Font Size: a A A

Electronic Equipment Reverse Logistics Recycling Forecast And Reverse Logistics Cycle Time And Cost Improvement

Posted on:2013-06-11Degree:MasterType:Thesis
Country:ChinaCandidate:C Y JiangFull Text:PDF
GTID:2249330392452910Subject:Business Administration
Abstract/Summary:PDF Full Text Request
Now people are most concerned about environmental degradation and resourceshortage. This is because the environment and resource is not only the basicconditions for sustainable social development,but also related to human survival anddevelopment.In the rapid economic development of today,the shortage of resourceshas become the consensus of the world. The price of raw material rising up,thescarce and limited resource have been shown up.As product is replaced faster and theproduct life cycle is shortened,the consumption of human is increased and the wasteproducts grow exponentially.The problem of environmental pollution caused bywaste products has become a new focus of global concern,in which the growth rateof e-waste aroused great attention in particular.According to authoritative statistics,by the end of2010, China has230million tons of e-waste, after the United States,which have300million tons, ranking second in the world。This e-waste is a hugesource of pollution, which produced500million tons of dangerous toxic substancesannually.Under these backgrounds, this paper has introduced and analyzed the relatedconceptions and basic theory of reverse logistics. Besides, the paper emphasizes onreverse logistics prediction problem and the selection of our business model inreverse logistics.This paper describes a full reverse logistics management practices of CompanyC. Company C rethink the reverse logistics as a profit center rather than a cost center.To dig the residual value of returns high-efficiently,Company C creates demand forthe returns. To protect the environment and to be the best corporate citizen whichtakes full responsibility for environment, company C carry out a full range of reverselogistics. It has a total of nine kinds of reverse logistics channels for recycling a widerange of products.The uncertainty quantity is one of the difficulties of reverse logistics. This paperuses gray model prediction, linear regression, time series of three forecasting methodsto predict the quantity of reverse logistics recycling.Company C chose to set themselves up as the reverse logistics network, butChina’s enterprises must select the appropriate reverse logistics model according to the actual situation。The paper describes the reverse logistics choice decision-makingflowchart.Finally, the paper has a summarization on the researching work,analyzing theproblems and shortcomings, giving a series of vistas to the future direction ofresearch. All the above suggestion and research about reverse logistic can be referredfor the enterprise.
Keywords/Search Tags:Reverse Logistic, Gray Model, Linear Regression, Time Series
PDF Full Text Request
Related items