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Deployment Model of Big Data for Port Logistics

Abstract:

Port Logistics has large amounts of data which are difficult to handle, analyze, process or extract sensitive value added; the benefits of Storage, Analysis Monitoring and Data Sharing are unimaginable. Port Logistics has the necessity to develop a Deployment Model as a convergence guide towards a better Supply Chain Management in terms of Data Value. The author presents a Deployment Model and guide stages integration by identifying the Big Data, Supply Chain Management and Port Logistics as the core areas to setting up a heterogeneous network access convergences and resource of services. The Model considers main functions to monitoring data by connecting companies into a common context platform to storage data with high data standards.