Coordinated Management Method of Information Contract in Port Logistics Service Supply Chain

• Published in: Journal of coastal research Vol. 93; no. sp1; pp. 1047 - 1052
• Main Authors: Duan, Caiquan, Xiu, Guoyi, Zhang, Yunhui
• Format: Journal Article
• Language: English
• Published: Coastal Education and Research Foundation 23.09.2019; Allen Press Publishing
• Subjects: contract coordination management; information; Port logistics; service; supply chain; WATER RESOURCES IN MARINE LOGISTICS
• ISSN: 0749-0208; 1551-5036
• DOI: 10.2112/SI93-151.1

Duan, C.; Xiu, G., and Zhang, Y., 2019. Coordinated management method of information contract in port logistics service supply chain. In: Guido-Aldana, P.A. and Mulahasan, S. (eds.), Advances in Water Resources and Exploration. Journal of Coastal Research, Special Issue No. 93, pp. 1047–1052. Coconut Creek (Florida), ISSN 0749-0208. In order to realize the optimal scheduling and automatic identification of port logistics service supply chain information, it is necessary to design the contract coordination management of port logistics service supply chain information. A coordinated management model of port logistics service supply chain information contract based on grid area reconstruction learning clustering is proposed. The fuzzy association rule scheduling technology is used to sample the port logistics service supply chain information, and the port logistics service supply chain information collected by RFID is processed by information fusion. The autocorrelation statistical regression analysis method is used to extract the correlation statistical features of port logistics service supply chain information, and the matching filtering method is used to detect the redundant features of port logistics service supply chain information for interference suppression filtering. The purified port logistics service supply chain information is reconstructed by phase space reconstruction technology, and the reconstructed data is classified and identified by grid area reconstruction learning clustering classifier. The contract coordination management and automatic retrieval of port logistics service supply chain information are realized. The simulation results show that the automatic classification of port logistics service supply chain information contract coordination management is good, and the fuzzy clustering ability is strong, which improves the coordination management ability of port logistics service supply chain information contract.