Research on Fresh Produce Delivery Scheduling Problems under the Perspective of Community E-commerce

Authors

  • Zhongxuan Huang
  • Di Wu
  • Chunyan Zhong

DOI:

https://doi.org/10.54097/c054f874

Keywords:

Community e-commerce, Fresh agricultural products, Delivery scheduling, Genetic algorithm.

Abstract

This paper addresses the challenges associated with the high costs and logistical difficulties in the distribution of fresh agricultural products from the perspective of community e-commerce. The paper takes the perspective of merchant scheduling and integrates a classical vehicle scheduling model. The study meticulously examines the various costs associated with the distribution process, encompassing fixed costs, transportation costs, refrigeration costs, storage costs and time subsidies. A vehicle routing optimisation model was developed with the dual objectives of cost control and product quality assurance. The use of a genetic algorithm for analysis and solution indicates that this approach can achieve superior cost efficiency and more optimal delivery routes. The results not only confirm the validity of the model and the effectiveness of the solution algorithm, but also provide theoretical underpinnings and viable optimisation strategies for analogous route optimisation challenges. This research has significant reference value and practical relevance for improving delivery efficiency and cost management in community e-commerce.

Downloads

Download data is not yet available.

References

Huang, Y., et al., Architecture of next-generation e-commerce platform. Tsinghua Science and Technology, 2019. 24(1): p. 18-29.

Chen, X., R. Chen, and C. Yang, Research and design of fresh agricultural product distribution service model and framework using IoT technology. Journal of Ambient Intelligence and Humanized Computing, 2021.

Han, J.-W., et al., A comprehensive review of cold chain logistics for fresh agricultural products: Current status, challenges, and future trends. Trends in Food Science & Technology, 2021. 109: p. 536-551.

Leung, E.K., Z. Ouyang, and G.Q. Huang, Community logistics: a dynamic strategy for facilitating immediate parcel delivery to smart lockers. International Journal of Production Research, 2023. 61(9): p. 2937-2962.

Ouyang, Z., E.K.H. Leung, and G.Q. Huang, Community logistics for dynamic vehicle dispatching: The effects of community departure “time” and “space”. Transportation Research Part E: Logistics and Transportation Review, 2022. 165: p. 102842.

Zhu, S., H. Fu, and Y. Li, Optimization research on vehicle routing for fresh agricultural products based on the investment of freshness-keeping cost in the distribution process. Sustainability, 2021. 13(14): p. 8110.

Sun, J., et al., Research on the optimization of fresh agricultural products trade distribution path based on genetic algorithm. Agriculture, 2022. 12(10): p. 1669.

Lambora, A., K. Gupta, and K. Chopra. Genetic algorithm-A literature review. in 2019 international conference on machine learning, big data, cloud and parallel computing (COMITCon). 2019. IEEE.

Ghoseiri, K. and S.F. Ghannadpour, Multi-objective vehicle routing problem with time windows using goal programming and genetic algorithm. Applied Soft Computing, 2010. 10(4): p. 1096-1107.

Shui, W. and M. Li, Integrated Pricing and Distribution Planning for Community Group Purchase of Fresh Agricultural Products. Scientific Programming, 2020. 2020: p. 8839398.

Downloads

Published

15-08-2024

How to Cite

Huang, Z., Wu, D., & Zhong, C. (2024). Research on Fresh Produce Delivery Scheduling Problems under the Perspective of Community E-commerce. Journal of Education, Humanities and Social Sciences, 37, 53-62. https://doi.org/10.54097/c054f874