首页|考虑大数据因素的港口LSSC协调影响研究

考虑大数据因素的港口LSSC协调影响研究

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港口LSSC(物流服务供应链)各节点企业经历了从独立经营、纵向一体化到供应链合作的思想转变。2020 年以来,集装箱设备短缺、运价暴涨、需求波动等负面因素导致港口LSSC契约合作不稳定性骤增。因此,分析影响港口LSSC协调稳定性的关键因素,利用大数据技术提高港口供应链的稳定性及运作效率,促进供应链全局效用的最大化成为具有现实意义的研究课题。文中基于 Stackelberg博弈模型,构建了大数据服务下港口LSSC的利润模型,得到大数据物流成本优化系数的范围,使用Fb(x)-Fa(x)来度量港口LSSC中物流需求对大数据服务的敏感性,结果表明:当大数据物流成本优化系数满足一定的条件时,引入大数据服务会使得港口LSSC的利润增加,反之,会使得港口LSSC的利润减少;与港口LSSC不匹配的大数据水平会显著增加企业成本,适当引入大数据服务有利于实现港口LSSC协调。
Research on the Influence of Port LSSC Coordination Considering Big Data Factors
Node enterprises in port LSSC(logistics service supply chain)have experienced the change of thought from independent management and vertical integration to the supply chain cooperation.Since 2020,the negative factors such as the shortage of container equipment,the continuous rise of freight rates,and shipping demand fluctuation brought about a sharp increase in the instability of the port LSSC contract cooperation.Therefore,it has become a research topic of practical significance to analyze the key factors affecting the stability of port LSSC coordination,improve the stability and operation efficiency of port supply chain by using big data technology,and promote the maximization of the global utility of supply chain.Based on Stackelberg game model,this paper constructs the profit model of port LSSC under big data services,obtains the range of logistics cost optimization coefficient of big data,and uses it to measure the sensitivity of logistics demand in port LSSC to big data services.The results show as follows:When the optimization coefficient of big data logistics cost meets certain conditions,the introduction of big data services will increase the profits of port LSSC,and it will decrease the profits of port LSSC otherwise;The level of big data that does not match the port LSSC will significantly increase the cost of enterprises,and the appropriate introduction of big data services is conducive to the realization of port LSSC coordination.

portsport LSSCbig data factorssupply chain coordination

左永刚、胡静、李兴海

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合肥工业大学 管理学院,安徽 合肥 230009

安徽工业职业技术学院 管理工程系,安徽 铜陵 244000

港口 港口LSSC 大数据因素 供应链协调

安徽省质量工程项目

2022jyxm212

2024

物流工程与管理
中国仓储协会 全国商品养护科技情报中心站

物流工程与管理

影响因子:0.412
ISSN:1674-4993
年,卷(期):2024.46(2)
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