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Chain of logistics path selection problem

Author: LiuYaFei
Tutor: WuLiangGang
School: Central South University
Course: Management Science and Engineering
Keywords: Chain Logistics Vehicle routing problem with time windows Genetic Algorithms
CLC: F224
Type: Master's thesis
Year: 2004
Downloads: 788
Quote: 3
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Abstract


Chain management is an effective method to improve the ability of the retail business , has a history of 100 years , is generally successful retail business methods and organizational forms in the developed countries . Logistics is a necessary condition for achieving chain operations , it is connected with the sales and purchases of goods chain , to ensure the normal flow of the commodity chain enterprises , grassroots chains normal sales activities , to meet the demand of the market . As the majority of our business in the arrangements for the distribution operations in their by experience phase , in order to improve the performance of the distribution work efficiency and reducing distribution costs , it is necessary to study how to make the number of commodity distribution scientific , the commodity distribution route optimization and commodity stowage rationalization . This paper chain logistics and distribution business presentation and analysis , consider a multi- distribution centers , a variety of vehicles , vehicle load limits , return , time window constraints limit the factors of the urban distribution center chain logistics cost decision model as well as the chain logistics multiple distribution centers in the area of cost decision-making model . Previous model adaptive hybrid genetic algorithm solving Matlab6.5 environment , achieved good results ; latter model is the first to be expanded on the basis of a model , the use of three- stage solution strategy and authors proposed adaptive hybrid genetic algorithm . Genetic algorithm solving strategies , distribution route using the intuitive natural number chromosome coding scheme proposed optimal retention worst out and climbing method of portfolio strategy and adaptive crossover and mutation probability with the evolution of generations improvements adaptive crossover probability and mutation probability , and proved its effectiveness . The basis of multi- distribution center vehicle routing problem is solved in the usual two-stage , three-stage solution strategy adding partial adjustment of critical nodes .

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CLC: > Economic > Economic planning and management > Economic calculation, economic and mathematical methods > Economic and mathematical methods
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