考虑模糊时间和成熟度的跨区域鲜果电商配送模型研究

doi:10.12005/orms.2022.0087

运筹与管理 ›› 2022, Vol. 31 ›› Issue (3): 119-126.DOI: 10.12005/orms.2022.0087

考虑模糊时间和成熟度的跨区域鲜果电商配送模型研究

高新会¹, 胡祥培², 阮俊虎^1,2, 冯晓春¹, 韩继良¹

1.西北农林科技大学经济管理学院,陕西杨凌 712100;
2.大连理工大学经济管理学院,辽宁大连 116024

收稿日期:2019-09-07 出版日期:2022-03-25 发布日期:2022-04-12
通讯作者: 阮俊虎(1983-),男,河南周口人,教授,博士生导师,研究方向:数字农业运营管理。
作者简介:高新会(1990-),女,河北邢台人,硕士研究生,研究方向:农产品电商,电商物流;胡祥培(1962-),男,安徽绩溪人,教授,博士生导师,研究方向:电子商务与物流管理;冯晓春(1989-),女,陕西凤翔人,讲师,博士,研究方向:农产品电商与物流管理;韩继良(1996-),男,山东临朐人,博士研究生,研究方向:农产品电商与运营管理。
基金资助:
国家自然科学基金资助项目(71703122,71973106);陕西省杰出青年科学基金(2021JC-21);西北农林科技大学仲英青年学者

Study on Cross-region Fresh Fruit E-commerce Distribution Model with Fuzzy Time and Maturity

GAO Xin-hui¹, HU Xiang-pei², RUAN Jun-hu^1,2, FENG Xiao-chun¹, HAN Ji-liang¹

1. College of Economics and Management, Northwest A&F University, Yangling 712100, China;
2. College of Economics and Management, Dalian University of Technology, Dalian 116024, China

Received:2019-09-07 Online:2022-03-25 Published:2022-04-12

摘要/Abstract

摘要： 基于现实配送过程中配送时间存在着不确定性,通过配送时间模糊化处理构建出跨区域鲜果电商配送模糊网络流模型,进而根据实际配送时间与期望配送时间的偏离建立顾客满意度函数,然后构建由满意度降低引起的惩罚成本函数,并根据鲜果成熟度变化特性建立带有模糊时间和成熟度的跨区域鲜果电商配送最小成本路线优化模型。在求解过程中利用三种去模糊化方法(重心法、积分法和α-cut法)对模糊时间进行处理,并结合现有的整数规划算法对模型进行求解,得出最佳配送路线并进行对比分析。结果表明:(1)根据鲜果成熟度水平选择适当的配送路线可以有效降低配送成本,保证鲜果品质;(2)在去模糊化方面α-cut法比重心法和积分法所得结果更具有一般性。

关键词: 鲜果电商, 网络流模型, 模糊配送时间, 成熟度

Abstract: Based on the uncertainty of the delivery time in the actual distribution process, the fuzzy network flow model of cross-region fresh fruit e-commerce distribution is constructed through the fuzzy processing of delivery time. Then we establish the customer satisfaction function according to the deviation between the actual delivery time and the expected delivery time.The penalty cost function caused by the decrease in satisfaction is further constructed, and a minimum cost route optimization model for cross-regional fresh fruit e-commerce distribution with fuzzy time and maturity is built in the light of the change characteristics of fresh fruit maturity.In the process of solving, three fuzzy number defuzzification methods (centroid method, integral method and α-cut method) are utilized to deblur the fuzzy delivery time of the model, and combined with the existing integer programming algorithm to solve the optimization model. Finally, the optimal distribution route under different methods is obtained. Through comparison and analysis of the results obtained, it is found that: (1)Choosing an appropriate distribution route based on the maturity level of fresh fruit can effectively reduce the cost of fresh fruit delivery, maximize the quality of fresh fruit when it reaches the customer's hand, and maintains the customer satisfaction level at a high level; (2)From the point of view of defuzzification, the results obtained by the α-cut method are more general and reliable than the centroid method and the integral method.

Key words: fresh fruit e-commerce, network flow model, fuzzy delivery time, maturity

中图分类号:

TB114.1

高新会, 胡祥培, 阮俊虎, 冯晓春, 韩继良. 考虑模糊时间和成熟度的跨区域鲜果电商配送模型研究[J]. 运筹与管理, 2022, 31(3): 119-126.

GAO Xin-hui, HU Xiang-pei, RUAN Jun-hu, FENG Xiao-chun, HAN Ji-liang. Study on Cross-region Fresh Fruit E-commerce Distribution Model with Fuzzy Time and Maturity[J]. Operations Research and Management Science, 2022, 31(3): 119-126.

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考虑模糊时间和成熟度的跨区域鲜果电商配送模型研究

Study on Cross-region Fresh Fruit E-commerce Distribution Model with Fuzzy Time and Maturity

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