Research On Key Techniques For Network And Public Service Platform Of Business-related Multi-industrial Chains Collaboration

With development of economic globalization and social division, the business collaboration among enterprises which presents the large-scale, multi-objective, multi-role and multi-level feature, is more increasingly close. Competition among enterprises has developed into competition among industrial chains and industrial chain collaboration mode has gradually expanded to inter-collaboration and common development among business-related multi-industrial chains from single-chain mode among leading enterprises. Meanwhile, the enterprises, which in order to adapt to the rapid market changes and new demands of market competition, need to update their business processes and business mode. The business processes updating and business mode changing are supported by corresponding information systems, which enable enterprises to further enhance rapid response capability and competitiveness. The new information system constructed to adapt to new business and new process must be able to quickly build and implement on demand. Public service platform supporting flexible business collaboration among enterprises is undoubtedly an important means of small and medium enterprises information. Therefore, the study on model and feature of business-related multi-industrial chains collaborative network and public service platform supporting flexible business collaboration among business-related multi-industrial chains have great significance aiming at new industrial collaboration mode:business-related multi-industrial chains collaboration.The theory, methods and key techniques are researched, including model and model evolutionary algorithm of business-related multi-industrial chains collaborative network, model and architecture of public service platform supporting flexible business collaboration among business-related multi-industrial chains, evaluation and selective preference model of industrial chain collaboration alliance members, authentication method and data security of public service platform. Research works in this dissertation are partial supported by the National High-Tech Research and Development Plan of China:the development and application of the information platform for business-related small-medium enterprise group (No.2009AA043501) and the development and application of collaboration services integration platform for group enterprise (No.2007AA04Z188), which mainly concentrates on the follwing several aspects, i.e.(1) Aiming at collaboration mode for business-related multi-industrial chains, the business-related multi-industrial chains collaborative network is proposed and its mathematical model is established, which not only takes into account the number of neighboring nodes (ie. node degree) and the edge weighted between the nodes and its neighbors, but also capability of the node itself, and better reflects the actual network. Characteristics of business-related multi-industrial chains collaborative network are analyzed. Considering following factors including node community characteristics, two-way preference selection mechanism among modes and the demise of the relationship among nodes, the model evolutionary algorithm for business-related multi-industrial chains collaborative network is put forward based on complex networks theory. The nodes strength distribution and the nodes important degree of business-related multi-industrial chains collaborative network in automotive are analyzed using networks model and model evolutionary algorithm of business-related multi-industrial chains collaborative network.(2) To build flexible public service platform for business-related multi-industrial chains collaboration, a flexible public service platform model is proposed, which include platform construction model base on business decomposing, business modeling, component modeling, component integrating and platform integration model base on component. Based on the platform model, the public service platform architecture based on software integration bus and software component for business-related multi-industrial chain collaborating is designed, which is made up of common components, basic business components, special business components and software bus. The plug and play relation between the component and the platform is realized by component registered, component released and component authorized on platform software bus. So the plug and play relation between the information systems of industrial chain collaboration and the platform is achieved, and the platform scalability and business collaboration flexibility are realized. The research results have been applied to automobile & engine industrial chain collaborative public service platform development and implementation. The research results showed that the model and architecture proposed in the dissertation, which support information requirements for business changing, is practicable.(3) Theory and application research of the evaluation and selective preference method of industrial chain collaboration alliance members are studied based on matter-element. The evaluation and selective preference model is constructed, which converted the contradictions into the compatibility problems. Comprehensive evaluation is conducted by using correlation function and closeness degree function. Based on extension theory, the evaluation result of industrial chain collaboration alliance members is divided into three categories:positive domain, negative domain and extension domain. The method proposed in the dissertation not only can evaluate the nuances difference among programs and has higher accuracy, but also can evaluate things from perspective of changing. Finally, the two-stage evaluation and selective preference algorithm of industrial chain collaboration alliance members based on matter-analysis is designed. In addition, the study corrects some errors of the previous studies on matter-element analysis application in the comprehensive evaluation field, and the relevant theoretical studies are carried out.(4) Aiming at public service platform features of business-related multi-industrial chains collaboration, open feature of web-based application and authentication password confidentiality requirements in process of input and network transmission, soft input model based on double random input unit is put forward. One time password authentication method of public service platform of business-related multi-industrial chains collaboration is designed and implemented based on double random soft input model. The core of this method is:when the user need to input authentication password, the authentication server dynamically generates double random input soft keyboard, the interface layout of soft keyboard generated with time stamp affixed by the authentication server each time is random, and its interface to the corresponding input character is also random. The study results showed that based on this method, the password entered in client and password transmitted over the network are mapped to several groups of different random string each time without any computing in client, effectively solves some password authentication problems including the capture/replay attack, memory and input intercepted assault, and provides a new approach for web-based application authentication(5) Aiming at data security requirements of public service platform of business-related multi-industrial chains which is developed and operated by third-party, the data security solutions of public service platform of business-related multi-industrial chains(BMCCP_DSS) are designed based on data encryption technologies, hash technologies, digital signature technologies and web service technologies, which has feature of data bank. The related algorithms of data security of public service platform are designed and implemented, which include submission and signature algorithm for business collaboration documents, signature verification algorithm for business collaboration documents, decryption algorithm for encrypting sensitive fields in business collaboration documents (ie. documents display algorithm in the platform client) and update algorithm for business collaboration documents. The research results showed that the solutions proposed in this dissertation implement data stored confidentiality in third-party, transmission confidentiality, data integrity, non-repudiation of sending, anti-replay attacks and other data security issues, and that the solutions have the following feature, implementing simply, high security and practicable.(6) Taking the automobile & engine industrial chain collaborative public service platform for sample, the validity of the researching result in this dissertation is verified.