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Research On Networked Manufacturing Resources Optimizing Configuration

Posted on:2007-03-13Degree:DoctorType:Dissertation
Country:ChinaCandidate:C Y DongFull Text:PDF
GTID:1119360212967715Subject:Management Science and Engineering
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With the rapid development and wide use of information technology, network technology, and the Internet technology, networked manufacturing has become the most promising manufacturing mode in recent years. One of the cores and important objectives of networked manufacturing is the optimizing configuration of manufacturing resources. The research on Networked Manufacturing Resources Optimizing Configuration (NMROC) not only can enrich and develop the relevant theories and methods of advanced manufacturing mode and networked manufacturing, so to promote the development of pertinent subjects, and by implementing NMROC, as seen from the viewpoint of practicality, but also can realize the optimizing rearrangement of manufacturing resources in the whole society, so to enhance the efficiency of manufacturing resources and the whole benefit of manufacturing industry in our country.The dissertation deals with the optimizing configuration of manufacturing resources in the networked manufacturing environment. The research discusses in detail about the overall designing, mathematical modeling, key algorithms designing, and system realization. The main contents and achievements of the dissertation are as follows:(1) Two Levels Optimizing Strategy of NMROCThe two levels optimizing strategy of NMROC is proposed, namely the optimization of Physical Manufacturing Unit (PMU), and the simulating optimization of process and schedule. And the two phases optimization of PMU is brought forward, namely the selection of PMU's type, and the optimization of Executable Manufacturing Process (EMP).(2) Selection of PMU's TypeThe classifying and coding system of manufacturing characteristics basing on group technology is established. And the procedure of the selection of PMU's...
Keywords/Search Tags:Networked Manufacturing, Manufacturing Resources, Optimizing Configuration, Physical Manufacturing Unit, Executable Manufacturing Process, Genetic Algorithm, Multiple Objective Optimization, Process, Scheduling Simulation, Co-evolutionary
PDF Full Text Request
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