Research On Supply Chain Scenario Modeling Based On Polymorphism

Economic trade is booming in nowadays society,and the information technology that represented by BIG DATA and IOT is changing rapidly,the supply chain management based on IOT technology has become a research hot spot.Polymorphic IOT has played a great role in the links of supply chain,how to effectively integrate the multi-source heterogeneity data is the key to efficient management of supply chain.The research aims at reducing the operating costs of related enterprises in the supply chain,and improving the intelligence,automation and efficiency of each link.Build the context-model of supply chain in combination with detailed context based on polymorphic IOT and the actual demand of supply chain management.Firstly,for resolving the problem that large data redundancy,and low information accuracy of multi-source heterogeneity data,improved the adaptive weighted algorithm to meet the actual demand of the fusion of supply chain data.Next,analyzed the various scenarios modeling theories,provided suitable context modeling steps for supply chain,and did a study on basic content of context modeling.Then,described the application of polymorphic IOT in supply chain briefly.Constructed the upper stage context ontology on the basis of analyzing the supply chain context and summarizing the existing context model.Finally,apply upper stage context ontology to the research of context-modeling and reasoning of production link of one-piece axle housing.The traditional context model is centered on human beings,but the supply chain context model centered on product,and focus on the state and situation of product,therefore,the research of this paper is very pioneering.The research of context modeling based on polymorphic IOT is the foundation for the intelligent and automatic development of supply chain,and it has important practical significance for supply chain management.