Research And Development Of Cloud Logistics Service Platform Based On Bilateral Resource Integration

City logistics distribution is an important part of city logistics. And its development is of great significance in meeting the needs of city logistics and promoting the conservation and rational utilization of logistics resources. With the rapid development of e-commerce, logistics distribution demands range from individuals and enterprises to online retailers gradually, and logistics services with high quality and meet the individual needs become the first choice of demand-side at the same time. For logistics providers, strategic cooperation, self advantages and value-added services are becoming the key to attracting customers. Under the circumstance of large number of customers and logistic providers, in order to provide customers with personalized logistics services and enhance the quality of logistics services, there are several problems to be faced with: how to integrate bilateral resources effectively, how to set up the relationship between logistics demand-side and providers and how to make full use of advantages of logistics providers which are also the main obstacles to the development of modern city logistics distribution.The paper chooses logistics public platform as the research object, accompanied with demand analysis, design, implementation and testing. In addition, after the logistics resources integration, the paper studies the cloud logistics mode and the personalized logistics service of the platform. After the logistics services integration,the paper applies the interoperable technologies. This paper studies on the following aspects:Firstly, demand analysis of the platform. The paper defined a cloud logistics mode based on BIRIS, divided the platform into three parts and settled the functional and non functional requirements, core businesses and workflows of the platform.Secondly, research on personalized logistics service based on bilateral resource integration. A new personalized logistics service process was proposed. And according to this, the personalized freight demand description model of customer, the description model of logistics resources and the concept tree of logistics resources were established in order to unified the descriptions between customers and resources. By reading the explicit freight demands of customers and mining the implicit association rules of logistics resources, the paper solved the problem of logistics resources matching which supports customers’ personalized requirements and resources’ association rules, then the optimal selection of logistics resources was realized.Thirdly, application research on integration and interoperability of the platform.Based on the application requirements, the paper realized the call of Taobao API andthe docking between our platform and e-commerce platform was available. In addition,the paper applied the exchange method between heterogeneous data based on XML Schema and ontology of logistics and improved its semantic annotation algorithm which had passed the feasibility analysis. Then the docking between our platform and outside systems was available. The applications and improvements of these methods enhanced the efficiency and accuracy of interoperability on the platform.Fourthly, design of the platform. According to the idea of software engineering design, the paper designed the architecture, components, functions and database of the platform.Finally, implementation and testing of the platform. After settling the development environment, the paper described the implementation of functions in detail accompanied by methods, interfaces or codes. At last, the platform was tested with a list of test cases to ensure its performance.