Automated Negotiation Based Supply-Demand Tradeing In Logistics Supply Chain With Sharing Platfrom

In recent years,the emerging of sharing economy theory and platform-based business models have inspired new development ideas and space for the problem solving of supply-demand collaboration and trading in Logistics Supply Chain(LSC).The open and free environment of Sharing Economy Platform(i.e.Sharing Platform,SP)is beneficial to the collaborative development and utilization of sources in LCS meanwhile leads the information of supply and demand being various and flexible,which has made the decision-making of enterprises in supply-demand trading more complicated.Moreover,the redundant management in traditional LSC,the resource shortage or idleness and the over investment,give rise to the conflicts occurring frequently between suppliers and demanders are difficult to be resolved effectively.Furthermore,the level of collaborative operation and optimal management of LSC is severely restricted.Therefore,based on the thorough analysis of supply-demand trading features in LSC with SP,it has great theoretical and practical significance to study how to resolve the conflicts between suppliers and demanders meanwhile improve the collaborative usage of the resources in LSC.Based on the extensive review on the theory of sharing economy,LSC management and automated negotiation etc.,the dissertation comprehensively analyzes the following problems:the supply-demand trading and matching,the collaborative optimization of multiple related supply-demand trading processes and the supply-demand trading with the cooperative offers of vertical enterprise alliance members in LSC.And by means of the theory and method of automated negotiation,the following critical problems are studied:(1)the one-to-one supply-demand trading in LSC.To improve an agent's abilities of estimating negotiation state and coping with the qualitative issues in a supply-demand trading negotiation,Hidden Markov Model(HMM)and Fuzzy Qualitative SIMulation(FQSIM)are integrated with automated negotiation theory,and the one-to-one supply-demand trading automated negotiation models are designed accordingly.The rationality and effectiveness of the proposed models are testified by simulation experiments.(2)the multiple supply-demand trade matching in LSC.Combining the theories of stable matching with automated negotiation,a systematic model of Stable Multilateral Automated Negotiation(SMAN)is designed by introducing the concept of Confidential Mediator Agent(CMA).The effectiveness of the proposed model is demonstrated and verified by mathematical proof and numerical simulation.(3)the collaborative decision-making of multiple related supply-demand trades in LSC.Considering the enterprises in LSC with SP may often make collaborative decisions for the process of multiple related parallel active trade negotiations,the multi-related automated negotiation model of LSC is designed with the classification and definition of issues in a negotiation,and then the effectiveness of the proposed model is illustrated by numerical simulation experiments.(4)the supply-demand trading with the cooperative offers of vertical enterprise alliance members in LSC.With respect to the structure and members relationship analysis of the vertical enterprise alliance,two automated negotiation models based on co-opetitive or cooperative games are designed by combing with game theory,team negotiation and automated negotiation.The effectiveness of the proposed models is proved and testified by deduction and numerical simulation.