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机构地区:[1]武汉科技大学,汽车与交通工程学院,湖北 武汉
出 处:《运筹与模糊学》2023年第1期341-360,共20页Operations Research and Fuzziology
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。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.
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