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A Study On The Location–Inventory Joint Optimization For The Distribution Center Using Joint Replenishment Policy

Posted on:2014-05-02Degree:MasterType:Thesis
Country:ChinaCandidate:F P YanFull Text:PDF
GTID:2309330452956112Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
As the development of the economy, the total production has gradually expanded.To solve the contradiction of high volume and less specification in production and smallsize and high diversification in consumption, distribution centers (DCs) came into being.Reasonable location of DCs plays an important role in saving circulating costs,promoting coordination and cooperation of production and consumption and ensuring thebalance of the logistics system. This thesis discussed the two-stage distribution centerlocation model and three-stage location-inventory model which based on the jointreplenishment policy and then designed algorithm to solve the proposed models.Firstly, according to the difficulties of solving the modeling problem, the thesisanalyzed a differential evolution algorithm and an improved Adaptive Hybrid Evolution(AHDE). Then the advantages of the AHDE were illustrated from both theoretical andpractical. Secondly, a two-stage distribution center location model was designed and theAHDE-based solution was proposed. An example and its extension were presented toverify the feasibility and efficiency of the proposed AHDE. Finally, a location-inventorymodel was studied for the distribution center using the joint replenishment policy in asupply chain. In this model, the DCs can adopt joint replenishment policy which canresult in considerable cost savings. The AHDE was utilized to solve this model. Resultsof an example and sensitivity analysis provide useful managerial insights. At the sametime, the efficiency and stability of AHDE were verified through solving the extensionexamples.
Keywords/Search Tags:Joint replenishment, Distribution center location, Adaptive hybrid, differential evolution algorithm, Supply chain collaboration
PDF Full Text Request
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