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Research On Coal Port Network Optimization And Peration Strategy Under Collecting And Distribution System

Posted on:2015-01-22Degree:DoctorType:Dissertation
Country:ChinaCandidate:S LiuFull Text:PDF
GTID:1482304313456044Subject:Technical Economics and Management
Abstract/Summary:PDF Full Text Request
Coal is vitally important energy to China's economy. And China is the most coal dependent major country in the world. Due to China's energy structure and coal resources distribution, in order to accomplish coal transportation annual supply task, most of coal was transported from western coal mine shipping to the east electricity plant and northern coal shipping to the south through port:"western coal shipped east, north south" transportation pattern. China's coal transportation mode is a typical rail-sea transportation. Due to the limitation of railway transport capacity, a large number of south coal need to adopt the amphibious transportation scheme. The coal shipped to the port in the north, through the railway and then shipped south, thus formed a coal transportation network system. With the increase of the port throughput, people gradually have realized that the port internal logistics operation efficiency is an important factor for port development. Especially the goods internal efficient transmission in port, directly affect the port yard inventory and ship waiting, etc., so as to influence the overall port operation efficiency.According to the above analysis, in this paper, the coal port throughput prediction model, the coal port transmission path choice and provide theoretical basis for the port transmission path optimization in the internal port, so as to achieve the purpose of improving port turnover. The specific research contents include the following aspects:(1) Reasonable and reliable coal port throughput prediction result is the premise and the key in coal port transportation network optimization scheme. In this paper, based on adaptive particle swarm algorithm to optimize the parameters of LSSVM choice of least squares support vector machine (SVM) coal port throughput prediction model.(2) According to the process of coal logistics, that is, from coal via the port of origin to destination throughout the transportation process, in the process of the transportation distance between each node, the node's biggest port through capacity and future demand for coal, based on CPM coal transportation network is proposed through the ports of the shortest path transportation model.(3) Analysis of coal internal problems that exist in the transmission process in the coal port. Through the analysis found that the work between the various minimum, even the largest time constraint relations, thus using the above contains various time constraint relation of GPRs network is analyzed. On the basis of the theory of GPRs network, the establishment of the coal transport route choice model, in port for coal provides theoretical evidence for the selection of transmission path in port, and to optimize the coal at the port within the transmission path, improve the utilization rate of coal turnover in port and equipment as well as the effect of improving the comprehensive competitiveness of the port.(4) Based on the operational characteristics of modern coal port transportation environment, through the theory of customer relationship management (CRM), and then establish the transportation environment of coal port of customer value evaluation system, finally it is concluded that coal port big customer recognition based on transportation environment index system.For the further research of the above content, the main implementation of coal transport, in order to alleviate the pressure of the traffic in the port city. And this research has important theory value and practical significance.
Keywords/Search Tags:Transportation, coal ports, network optimization, transmission path, throughput prediction, customer identification index
PDF Full Text Request
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