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Research On Evolutionary Game Of Supply Chain Information Sharing In Cloud Manufacturing Environment

Posted on:2022-09-25Degree:MasterType:Thesis
Country:ChinaCandidate:C R WangFull Text:PDF
GTID:2480306722992279Subject:Logistics Engineering
Abstract/Summary:PDF Full Text Request
In recent years,the scale of China's manufacturing industry has been expanding,and the international status and influence have been continuously improved.However,it still faces problems such as energy waste,inefficient resource allocation,and unreasonable industrial structure.With the development of advanced information technology such as cloud computing,cloud manufacturing mode emerges as the times require,providing new ideas for solving the above problems.The core and premise of cloud manufacturing lies in information sharing.However,enterprises are independent economies,which aim at maximizing their own income,so it is difficult to choose to share information on cloud platform under the new environment.Therefore,it has certain research value to study the game relationship of information sharing among supply chain members and the influencing factors of sharing intention in cloud manufacturing environment.According to the logic of literature combing and mechanism analysis,model solving and numerical simulation,conclusion induction and research prospect,this thesis systematically analyzes the game relationship between horizontal and vertical enterprises of supply chain network in cloud manufacturing environment.Firstly,this thesis reviews the relevant literature of cloud manufacturing and supply chain information sharing,summarizes the connotation of supply chain information sharing and the influence of cloud manufacturing on supply chain information sharing,and divides supply chain information sharing into two modes: manufacturer operation platform and third party organization operation platform according to the different operators.Secondly,the dynamic evolution process and stability of information sharing decision are analyzed based on evolutionary game theory,and the influence of some parameters on enterprise decision is simulated by MATLAB;Finally,by comparing and analyzing the application scenarios and advantages and disadvantages of the two models,the conclusion of this thesis is obtained.This thesis draws the following conclusions: Firstly,the cloud manufacturing brings great changes to the operation of the supply chain,the information transmission is more frequent across the supply chain,and the supply chain members no longer pursue long-term and stable cooperative relations,but flexibly enter and leave the supply chain according to their own situation.Secondly,in the cloud manufacturing environment,the willingness of enterprises to share information has nothing to do with the income of the original separate operation,the income that the other party can bring to itself and the initial decision of both parties,but is related to the original information level of the enterprise,the management ability of the platform,the value of the enterprise unit resource information and the cost of sharing information.Thirdly,when the benefits of participating in cloud manufacturing are greater than the costs incurred,supply chain members are able to achieve an equilibrium state of active participation in cloud manufacturing through continuous learning and imitation.Fourthly,the model of manufacturer operation platform is suitable for large-scale manufacturing enterprises with sufficient financial and technical support to achieve efficient matching with the best suppliers,but it distracts the attention of the core business due to the need to pay attention to the operation of the platform;the model of third-party organization operation platform is suitable for a wide range of small and medium-sized enterprises to enhance their comprehensive strength,but as a soft resource information sharer,manufacturers face greater information leakage risk.
Keywords/Search Tags:Cloud manufacturing, Supply chain, Information sharing, Evolutionary game
PDF Full Text Request
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