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Characteristics Of Wood Consumption Structure And Oriented Research Of Wood Logistics In Fujian

Posted on:2013-02-19Degree:MasterType:Thesis
Country:ChinaCandidate:S LinFull Text:PDF
GTID:2219330374462760Subject:Forest management
Abstract/Summary:PDF Full Text Request
Our country is not only deficient in forest resources, moreover, there is a huge gap betweendemand and supply of timber resources for a long time, in order to solve contradictions betweenthe production(regional and seasonal),the demand(dispersive and necessary) and the time(supplyand demand of wood), the huge logistics quantity which due to contradiction must be convertedinto economic benefits and forestry enterprises must be developed for improving its owneconomic benefits.This project is to research the development rules of wood consumption structure, and therelationship between wood consumption structure and forestry industrial structure. In addition,forecasting the proportion of wood structure consumption when the future market reach steadystate in Fujian province through the construction of the wood consumption structure model and thevariation of consumption structure coefficient along with the Markov chain method. This papertakes the forest resources consumption of Fujian province from2001years to2009years as anexample, classifies the gross output of forest resources by structure of flowing and consumptionand analyses the demand and output structure of forest resources in market of Fujian provincedeeply, then constructs the basic data by means of converting demand and output structure tostandard wood-consumption structure quantitatively, so this paper could show the relationshipbetween the amount and proportion of the wood-resources consumption and do analyses for themarket consumption of forestry enterprises. This research is the first to propose applying themanagement and technology of modern-logistics enterprises which combine with GWSCM-RL totraditional forestry enterprises by using wood logistics theory. Take JianYang in Fujian provinceas research object, in addition, analyses the amount of forest product within a quarter and convertit into the gross wood-consumption of standard structure by using the method of woodconsumption structure, then base on this data, the establish of comprehensive wood logisticsdistribution center could be stimulated. Finally, this paper forecasts the safety stock-points inwood-logistics distribution center by using three methods which are the local linear regression,N-W nuclear regression estimation and inventory control strategy (only one repair-period),moreover, works out the security order-period of wood-logistics distribution center.Results show that, in order to turn the major wood consumption from wooden chopsticks inthe category of wood ware to the processing industry of paper and artificial slabs, optimizations offorestry industry structure and reassignment of wood resource has been executed by Fujianprovince from2001to2009. On the condition that no grave accident happens, Markov predictionshowed that the four major parts of the wood consumption, logs, artificial slabs, wood wares andpaper, account for30.48%,14.51,31.65%, and23.36%of the wood consumption structure,respectively when the market advances to the stable state on its current path. It's referential foradjusting the wood consumption structure in Fujian province. Results of the research takenJianYang as sample were: in the local linear regression estimation: x0=73days, in the N-W kernel regression estimation: x1=76days, and in the inventory control strategy with single reconstructionphase: T*=72days.It's inferred that local linear regression estimation performs better than theother two approaches, no matter from the aspect of the graphics fluctuation extent, practicalprediction, or the number of the parameter of the model. This approach may provide more precisesafety stock points to draft lumber inventory strategy, optimize figures in the strategy, establishsuitable managing plans, minimize the logistics cost, and provide objective theoretical bases forintelligent management of the inventory of distribution center.
Keywords/Search Tags:Wood consumption structure, Wood logistics, Local Linear Regression model, green wood supply chain management-reverse logistics (GWSCM-RL)
PDF Full Text Request
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