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Research On Scattered Liquid Vehicle Optimal Management For Tianjin Petrochemical Dock

Posted on:2012-03-07Degree:MasterType:Thesis
Country:ChinaCandidate:J B ZhuFull Text:PDF
GTID:2212330368484986Subject:Traffic and Transportation Engineering
Abstract/Summary:PDF Full Text Request
With oil chemical wharf in Tianjin port infrastructure equipment construction, terminal throughput will greatly improve. Transportation vehicles are lower level of personnel management model, this model can not satisfy the requirements of the development of port. Design implementation scattered vehicle management optimization scheme has liquid appear especially heavy. The new vehicle management mode can significantly change the disadvantages of personnel and vehicle management, eliminate the safety production hidden danger, speed up the liquid vehicles scattered in logistics management, improve the service quality.This paper analyses the Tianjin petrochemical dock liquid vehicle management present situation, and points out that the problem of vehicle management, and explain the importance of system optimization; Secondly the Excel curve fitting prediction model prediction port in the future five years of oil and homework vehicles freight volume number, explain the necessity of wharf vehicle management optimization from the future Angle; And then design a new vehicle management plan which ship out port wharf apron of vehicles scattered liquid work plan according to the dynamic change, coordinate the management department, make the vehicle transportation system can achieve the highest efficiency; At last, the optimization scheme of hardware and software implementation of investments and docks personnel training.Through to the optimization and adjustment of Tianjin petrochemical dock liquid vehicle management to meet scattered its future development goals, improve oil transportation rate, reduce the transportation cost, make Tianjin petrochemical dock in the Bohai gulf port group of a competitive edge.
Keywords/Search Tags:Port ship put homework, Throughput prediction, Vehicle management, Optimization
PDF Full Text Request
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