lynx   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i9p2067-d1133901.html
   My bibliography  Save this article

Research on Distribution Optimization of Emergency Perishable Materials Considering Periodic Changes in Freshness

Author

Listed:
  • Zichun Zhang

    (College of Economics and Management, Xi’an Technological University, Xi’an 710021, China)

  • Yang Xu

    (College of Economics and Management, Xi’an Technological University, Xi’an 710021, China)

  • Xiaodong Li

    (College of Economics and Management, Xi’an Technological University, Xi’an 710021, China)

  • Kin-Keung Lai

    (International Business School, Shaanxi Normal University, Xi’an 710119, China)

  • Yan Li

    (School of Business Administration, Xi’an Eurasia University, Xi’an 710065, China)

Abstract
The distribution of emergency perishable materials is crucial for rescue operations in disaster-stricken areas. However, the freshness of these materials changes over time, affecting the quantity of materials that can be distributed to demand points at different stages. To address this issue, this paper proposes a novel approach. Firstly, a piecewise function is constructed to describe the impact of freshness on the quality and quantity of emergency perishable materials at different time stages. Secondly, the paper establishes a vehicle distribution optimization model with the goal of maximizing the sum of the freshness of all emergency perishable materials delivered to different disaster-affected locations, taking into account the different minimum freshness constraints for the same kind of materials in different locations. Thirdly, an approximate algorithm is designed to solve the model, with the time complexity and the upper and lower bounds of the approximate ratio analyzed. Finally, an example analysis is conducted to demonstrate the validity of the proposed model and algorithm.

Suggested Citation

  • Zichun Zhang & Yang Xu & Xiaodong Li & Kin-Keung Lai & Yan Li, 2023. "Research on Distribution Optimization of Emergency Perishable Materials Considering Periodic Changes in Freshness," Mathematics, MDPI, vol. 11(9), pages 1-15, April.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:9:p:2067-:d:1133901
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/9/2067/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/11/9/2067/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rong, Aiying & Akkerman, Renzo & Grunow, Martin, 2011. "An optimization approach for managing fresh food quality throughout the supply chain," International Journal of Production Economics, Elsevier, vol. 131(1), pages 421-429, May.
    2. Shiva Zandkarimkhani & Hassan Mina & Mehdi Biuki & Kannan Govindan, 2020. "A chance constrained fuzzy goal programming approach for perishable pharmaceutical supply chain network design," Annals of Operations Research, Springer, vol. 295(1), pages 425-452, December.
    3. Chen, Jing & Dong, Ming & Xu, Lei, 2018. "A perishable product shipment consolidation model considering freshness-keeping effort," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 115(C), pages 56-86.
    4. Stellingwerf, Helena M. & Groeneveld, Leendert H.C. & Laporte, Gilbert & Kanellopoulos, Argyris & Bloemhof, Jacqueline M. & Behdani, Behzad, 2021. "The quality-driven vehicle routing problem: Model and application to a case of cooperative logistics," International Journal of Production Economics, Elsevier, vol. 231(C).
    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. Jorge Bolívar & Víctor Cantillo & Pablo Miranda, 2025. "Agri–food supply chain design for perishable products: application to small-scale farmers," Operational Research, Springer, vol. 25(2), pages 1-36, June.
    2. Lejarza, Fernando & Pistikopoulos, Ioannis & Baldea, Michael, 2021. "A scalable real-time solution strategy for supply chain management of fresh produce: A Mexico-to-United States cross border study," International Journal of Production Economics, Elsevier, vol. 240(C).
    3. Lin, Na & Kanellopoulos, Argyris & Akkerman, Renzo & Zhang, Jianghua & Ruan, Junhu, 2025. "Vehicle routing in precooling logistics with dynamic temperature-dependent product quality decay," European Journal of Operational Research, Elsevier, vol. 321(2), pages 407-427.
    4. Yi-Kuei Lin & Cheng-Fu Huang & Yi-Chieh Liao, 2019. "Reliability of a stochastic intermodal logistics network under spoilage and time considerations," Annals of Operations Research, Springer, vol. 277(1), pages 95-118, June.
    5. Chen, Jing & Dong, Ming & Xu, Lei, 2018. "A perishable product shipment consolidation model considering freshness-keeping effort," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 115(C), pages 56-86.
    6. Peng, Xiaoshuai & Zhang, Lele & Thompson, Russell G. & Wang, Kangzhou, 2023. "A three-phase heuristic for last-mile delivery with spatial-temporal consolidation and delivery options," International Journal of Production Economics, Elsevier, vol. 266(C).
    7. Tuğçe Taşkıner & Bilge Bilgen, 2021. "Optimization Models for Harvest and Production Planning in Agri-Food Supply Chain: A Systematic Review," Logistics, MDPI, vol. 5(3), pages 1-27, August.
    8. Yang, Zijing & Liu, Songsong, 2025. "Fairness-oriented multi-objective optimization of supply chain planning under uncertainties," Socio-Economic Planning Sciences, Elsevier, vol. 99(C).
    9. Chia-Nan Wang & Nhat-Luong Nhieu & Yu-Chi Chung & Huynh-Tram Pham, 2021. "Multi-Objective Optimization Models for Sustainable Perishable Intermodal Multi-Product Networks with Delivery Time Window," Mathematics, MDPI, vol. 9(4), pages 1-25, February.
    10. Mohammad Hamzehlou, 2024. "System dynamics model for an agile pharmaceutical supply chain during COVID‑19 pandemic in Iran," PLOS ONE, Public Library of Science, vol. 19(1), pages 1-31, January.
    11. Goisser, Simon & Mempel, Heike & Bitsch, Vera, 2020. "Food-Scanners as a Radical Innovation in German Fresh Produce Supply Chains," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 11(02), April.
    12. Dong Li & Xiaojun Wang, 2017. "Dynamic supply chain decisions based on networked sensor data: an application in the chilled food retail chain," International Journal of Production Research, Taylor & Francis Journals, vol. 55(17), pages 5127-5141, September.
    13. Govindan, Kannan & Salehian, Farhad & Kian, Hadi & Hosseini, Seyed Teimoor & Mina, Hassan, 2023. "A location-inventory-routing problem to design a circular closed-loop supply chain network with carbon tax policy for achieving circular economy: An augmented epsilon-constraint approach," International Journal of Production Economics, Elsevier, vol. 257(C).
    14. Mona Haji & Laoucine Kerbache & Mahaboob Muhammad & Tareq Al-Ansari, 2020. "Roles of Technology in Improving Perishable Food Supply Chains," Logistics, MDPI, vol. 4(4), pages 1-24, December.
    15. Andrea Gallo & Riccardo Accorsi & Giulia Baruffaldi & Riccardo Manzini, 2017. "Designing Sustainable Cold Chains for Long-Range Food Distribution: Energy-Effective Corridors on the Silk Road Belt," Sustainability, MDPI, vol. 9(11), pages 1-20, November.
    16. Stüve, David & van der Meer, Robert & Lütke Entrup, Matthias & Agha, Mouhamad Shaker Ali, 2020. "Supply chain planning in the food industry," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Data Science and Innovation in Supply Chain Management: How Data Transforms the Value Chain. Proceedings of the Hamburg International Conference of Lo, volume 29, pages 317-353, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    17. Amorim, P. & Günther, H.-O. & Almada-Lobo, B., 2012. "Multi-objective integrated production and distribution planning of perishable products," International Journal of Production Economics, Elsevier, vol. 138(1), pages 89-101.
    18. Hongpeng Guo & Xiangnan Sun & Chulin Pan & Shuang Xu & Nan Yan, 2022. "The Sustainability of Fresh Agricultural Produce Live Broadcast Development: Influence on Consumer Purchase Intentions Based on Live Broadcast Characteristics," Sustainability, MDPI, vol. 14(12), pages 1-19, June.
    19. Sara Martins & Pedro Amorim & Bernardo Almada-Lobo, 2018. "Delivery mode planning for distribution to brick-and-mortar retail stores: discussion and literature review," Flexible Services and Manufacturing Journal, Springer, vol. 30(4), pages 785-812, December.
    20. Magdalena Klopott, 2022. "The Importance of Insurance in Maritime Trade of Chilled or Frozen Cargoes," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 470-482.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:jmathe:v:11:y:2023:i:9:p:2067-:d:1133901. 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.
    Лучший частный хостинг