Optimization of fresh food distribution in community group purchase considering customer satisfaction

Le Zhang; Qinya Han; Jiayang Li

doi:10.1117/12.2685523

15 August 2023 Optimization of fresh food distribution in community group purchase considering customer satisfaction

Le Zhang, Qinya Han, Jiayang Li

Proceedings Volume 12719, Second International Conference on Electronic Information Technology (EIT 2023); 127190Y (2023) https://doi.org/10.1117/12.2685523
Event: Second International Conference on Electronic Information Technology (EIT 2023), 2023, Wuhan, China

Abstract

Aiming at the problems of high loss and low satisfaction rates in the distribution process, this paper studies the distribution optimization of community group buying. Considering customer satisfaction, this paper studies the fixed cost of vehicles, the variable cost during transportation, the penalty cost for exceeding the time, the cost of goods damage during transportation, and the cost of self-pickup service in the process of distribution optimization. It constructs the optimization model of community group purchase fresh food logistics distribution considering customer satisfaction with the goal of minimizing the total distribution cost. According to the model, the genetic algorithm is used to solve it, and a numerical example is used to verify the conclusion. The optimization model of fresh food distribution in community group purchase considering customer satisfaction proposed in this paper is representative. This study can provide some theoretical reference for the planning of community group purchase distribution schemes.

Citation Download Citation

Le Zhang, Qinya Han, and Jiayang Li "Optimization of fresh food distribution in community group purchase considering customer satisfaction", Proc. SPIE 12719, Second International Conference on Electronic Information Technology (EIT 2023), 127190Y (15 August 2023); https://doi.org/10.1117/12.2685523

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