Subject The article addresses the methods for streamlining the configuration of enterprise network structure that enable to customize the value chain to maximize the success rate of joint projects aimed at innovative product creation. Objectives The purpose of this study is to develop methods and tools for intelligent support to decision-making in enterprise engineering to optimize the configuration of network structures. Methods The study rests on methodological approach to justifying the decisions in the conditions of initial data shortage and incompleteness. It is based on soft models and serves as an alternative to traditional decision-making methods described by other authors. This approach combines the use of fuzzy sets and expert judgment. The development of the methodology and tools for making strategic decisions relies on fuzzy sets application. Results We developed methods and tools for enterprise engineering based on intelligent decision-making technologies and multi-agent systems. The paper presents tools for streamlining the configuration of enterprise network structure. It proves that it is possible to increase the efficiency of interaction between enterprises united by common goals through using the services that enable to find information about enterprise potential partners. The findings are useful for optimization of enterprise network structures based on multi-agent technologies and formalization of roles of main agents of the value chain for a network-based business model. Conclusions If introduced, the findings will enable enterprises to increase competitiveness and efficiency. The novelty of the research is the use of multi-agent technology. It helps rapid adaptation of enterprise architecture to changes in conditions and market requirements.
Keywords: business model, key competence, network structure, product innovation, value chain
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