IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i9p3624-d1383362.html
   My bibliography  Save this article

Resource Scheduling Optimization of Fresh Food Delivery Porters Considering Ambient Temperature Variations

Author

Listed:
  • Ziyu Shan

    (School of Business, Renmin University of China, Beijing 100872, China)

  • Jianming Yao

    (School of Business, Renmin University of China, Beijing 100872, China)

Abstract

In the context of an evolving socio-economic landscape and rising living standards, the online market for fresh products, encompassing fruits, vegetables, meats, dairy, and eggs, has seen substantial growth, necessitating sophisticated logistics for e-commerce home delivery. This study tackles the distinct challenges of fresh product delivery, which demand rigorous adherence to climate conditions and product mix during transport, significantly influencing the operational strategies and scheduling of delivery platforms. To address these challenges, a comprehensive mathematical model was developed to optimize fresh food home delivery scheduling, focusing on reducing spoilage rates and accommodating the dynamic impact of environmental temperature changes. The model posits assumptions of a consistent and ample supply of fresh goods, standard initial quality loss, and efficient porter assignment for multi-category order combinations. It introduces three objective functions, targeting the minimization of fresh food loss, maximization of customer satisfaction, and reduction of distributor costs. The efficacy of the model and its genetic-algorithm-based solution method was assessed through numerical analysis and case studies, illustrating that the model enhances delivery efficiency and service quality across varying temperature conditions. This substantiates the critical role of environmental temperature management in optimizing fresh food delivery, offering a robust framework for advancing logistical operations in the perishable goods sector and ensuring quality and efficiency in fresh food e-commerce delivery.

Suggested Citation

  • Ziyu Shan & Jianming Yao, 2024. "Resource Scheduling Optimization of Fresh Food Delivery Porters Considering Ambient Temperature Variations," Sustainability, MDPI, vol. 16(9), pages 1-25, April.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:9:p:3624-:d:1383362
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/9/3624/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/9/3624/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Vladimir Todorovic & Marinko Maslaric & Sanja Bojic & Maja Jokic & Dejan Mircetic & Svetlana Nikolicic, 2018. "Solutions for More Sustainable Distribution in the Short Food Supply Chains," Sustainability, MDPI, vol. 10(10), pages 1-27, September.
    2. Seyed Amir Naghibi & Kourosh Ahmadi & Alireza Daneshi, 2017. "Application of Support Vector Machine, Random Forest, and Genetic Algorithm Optimized Random Forest Models in Groundwater Potential Mapping," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(9), pages 2761-2775, July.
    3. Hirschberg, J.G. & Lye, J.N. & Slottje, D.J., 2008. "Inferential methods for elasticity estimates," Journal of Econometrics, Elsevier, vol. 147(2), pages 299-315, December.
    4. Gaoyuan Qin & Fengming Tao & Lixia Li, 2019. "A Vehicle Routing Optimization Problem for Cold Chain Logistics Considering Customer Satisfaction and Carbon Emissions," IJERPH, MDPI, vol. 16(4), pages 1-17, February.
    5. Mozhu Wang & Jianming Yao, 2023. "Intertwined supply network design under facility and transportation disruption from the viability perspective," International Journal of Production Research, Taylor & Francis Journals, vol. 61(8), pages 2513-2543, April.
    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. Agata Malak-Rawlikowska & Edward Majewski & Adam Wąs & Svein Ole Borgen & Peter Csillag & Michele Donati & Richard Freeman & Viet Hoàng & Jean-Loup Lecoeur & Maria Cecilia Mancini & An Nguyen & Monia , 2019. "Measuring the Economic, Environmental, and Social Sustainability of Short Food Supply Chains," Sustainability, MDPI, vol. 11(15), pages 1-23, July.
    2. Joe Hirschberg & Jenny Lye, 2017. "Alternative Graphical Representations of the Confidence Intervals for the Structural Coefficient from Exactly Identified Two-Stage Least Squares," Department of Economics - Working Papers Series 2026, The University of Melbourne.
    3. Hirschberg, J.G. & Lye, J.N., 2010. "Two geometric representations of confidence intervals for ratios of linear combinations of regression parameters: An application to the NAIRU," Economics Letters, Elsevier, vol. 108(1), pages 73-76, July.
    4. Noguer-Junca Ester & Fusté-Forné Francesc, 2023. "Regional foods in the tourism value chain: the case of Hazelnut of Brunyola," Miscellanea Geographica. Regional Studies on Development, Sciendo, vol. 27(1), pages 19-25, January.
    5. Ali Saeed Almuflih & Janpriy Sharma & Mohit Tyagi & Arvind Bhardwaj & Mohamed Rafik Noor Mohamed Qureshi & Nawaf Khan, 2022. "Leveraging the Dynamics of Food Supply Chains towards Avenues of Sustainability," Sustainability, MDPI, vol. 14(12), pages 1-15, June.
    6. Madhumita Sahoo & Aman Kasot & Anirban Dhar & Amlanjyoti Kar, 2018. "On Predictability of Groundwater Level in Shallow Wells Using Satellite Observations," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(4), pages 1225-1244, March.
    7. Zaka Ratsimalahelo, 2024. "Re examining confidence intervals for ratios of parameters," Working Papers 2024-20, CRESE.
    8. Fabíola Sostmeyer Polita & Lívia Madureira, 2021. "Evolution of Short Food Supply Chain Innovation Niches and Its Anchoring to the Socio-Technical Regime: The Case of Direct Selling through Collective Action in North-West Portugal," Sustainability, MDPI, vol. 13(24), pages 1-24, December.
    9. Ao Lv & Baofeng Sun, 2022. "Multi-Objective Robust Optimization for the Sustainable Location-Inventory-Routing Problem of Auto Parts Supply Logistics," Mathematics, MDPI, vol. 10(16), pages 1-22, August.
    10. Chrysanthi Charatsari & Evagelos D. Lioutas & Marcello De Rosa, 2024. "Going Short and Going Digital: How Do Consumers View the Impacts of Digitalizing Short Food Supply Chains?," Sustainability, MDPI, vol. 16(24), pages 1-17, December.
    11. Hirschberg, Joe & Lye, Jenny, 2017. "Inverting the indirect—The ellipse and the boomerang: Visualizing the confidence intervals of the structural coefficient from two-stage least squares," Journal of Econometrics, Elsevier, vol. 199(2), pages 173-183.
    12. Magdalena Raftowicz & Krzysztof Solarz & Agnieszka Dradrach, 2024. "Short Food Supply Chains as a Practical Implication of Sustainable Development Ideas," Sustainability, MDPI, vol. 16(7), pages 1-14, March.
    13. Qiang Fu & Yurou Sun & Lei Wang, 2022. "Risk Assessment of Import Cold Chain Logistics Based on Entropy Weight Matter Element Extension Model: A Case Study of Shanghai, China," IJERPH, MDPI, vol. 19(24), pages 1-16, December.
    14. Mercedes Moreira-Menéndez & Roberto Pico-Saltos & Carlos Edison Zambrano, 2024. "Internationalisation of non-financial social and solidarity economy cooperatives: case study in Ecuador," Future Business Journal, Springer, vol. 10(1), pages 1-15, December.
    15. Fatima Zahra Echogdali & Said Boutaleb & Rosine Basseu Kpan & Mohammed Ouchchen & Amine Bendarma & Hasna El Ayady & Kamal Abdelrahman & Mohammed S. Fnais & Kochappi Sathyan Sajinkumar & Mohamed Abioui, 2022. "Application of Fuzzy Logic and Fractal Modeling Approach for Groundwater Potential Mapping in Semi-Arid Akka Basin, Southeast Morocco," Sustainability, MDPI, vol. 14(16), pages 1-17, August.
    16. Carolina Yacamán Ochoa & Alberto Matarán Ruiz & Rafael Mata Olmo & Álvaro Macías Figueroa & Adolfo Torres Rodríguez, 2020. "Peri-Urban Organic Agriculture and Short Food Supply Chains as Drivers for Strengthening City/Region Food Systems—Two Case Studies in Andalucía, Spain," Land, MDPI, vol. 9(6), pages 1-20, June.
    17. Dini, Niloofar & Yaghoubi, Saeed & Bahrami, Hamideh, 2025. "Logistics Performance Index-driven in operational planning for logistics companies: A smart transportation approach," Transport Policy, Elsevier, vol. 160(C), pages 42-62.
    18. Lei Zhou & Qianpeng Li & Fachao Li & Chenxia Jin, 2022. "Research on Green Technology Path of Cold-Chain Distribution of Fresh Products Based on Sustainable Development Goals," Sustainability, MDPI, vol. 14(24), pages 1-14, December.
    19. Li Yang & Xin Fang & Xue Wang & Shanshan Li & Junqi Zhu, 2022. "Risk Prediction of Coal and Gas Outburst in Deep Coal Mines Based on the SAPSO-ELM Algorithm," IJERPH, MDPI, vol. 19(19), pages 1-18, September.
    20. Guanyin Shuai & Yan Zhou & Jingli Shao & Yali Cui & Qiulan Zhang & Chaowei Jin & Shuyuan Xu, 2024. "Comparison of Multiple Machine Learning Methods for Correcting Groundwater Levels Predicted by Physics-Based Models," Sustainability, MDPI, vol. 16(2), pages 1-18, January.

    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:jsusta:v:16:y:2024:i:9:p:3624-:d:1383362. 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.