. "A branch-and-Benders-cut algorithm for a bi-objective stochastic facility location problem," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(2), pages 419-459, June.
    5. Corberán, Ángel & Landete, Mercedes & Peiró, Juanjo & Saldanha-da-Gama, Francisco, 2020. "The facility location problem with capacity transfers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).
    6. Rui Chi & Yixin Su & Zhijian Qu & Xuexin Chi, 2019. "A Hybridization of Cuckoo Search and Differential Evolution for the Logistics Distribution Center Location Problem," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-16, February.
    7. Hongzhi Wang & Haojie Ran & Xiaohong Dang, 2022. "Location Optimization of Fresh Agricultural Products Cold Chain Distribution Center under Carbon Emission Constraints," Sustainability, MDPI, vol. 14(11), pages 1-24, May.
    8. Wu, Tao & Huang, Le & Liang, Zhe & Zhang, Xiaoning & Zhang, Canrong, 2022. "A supervised learning-driven heuristic for solving the facility location and production planning problem," European Journal of Operational Research, Elsevier, vol. 301(2), pages 785-796.
    9. Carrasco Heine, Oscar F. & Demleitner, Antonia & Matuschke, Jannik, 2023. "Bifactor approximation for location routing with vehicle and facility capacities," European Journal of Operational Research, Elsevier, vol. 304(2), pages 429-442.
    10. Aziz, Haris & Chan, Hau & Lee, Barton E. & Parkes, David C., 2020. "The capacity constrained facility location problem," Games and Economic Behavior, Elsevier, vol. 124(C), pages 478-490.
    11. Weiqiao Wang & Kai Yang & Lixing Yang & Ziyou Gao, 2022. "Tractable approximations for the distributionally robust conditional vertex p-center problem: Application to the location of high-speed railway emergency rescue stations," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 73(3), pages 525-539, March.
    12. Murray, Alan T. & Church, Richard L. & Feng, Xin, 2020. "Single facility siting involving allocation decisions," European Journal of Operational Research, Elsevier, vol. 284(3), pages 834-846.
    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. Huizhu Wang & Jianqin Zhou, 2023. "Location of Railway Emergency Rescue Spots Based on a Near-Full Covering Problem: From a Perspective of Diverse Scenarios," Sustainability, MDPI, vol. 15(8), pages 1-16, April.
    2. 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).
    3. Jiwon Baik & Alan T. Murray, 2022. "Locating a facility to simultaneously address access and coverage goals," Papers in Regional Science, Wiley Blackwell, vol. 101(5), pages 1199-1217, October.
    4. Sadeghi, Mohammad & Yaghoubi, Saeed, 2024. "Optimization models for cloud seeding network design and operations," European Journal of Operational Research, Elsevier, vol. 312(3), pages 1146-1167.
    5. Nima Mirzaei, 2022. "A Multicriteria Decision Framework for Solar Power Plant Location Selection Problem with Pythagorean Fuzzy Data: A Case Study on Green Energy in Turkey," Sustainability, MDPI, vol. 14(22), pages 1-18, November.
    6. Laura Montalbán-Domingo & Madeleine Aguilar-Morocho & Tatiana García-Segura & Eugenio Pellicer, 2020. "Study of Social and Environmental Needs for the Selection of Sustainable Criteria in the Procurement of Public Works," Sustainability, MDPI, vol. 12(18), pages 1-21, September.
    7. Bartłomiej Kizielewicz & Jarosław Wątróbski & Wojciech Sałabun, 2020. "Identification of Relevant Criteria Set in the MCDA Process—Wind Farm Location Case Study," Energies, MDPI, vol. 13(24), pages 1-40, December.
    8. Mariana de Oliveira Lage & Cláudia Aparecida Soares Machado & Cristiano Martins Monteiro & Clodoveu Augusto Davis & Charles Lincoln Kenji Yamamura & Fernando Tobal Berssaneti & José Alberto Quintanilh, 2021. "Using Hierarchical Facility Location, Single Facility Approach, and GIS in Carsharing Services," Sustainability, MDPI, vol. 13(22), pages 1-13, November.
    9. Liu, Ming & Ding, Yueyu & Chu, Feng & Dolgui, Alexandre & Zheng, Feifeng, 2024. "Robust actions for improving supply chain resilience and viability," Omega, Elsevier, vol. 123(C).
    10. Barbato, Michele & Ceselli, Alberto & Premoli, Marco, 2023. "On the impact of resource relocation in facing health emergencies," European Journal of Operational Research, Elsevier, vol. 308(1), pages 422-435.
    11. Vasiliki Vita & Georgios Fotis & Christos Pavlatos & Valeri Mladenov, 2023. "A New Restoration Strategy in Microgrids after a Blackout with Priority in Critical Loads," Sustainability, MDPI, vol. 15(3), pages 1-21, January.
    12. Borumand, Ali & Marandi, Ahmadreza & Nookabadi, Ali S. & Atan, Zümbül, 2024. "An oracle-based algorithm for robust planning of production routing problems in closed-loop supply chains of beverage glass bottles," Omega, Elsevier, vol. 122(C).
    13. Abdolreza Roshani & Philip Walker-Davies & Glenn Parry, 2024. "Designing resilient supply chain networks: a systematic literature review of mitigation strategies," Annals of Operations Research, Springer, vol. 341(2), pages 1267-1332, October.
    14. Yin, Yunqiang & Xu, Xinrui & Wang, Dujuan & Yu, Yugang & Cheng, T.C.E., 2024. "Two-stage recoverable robust optimization for an integrated location–allocation and evacuation planning problem," Transportation Research Part B: Methodological, Elsevier, vol. 182(C).
    15. Kangye Tan & Yihui Tian & Fang Xu & Chunsheng Li, 2023. "Research on Multi-Objective Optimal Scheduling for Power Battery Reverse Supply Chain," Mathematics, MDPI, vol. 11(4), pages 1-26, February.
    16. Ayough, Ashkan & Boshruei, Setareh & Khorshidvand, Behrooz, 2022. "A new interactive method based on multi-criteria preference degree functions for solar power plant site selection," Renewable Energy, Elsevier, vol. 195(C), pages 1165-1173.
    17. Haris Aziz & Alexander Lam & Barton E. Lee & Toby Walsh, 2021. "Strategyproof and Proportionally Fair Facility Location," Papers 2111.01566, arXiv.org, revised Nov 2023.
    18. Schultz, Michael & Soolaki, Majid & Salari, Mostafa & Bakhshian, Elnaz, 2023. "A combined optimization–simulation approach for modified outside-in boarding under COVID-19 regulations including limited baggage compartment capacities," Journal of Air Transport Management, Elsevier, vol. 106(C).
    19. Zhao, Xian & Lv, Zuheng & Qiu, Qingan & Wu, Yaguang, 2023. "Designing two-level rescue depot location and dynamic rescue policies for unmanned vehicles," Reliability Engineering and System Safety, Elsevier, vol. 233(C).
    20. Andréa Camila dos Santos Martins & Antonio Roberto Balbo & Dylan Jones & Leonardo Nepomuceno & Edilaine Martins Soler & Edméa Cássia Baptista, 2020. "A Hybrid Multi-Criteria Methodology for Solving the Sustainable Dispatch Problem," Sustainability, MDPI, vol. 12(17), pages 1-20, August.

    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:14:y:2022:i:24:p:16409-:d:997005. 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.