Abstract
In the study, we consider the methods for optimizing the configuration of the network structure of enterprises based on the theory of fuzzy sets. These methods allow customizing the value chain in such a way as to maximize the likelihood of the success of a joint project to create innovative products. A strategic decision to change the configuration of the network structure is made based on an analysis of deviations of the generalized capabilities from the generalized requirements for the enterprise and its closest neighbors along the value chain. This optimization principle allows changing the configuration, taking into account the interests of participants in the network structure as a whole. We have formulated the task of developing tools for enterprise engineering based on intelligent decision support technologies and multi-agent systems. The approach to justifying decisions in the conditions of lack and incompleteness of the initial data on the basis of soft models is an alternative to existing traditional methods. The proposed network structure optimization model will allow effective strategic planning, supporting flexible management mechanisms at the strategic and operational levels. The research results show that it is possible to improve the efficiency of interaction between enterprises united by common goals by using services that allow enterprises to find information about their potential partners.
Highlights
For successful implementation of system transformations, modern methods and approaches of enterprise engineering are applied, including the construction of flexible organizational structures of enterprises and management of business processes on the basis of multi-agent technologies
The purpose of the present study is to develop methods and tools for intellectual decision support in the field of enterprise engineering in order to optimize the configuration of network structures
According to Porter, the main activity of the structure of the value chain includes input logistics of initial resources, operations, output logistics of the results of processes, marketing and sales, service; (2) the “value shop” model of the value creation is an extension of the basis of the conventional value chain, in its usual sense according to Porter (1985); (3) the “value creation network” model, where the value chains are created by connecting customers who are or want to be interdependent
Summary
For successful implementation of system transformations, modern methods and approaches of enterprise engineering are applied, including the construction of flexible organizational structures of enterprises and management of business processes on the basis of multi-agent technologies. On the way to the implementation of the formulated paradigm there are a number of not completely solved problems, which include the necessity to maintain the integrity of the network structure from the position of optimizing the components of the business models of enterprises, such as resources, business processes, key competencies, etc. The purpose of the present study is to develop methods and tools for intellectual decision support in the field of enterprise engineering in order to optimize the configuration of network structures. The problem is to develop the methods and tools for enterprise engineering based on intelligent decision support technologies and multi-agent systems. It is necessary to develop rational criteria for decision-making by the agents of the network structure of enterprises
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