Construction of Integrated Management Model of Port Logistics Supply Chain Based on Big Data

Abstract

Ouyang, F., 2019. Construction of integrated management model of port logistics supply chain based on big data. In: Guido-Aldana, P.A. and Mulahasan, S. (eds.), Advances in Water Resources and Exploration. Journal of Coastal Research, Special Issue No. 93, pp. 1053–1058. Coconut Creek (Florida), ISSN 0749-0208.Port logistics supply chain management is an integrated management idea and method, which performs the functions of logistics planning and control from supplier to end user in supply chain, an integrated management model of port logistics supply chain based on big data is proposed. The big data regression analysis model of integrated management of port logistics supply chain is constructed by statistical analysis method. The constraint index parameter set of optimization of integrated management mode of port logistics supply chain is analyzed in port logistics supply chain, and the big data fusion of integrated management model of port logistics supply chain is carried out by using correlation detection method. Combined with cumulative variance analysis, big data clustering is carried out for port logistics supply chain integrated management model. According to the clustering results, the quantitative distribution set of port logistics supply chain integrated management model is constructed. Combined with big data fuzzy clustering control and information fusion method, the port logistics supply chain integrated management model is constructed. The results of empirical analysis show that the data fusion of port logistics supply chain integrated management model selection by this method is good, which shows that the rationality of port logistics supply chain integrated management mode selection is more accurate, and the integrated management ability of port logistics supply chain under the environment of Internet of things is improved.