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Research On The Carbon Emissions Optimal Decision Of Supply Chain Under The Restriction Of Carbon Quotas

Posted on:2016-03-17Degree:MasterType:Thesis
Country:ChinaCandidate:L Y HuangFull Text:PDF
GTID:2321330536487123Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
In recent years,the frequent appearance of extreme weather caused great importance of people to environmental issues.States are struggling to find a balance between environmental protection and economic development,and carbon dioxide as the most emissions of greenhouse gas caused people's attention.China as the world's largest energy consumer,the development of low-carbon economy is an inevitable choice.Under the government's strong advocacy and vigorous advocacy,the low-carbon environmental awareness of consumers are enhanced day by day,followed by the demand for low-carbon products gradually increased and willingness to pay higher prices for more environmentally friendly products is growing.Manufacturing enterprises want to achieve a low-carbon emission reduction targets,and to achieve sustainable profitability,they will reconsider and optimize the product structure,increasing the development of low-carbon products.Enterprises want to find a balance between low-carbon investment preferences and cost reduction,they need to make right choices about reduce emissions levels of low-carbon products and price.From the existing literature,the research on low-carbon environment,business operations and supply chain coordination is already a lot,most of the literature are under different carbon emissions policy,from a macro perspective to explore how to coordinate the business operations and supply chain decisions coordination mechanism.Now,from the micro perspective of analysis on low-carbon supply chain is still in its infancy and the development stage,how to build the system more in line with the actual close to low-carbon supply chain model system,which is the direction of future research of low-carbon supply chain.Review from abroad can be seen most studies have focused on simple supply chain,and research on low-carbon consumer awareness is limited.Based on the previous foundation of low-carbon supply chain structure model,taking consumer awareness of low carbon emissions into account and studying the impact of of the supply chain optimal decisions.Meanwhile,the papers will take both the manufacturer's product competitive behavior and retailer competitive behavior to the scope of this study,from the network perspective to build three different supply chain structures for different industries to explore low-carbon supply chain background reduction optimal decision.Analyzed under three different supply chain network structure dynamic supply chain participants,more realistic.In this paper,the main use of game theory,optimization theory,the theory of marginal analysis,linear programming and other methods to build low-carbon emission reduction backdrop manufacturers optimal decision-making modeland dynamic participants in decision analysis.Analyzing the dynamic of supply chain participants of under three different supply chain network structure is more realistic.In this paper,main using game theory,optimization theory,the theory of marginal analysis,linear programming and other methods to build low-carbon emission reduction backdrop manufacturers optimal decision-making model and analyzing the dynamic of participants.In this paper,the optimal reduction decision model was constructed for different industries,studying the game of retailers and manufacturers on the price mechanism and the level of emission reductions.Taken competition in production,retail competition and the consumer awareness of low-carbon environmental protection into the study at the same time,analysis of the dynamic of participants of different supply chain structure is more closing to reality.
Keywords/Search Tags:the optimal decisions of emissions, low carbon environmental awareness of consumers, the product competition, the retailer competition
PDF Full Text Request
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