| Service-oriented manufacturing is a new trend of global manufacturing industry. It is also an important development path and strategic choice for transformation and upgrading of China manufacturing industry and the tilt of national economy to tertiary industry in the next couple of years. As an important tool for supporting operation management of the new manufacturing mode, information systems with dynamic adaptability and robustness, are a good guarantee and also a premises condition for the realization of service-oriented manufacturing mode, which is one of the scientific problems crying for solution in the process of strategic transformation. Industrial circles usually take action of IT resources input to achieve the alignment between informatization level and environment, such as purchasing application systems, designing functional systems, innovating IT technologies, and constructing information infrastructures. But for too much attention to stage performances under static demand situation, the effect of input-output is not obvious. Most of the existing researches paid more attention to system functions’ implementation from software engineering perspective, e.g. designing partial static structure, and collaboration and information sharing in the process of manufacturing services, and ignored the importance and dynamic variation of environmental element. Therefore, studying information system needs us to change the research perspective from "existence" to "evolution".Static thinking of local research is difficult to grasp the overall information system and dynamic development trend of its application process. And the stiffness of mechanical theory and one-way analysis of micro reductionism are also difficult to explain the complex characteristics in the evolution process of complex information system. As such, we need a new theory and paradigm to study information system. In recent years, the rise of complexity science methods provides us with a new effective methodology. Based on the fact that information system is a complex system, integrating the essences of complexity science, ecology and evolution theory into the related researches on information systems, not only enriches the theoretical methodologies and perspectives of information system research, but also extends the application scope of complexity method in the field of management. From the micro and macro perspectives, this paper had in-depth discussions on evolution mechanism of service-oriented information system and dynamic characteristics such as self-organizing, evolution stability and robustness, which are more concerned by industry circles. Around this theme, the main work and contributions of this thesis can be summarized as follows:(1) Research on framework and operating mechanism of SMEIS. Much attention has been paid to the technical issues, such as synergy, local function implementation and software framework design. Researches from management perspective remain weak, so it is necessary to have a basic theory construction for SMEIS firstly. With operational requirements of service-oriented manufacturing mode, it analyzed the new function and performance requirements of SMEIS based on business activity types of manufacturing service process. Then it anatomized the logical interaction relationships and constructed the abstract hierarchical structure for SMEIS. After analyzing the hypostatic operation process of a typical SMEIS, it proposed a tailorable and universal applicability function model based on multi-agent and lastly had a theoretical research on the major mechanisms. Framework research is the basis for the construction of evolution logic framework, and operating mechanism research can provide a micro-level cognition and comprehension of self-organizing evolution mechanism.(2) Research on the evolution mechanism of SMEIS based on idality. Considering the research limitations with quality and cost as the order parameter, and explaining the complex characteristics in the evolution of complex systems with qualitative method, it cited and analyzed the universality of ideality as the orader parameter. Based on the analysis of major evolution motivating factors and evolution logic framework, it presented a self-organizing dynamic model with ideality as the order parameter, and had a quantitative discussion about evolution direction and speed, condition for system into the chaotic region, and how stochastic fluctuation influence on evolution process. The findings verfiy that SMEIS meets the evolution characteristics of typical complex systems, which are respectively the abrupt change and graducal change process and the negative effect on new order state of stochastic fluctuation, and simultaneously point out that there are two chaotic regions in the evolution process.(3) Analysis on the influence of IT resource investment on evolution stability of SMEIS. Different from more attentions on emprirical studying of IT resources and operational performance, and also considering resource investment with controllers’ decision-making paradigm of past experiences, it focus on the selction of key state variables and the discussion of the relation mechnasim between IT resource investment and system evolution stability, which can offer reference frame for practical decision. Thourgh analyzing the specific relation of key state variables, it established the evolution model with IT resource investment as the control variable, and responsiveness, profitability and structural complexity as the state variables based on metaphorical approach and Logistic equation, then respectively quoted from Lyapounov indirect method and adiabatic approximation in analyzing the impact of IT resource investment on system evolution stability and state variable’ evolution process. Lastly it confirmed the threshold condition of IT resource investment for system’s co-evolution.(4) Research on the structure evolution and robustness of SMNIS from macro perspective. 1) Based on the anatomy of relationship between SMNIS and SMN, it analyzed the consistency of macro structure evolution mechanism between the two. For a start, the anlaysis of structre evolution needed the congnition of its connotation and compostion. And then analyzed the key influencing factors of structure evolution combining with the structure characteristics of different evolution stage and discussed the evolution paths based on proportion change of service element and product element. Lastly explained and verified the scale-free degree and clustering phenomenon with the derivation of change rate of node degree and a simulation example, which indicated that its evolution mechanism was more general and unvisersal than general scale-free network; 2) in allusion to the single nature of discusions about cooperation uncertainty from micro persperctive, it had a deep anatomy the concrete performances with the two viewpoints, which were relazation of information system function and performance and the cooperation management mechanism. And then discussed the impact of cooperation uncertainty on the robustness of SMNIS by a simulation example after constructing the robustness metrics aligned with the properties.The researches and its results presented above are not only the innovative attempt of complexity science method in the field of management information system research, but also enrich and improve the studing system of service-oriented manufacturing information system. All of these have important theoretical innovation and application guiding value on construction of enterprise information system, effective location of enterprise informatization level, IT resources investment, robust operation management and service network planning.
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