考虑众包的生鲜电商网络均衡决策
Network Equilibrium Decision of Fresh Food E-Commerce Considering Crowdsourcing
摘要: 为了解决生鲜电商因疫情而生的终端配送用工问题，提出了考虑众包配送模式的生鲜电商网络均衡模型，使用了修正投影算法求解，并进行算例分析。结果表明，消费者的成本并没有受到参数改变所带来的影响，而生鲜电商的利润会随着自由快递员配送生鲜损失承担率的变化而变化，其可选择合适的阈值使得供应链整体利润增长，众包平台的利润和自由配送员可据参数的提升而迎来一定的提升，且整体利润会随之不断提升。故生鲜电商可以考虑与合适的众包平台对接以减轻成本，众包平台也可考虑与自由配送员一起承担生鲜配送的损失，承担率可以选择合适的区间以保证合作的顺利。
Abstract: In order to solve the terminal distribution employment problem of fresh food e-commerce due to the epidemic situation, a fresh food e-commerce network equilibrium model considering crowdsourcing distribution mode is proposed, and a modified projection algorithm is used to solve it, and an example is analyzed. The results show that the cost of consumers is not affected by the change of parameters, but the profit of fresh e-commerce will change with the change of the bearing rate of fresh delivery loss of free couriers. It can choose an appropriate threshold to increase the overall profit of the supply chain. The profit of crowdsourcing platforms and free couriers can be improved according to the improvement of parameters, and the overall profit will continue to increase. Therefore, fresh food e-commerce can consider interfacing with the appropriate crowdsourcing platform to reduce costs, and the crowdsourcing platform can also consider sharing the losses of fresh food distribution with free distributors. The commitment rate can choose an appropriate range to ensure smooth cooperation.
文章引用：廖志颖, 孟芳. 考虑众包的生鲜电商网络均衡决策[J]. 运筹与模糊学, 2023, 13(1): 341-360. https://doi.org/10.12677/ORF.2023.131037

参考文献

[1] 刘伯超, 许秋茗. 我国众包物流发展的现状、困境与升级路径[J]. 对外经贸实务, 2017(11): 89-92.
[2] 黄友文. 基于SWOT分析的我国生鲜电商物流研究[J]. 保鲜与加工, 2017, 17(2): 108-113.
[3] 陈耀庭, 黄和亮. 我国生鲜电商“最后一公里”众包配送模式[J]. 中国流通经济, 2017, 31(2): 10-19.
[4] Liu, Y.H., Ma, D.Q., Hu, J.S. and Zhang, Z.Y. (2021) Sales Mode Selection of Fresh Food Supply Chain Based on Blockchain Technology under Different Channel Competition. Computers & Industrial Engineering, 162, Article ID: 107730. [Google Scholar] [CrossRef] 
[5] 付朝晖, 刘长石. 生鲜电商配送的开放式时变车辆路径问题研究[J]. 计算机工程与应用, 2021, 57(1): 271-278.
[6] 林海, 胡雅淇. 大数据剖析生鲜电商平台销量的影响因素——基于支持向量机方法的实证研究[J]. 贵州社会科学, 2021(3): 129-138.
[7] Lin, J.B., Li, T. and Guo, J.Y. (2021) Factors Influencing Consumers’ Continuous Purchase Intention on Fresh Food E-Commerce Platforms: An Organic Foods-Centric Empirical Investigation. [J]. Electronic Commerce Research and Applications, 50, Article ID: 101103. [Google Scholar] [CrossRef] 
[8] 白世贞, 谢爽, 吴绒, 鄢章华. 基于价格参考效应的生鲜电商供应链协调策略研究[J]. 保鲜与加工, 2018, 18(1): 118-124.
[9] 郑金山. 新冠疫情下基于配送服务影响需求量的生鲜电商供应链模型研究[J]. 哈尔滨师范大学自然科学学报, 2020, 36(4): 30-32.
[10] 张科静, 马曼琼. 考虑生鲜电商退货的双渠道供应链协调研究[J]. 东华大学学报(自然科学版), 2021, 47(6): 116-123.
[11] 徐慧婷. 基于F2F的生鲜电商三级供应链决策及协调研究[J]. 广东工业大学学报, 2022, 39(3): 25-31.
[12] Nagurney, A., Dong, J. and Zhang, D. (2002) A Supply Chain Network Equilibrium Model. Trans-portation Research Part E: Logistics and Transportation Review, 38, 281-303. [Google Scholar] [CrossRef] 
[13] 胡一竑, 李学迁, 张江华, 张建同. 网购供应链网络均衡模型研究[J]. 运筹与管理, 2012, 21(4), 34-40.
[14] 曹炳汝, 朱博文. 考虑再制造投资的闭环供应链网络均衡模型[J]. 工业工程, 2021, 24(3): 1-9.
[15] Zhang, G.T., Cheng, P.Y., Sun, H., et al. (2021) Carbon Reduction Decisions under Progressive Carbon Tax Regulations: A New Dual-Channel Supply Chain Network Equilibrium Model. Sustainable Production and Consumption, 27, 1077-1092. [Google Scholar] [CrossRef] 
[16] 张铁柱, 刘志勇, 滕春贤, 胡运权. 多商品流供应链网络均衡模型的研究[J]. 系统工程理论与实践, 2005, 25(7): 61-66.
[17] 何胜学, 潘红. 考虑库存的供应链框架下区域运输网络均衡模型[J]. 系统工程, 2013, 31(5): 9-15.
[18] 周礼南, 周根贵, 綦方中, 曹柬. 考虑消费者有机产品偏好的生鲜农产品供应链均衡研究[J]. 系统工程理论与实践, 2019, 39(2): 360-371.
[19] 王文杰, 孙中苗, 徐琪, 王志宏. 随机需求下考虑服务商竞争的众包物流动态定价策略[J]. 工业工程与管理, 2018, 23(2): 114-121.
[20] 王文杰, 陈颖, 蒋帅杰. 考虑平台竞争的众包物流社会配送服务最优定价策略[J]. 运筹与管理, 2020, 29(10): 11-20.
[21] 慕静, 杜田玉, 刘爽, 等. 基于即时配送和收益激励的众包物流运力调度研究[J]. 运筹与管理, 2018, 27(5): 58-65.
[22] 李玉, 吴斌, 王超. 基于前景理论的众包物流配送方行为决策演化博弈分析——基于发货方视角[J]. 运筹与管理, 2019, 28(6): 129-135.
[23] 向传凯, 张毅. 接包方视角下众包物流平台评价研究[J]. 商业经济研究, 2020(9): 112-114.
[24] 邱洪全. 基于TAM模型的众包物流大众参与行为影响因素[J]. 中国流通经济, 2018, 32(4): 110-119.
[25] 孟秀丽, 吴艾婧, 杨静. 众包物流服务网络决策优化[J]. 系统工程, 2020, 38(1): 75-84.

为你推荐