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Research On Information Coordination And The Application Of Agent In Supply Chain

Posted on:2017-10-16Degree:MasterType:Thesis
Country:ChinaCandidate:X Y TaoFull Text:PDF
GTID:2349330488489529Subject:Transportation planning and management
Abstract/Summary:PDF Full Text Request
Supply chain coordination problem is an effective means to improve the overall benefits and solve contradictions and conflicts of interest among supply chain member enterprises.This article take manufacturing industry as an example to research information of supply chain coordination problems,mainly through the analysis on the information sharing between suppliers,manufacturers,retailers coordination before and after the net quantity,service level and inventory differences,highlighting the importance of the information coordination on solving the problem in the supply chain.The implementation of supply chain information coordination can not only improve the benefits of supply chain,but also increase the flexibility of supply chain and realize fair principle under the optimum overall benefit.First of all,I will analysis the coordination problem of supply chain information,the cause of information coordination and information coordination of value in detail in this paper.Analogical the relationship between information sharing and information coordination,and realizing that information sharing is the premise and foundation to realize supply chain information coordination.And the Agent theory is introduced in the information coordination of supply chain,I analyses the correlation between supply chain system and Multi-Agent system on the structure and function,then put forward the method of using Multi-Agent to solve the problem of information of supply chain coordination.Secondly,I will establish a manufacturing information coordination framework and information sharing value model.To analyze the information in the manufacturing supply chain coordination problem and the kinds of information that can be shared.To set up the information sharing value model,mainly through the analysis of the supplier share its output order decision-making information for manufacturers,the influence of the net inventory and service level,and analyze impact on the value of information sharing by using the method of partial derivative of the supplier's delivery lead time,service level,order,demand at different time.Thirdly,the information of supply chain coordination incentive mechanism model is established.Due to the conflicts and contradictions between the supply chain members,members are difficult to share their part or all of the information for their own sake,and they establish information coordination incentive mechanism for the extra profit from information sharing on a redistribution.By analyzing the main influencing factors in the information coordination,I design an incentive mechanism model of the information coordination to redistribute value-added income,in the original incentive coefficient model on the basis of the introduction of other members of the supply chain enterprises evaluation factor,and information system construction of mass reward boost the enthusiasm of the members of thesupply chain enterprise information sharing,and the rationality of the profit distribution,in order to achieve better information coordination foundation.Finally,with the help of the simulation platform Repast,I research the information coordination of supply chain model for the simulation.Dividing manufacturing supply chain into concrete structure Agent and function Agent,apply decision-making function,behavior knowledge and algorithm design to the individual Agent.By analyzing the suppliers,manufacturers,retailers,sharing demand information,availability information,inventory information,lead time and production capacity of information quantity and net inventory before and after difference to verify the information coordination and sharing to enhance and improve the overall performance of the supply chain.
Keywords/Search Tags:Multi-Agent, Information Coordination, the Value of Information, Incentive Mechanism, Repast
PDF Full Text Request
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