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Optimizing And Applying Research Of Cold-chain Logistics Based On The Complex Network

Posted on:2010-11-16Degree:MasterType:Thesis
Country:ChinaCandidate:Y J GaoFull Text:PDF
GTID:2189360275986073Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
With the swift and violent development of the food industry, the continuous improvement of living standards of the people, the food cold-chain industry has been developed rapidly. However, the cold- chain industry in China took-off late. Compared to developed countries, there are still greater distance. The development and our country's growing market demand for frozen food are in contradiction. China's cold-chain logistics network's mechanism is not perfect. It hasn't formed a completed, rational, orderly, efficient and health system. The network existed a series of questions, such as the poor transfer of the products and information, the constantly changing market, the unsound logistics infrastructure. Therefore, the study of cold-chain logistics network and building a complex network model are very important. The model can reflect the inherent structure and the law of development. To use the relevant knowledge of complicated network and solve the optimization problem of cold-chain logistics network has become a hot point in the academic cycles and aroused intensive concerns.To address this problem, the thesis establish the network model of cold-chain logistics. It provide some theoretical basis of promoting the cold-chain logistics industry's healthy development. And on this basis, it studies the optimized simulation for cold-chain logistics network.Based on the research above, the main findings and the conclusions are mentioned as follows:First of all, the thesis is according to the complex network and cold-chain logistics theory. It analyzes both at home and abroad current situation based on cold-chain logistics network research, summarized the basic concepts, basic principles and basic methods of the cold-chain logistics network. After the study of the domestic original research of cold-chain logistics network theory, I decide to use the complex network to carry on the optimization research..Secondly, based on economic characteristics and operation of the mechanism in the cold-chain logistics network, the thesis analyzes its definitions, characteristics, elements and complexity.Thirdly, the cold-chain logistics system, which is a subsystem of the socio-economic system, shows complex non-linear characteristics. Based on the complexity of cold-chain logistics network, the thesis establish a more advanced scientific optimization model of cold-chain logistics network to strengthen the ability to resist random destruction or malicious attacks, to promote sustained, healthy and stable development of cold-chain logistics network. At the basis of existing studies, the thesis systematically analyzed the characteristics of complex networks and the statistical properties, construct a theoretical and practical cold-chain logistics network optimization model, which provides basis to solve the problem of optimal cold-chain logistics network.Fourthly, this thesis, with cold-chain logistics network model of a complex network theory and cold-chain logistics theory as a foundation, and on this basis, based on the BA scale-free networks improved cold-chain logistics network model, this model overcomes the deficiency of traditional modeling methods. With highly parallelism and global superiority, the model improves the scale-free network's non-linearity, self-organizing, self adaptability and has high rationality and applicability.Finally, based on the previous studies, the thesis analyzes mainly for the formation of the network evolution model robust, the tolerance of the network optimization, and carry on optimize simulation for the cold-chain logistics network. Based on the principle of feasibility, reasonable economy, best practice, the thesis finally form the conclusion of network optimization analysis.
Keywords/Search Tags:Cold-chain Logistics, Complex Networks, Free-scale Networks, Transitivity, Degree distributions
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