Study On Some Optimization Problems About Location And Distribution Of Supply Chain In Agriculture

Recent years,with the process that we became a member of WTO and thedevelopment of the agricultural production in our country,agriculturalproducts in development countrys approach the market of ourcountry.Agricultural development in our country has step into a new stage whichwe need to husband and improve the setting of the constituents we have putin the agriculture ,so our country cries for the the realization of themodernization agriculture.Whereas this process requires leading new supplychain ideas and its management into the areas of the agriculture. It canreinforce the competitive of the agricultural market,augment farmer's income,speed up modernization of our agricultural.Supply chain in agriculture hasbecoming one of the major industries in our economic development,which leadsto our new point of economic growth,and its optimization study springs uprapidly.How to optimize the supply chain in agriculture,and raise thelogisticsefficiency of the agriculture products, increase profits asthe most importantresearch subject.Elaborating on the knowledge of the supply chain in agriculture and itsoptimization,this paper attempts to take location and delivery as the two coreproblem for further research from the models and approaches.After that,on account of keeping the varity of the population,meanwhile,improving the abilities of the local research, we rise a modified niche geneticsimulated annealing algorithm(SNGA) based on simple niche genetic algorithm.The notion of supply chain in agriculture and logistics centers areintroduced first in this paper,then from view of modern logistics,we analysethe effect of developing supply chain management in agricultre on logisticscenters function design and location,after that wediscuss the fundamentalprinciples of location and delivery decision,and still further generalizemodels and approachs of the logistics centers location and delivery.On logistics centers location problem,concerning the decaying characterof agricultural products and the cost of transportation,fixed investment ,management ,demaged agriculture products, we set up a model with the virtueof being practical,then the availability of model is illustrated with apractical exampleby genetic algorithms, which overcomes some shortcomings and incarnatesthe more objective process.On delivery problem,we introduce the models of the TSP(Traveling SalesmanProblem),VRP(Vehicle routing problem).On account of NP-hardproblems,whenpeople rise a new optimized algorithms,they alwayse inspect it with the TSP.Theexample about TSP of 48 cities shows thatkeeping more varities of thepopulation and ability of local search comparing SGA (Simple Genetic Algorithm)and SA (Simulated Anneling Algorithm),and still further after solving theVRP with time windows by the modified algorithm and comparing with SGA ahd2-opt SGA,the performance of the ability to sovling problems has been greatlyimproved.At the end of this paper,some aspects which can be improved by furtherstudy are advanced.