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The Studying On Storage Space Optimization Model And Algorithms

Posted on:2007-11-11Degree:MasterType:Thesis
Country:ChinaCandidate:X Z DongFull Text:PDF
GTID:2189360212966945Subject:Transportation planning and management
Abstract/Summary:
With the world economics integrating and the modern science developing, the modern logistics is deemed to"The third Profit Headspring", except reducing resources consumption and improving labor productivity. Enhanced the logistic efficiency becomes the key of economy research. Under this environment, storage which is the important part of logistics, are paid more and more attention by people. How enhances the efficiency in storage management, has become a modern economy research hot topic.In our country, stores management in unloading a vehicle inspects goods, going into storage management, going out storage management, the stock management and so on, develops not balanced. Unloading a vehicle inspects goods, going out storage management, the stock management has already achieved the quite advanced level, but going into storage quite to be actually chaotic. Current about 80% match center or the warehouse, when goes into storage, the management cannot carry on the correct optimal storage space. These warehouses only can rely on administrative personnel's experience to choose the storage space, places the goods, causes the management efficiency in go into storage to be low. Therefore, solving the storage space optimization question in going into storage, imperative.This article has summarized existing storage space optimization achievement, analyzed the existing storage space optimization model characteristic, established the storage space optimization model which suited our country national condition. This model provides the technical support for the storage space optimization question in going into storage.
Keywords/Search Tags:storage space, optimization model, genetic algorithms
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