Research On Multi-Alliance Enterprises Swarm For Collaborative Technology Based On Cloud Service Platform

With the further deepen of economic globalization, service and manufacture are gradually interpenetration and integration. From the "production-oriented manufacturing" evolved into "service-oriented manufacturing" has become the major tendency of development. The manufacturing enterprises gradually evolves to the tendency of swarming and coordination with the deepening degree of specialization and societal cooperation, and the traditional individual enterprises competition has gradually risen to the competition between industrial chain enterprise group. To realize the strategic values that the individual enterprise can not be achieved and enhance the individual competitiveness of all companies within the alliance, as leading industry chain enterprises to launch upstream and downstream business collaboration of dynamic alliance model, which has increasingly become an important means for enterprises to participate in market competition and cooperation by optimizing multi resource and integrating competitive advantage of wide area spatial range. Due to the investment and operation cost, professional services and many other aspects of the advantages, the third-party public platform based on SaaS has become the first choice of informatization construction for enhancing integral collaboration capabilities and solving medium-sized enterprises in alliance.Combining with the national key-tech R&D program and the national high-tech R&D program(863 program), this dissertation researches on the cloud services platform related key theory, method and technology for supporting multi-alliance enterprises swarm centralized management and industry chain collaboration. The main aspects are as follows:(1)Aiming at the large-scale and complexity of the service problem in the core enterprises with suppliers, vendors, service providers, logistics enterprises five kinds of automobile industry chain collaboration, this dissertation combines with the demand and connotation for multi-alliance enterprises swarm in industry chain collaboration service, puts forward the overall solution for supporting multi-alliance enterprises coordination in cloud service platform based on SaaS of third party service mode. Based on the demonstration of reasonable and effective solution, it emulates and realizes the cooperative service effect for multi-alliance in cloud services platform. To solve the problem within a wide space co-manufacturing services to multiple alliances of cloud services platform, it provides a theoretical and technical application support.(2)Aiming at the cooperative relationship between multi-alliance enterprises swarm in the cloud services platform in the concentration of demand, this dissertation analyzes the control mechanism of alliance enterprise swarm in the industry chain collaboration process, gives a dynamic scalable access control scheme for multi-level and sub-system. Aiming at the control system at all levels of semantic relations based on this scheme, it uses multidimensional Boolean matrix and related graph algorithm, which builds the complex access control model based on multi-level control system and realizes the simulation for control model. It solves the dynamic authorization problem of the main application level and the complex resource access system in large-scale cloud collaboration system, which enhances the cloud services platform to support multi-alliance enterprises co-management and resource access control ability.(3)Aiming at the performance appraisal for the core enterprise to the upstream and downstream collaborative enterprises swarm in the cloud service platform, this dissertation gives the general assessment solution for multi-enterprise alliances and multi-cooperation types. By adopting the data range and data value of two different quantization mode, it establishes multistage reverse general appraisal index system and solves the problem of cloud services platform in the extraction of mixed qualitative and quantitative index in data source. According to dependence and feedback relationship of these indicators at each level, this dissertation presents a method to calculate the index. this dissertation designs the transformation model for assessment index system in multi-alliance, and discusses the specific algorithm and implementation of the appraisal system by empirical analysis. It not only supportes multi-cooperation types appraisal service for multi-alliance, but also solves the performance appraisal management and optimization needs in cloud service platform.(4)Combined with the business integrating demands of cross alliance cooperation for the upstream and downstream enterprises in cloud service environment, this dissertation establishes the multi-alliance enterprise swarm service interaction model, process refinement and decomposition model, business process integration model. Taking the orders interaction with main business process integration for the research object, it gives the integration scheme for orders interactive business based on SaaS cloud service platform. It establishes the business integration model based on multi-level orders mapping tree and uses the flexibility of dynamically configurable interface mode, which provides a set of mutual transformation and self-transformation maintenance orders mapping database for multi-alliance enterprises swarm. By the integration algorithm of mapping transformation, it solves the orders interactive business with integration needs of different alliance enterprises swarm in the cloud services platform.(5)Aiming at the demand for information exchange among the alliance enterprises swarm in the cloud service environment, this dissertation gives the solution for dynamic data exchange based on cloud services platform. By researching on the multi-source heterogeneous and remote distributed bidirectional data exchange for the multi-alliance enterprises swarm, this dissertation designes the dynamic data exchange framework of Web Services based on dual XML associated configuration mode and gives the data exchange protocol of each composition system. It analyzes for synchronization and consistency problems of the data exchange process, and through the algorithm gives the processing method for cascade coupling relationship between the data exchange entity, which transformes the interconnection relationship of upstream and downstream in multi-alliance enterprises swarm into the interflow relationship of the industry chain cooperative service.(6)Based on the above research results, this dissertation gives the supporting for multi-alliance enterprises swarm management, data exchange and other related technologies in the cloud service platform design, practice and application of the promotion situation. Finally, from the perspective of platform sustainable development, it designes the operating and protecting system for supporting multi-alliance enterprises cooperative service.