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Integrated Supply Chain Framework Based On Agent

Posted on:2007-04-22Degree:MasterType:Thesis
Country:ChinaCandidate:D X WangFull Text:PDF
GTID:2189360212982327Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
The development of the supply chain is a continuously process, with the evolution of science and the update of management theory, supply chain begins to develop towards integration which has played a more and more important role in promoting efficiency and generating new function of whole chain. And the integration of supply chain is very complex problems, one of these is to build an integrated framework.Based on the study of relevant documents and practices about supply chain management in the world, Firstly, the paper researches the implication of integrated supply chain, and considers that, in addition of information technology, logistics and management are also tow important points in which integration supply chain is different from traditional supply chain. According to self organization theory, the paper investigates the development process of integration supply chain. Then we introduce the concept of management interface, explain the advantages and characteristic of integrated supply chain. Secondly, we introduce the term 'agent', and define the supply chain as a multi-agent system, then we build a supply chain model by Petri net, through the analysis of place and transport, we confirm the point where the Neural net will be built in, then deal original data with Rough set theory and generate original rule set, use Neural net to rebuild the rule set, finally, we gain ultimate rule set which will be executed by transport. Based on the theory and method above, we build up an integrated framework and set up the process of building it. At last, we introduce the supply chain of SSE as an example to practice the integrated framework, find out the bug of whole course and give some advice, then extract the rule of supplier selection.
Keywords/Search Tags:Integrated Supply Chain, Agent, Petri Net, Neural Net, Rough Set
PDF Full Text Request
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