Comparison of approaches to development of industrial production in the context of the development of a complex product

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Abstract

The article analyzes the theoretical and methodological basis for the design and development of a complex industrial product in the machine-building industry, when the task of product development is solved through the dominance of the concept of product development management over technological and production solutions. The authors considered the classical project management methodologies in the context of product development as the conditions for making managerial decisions to ensure the sustainable development of industrial enterprises. Several directions in the field of industrial product development have been studied, among which at the level of industrial production the most widespread are: (1) organizational aspect (organization of the production process), (2) engineering design of systems and (3) operational management. A set of solutions for product design/development, differing in the level of abstraction, critical success factors, and used variables has been formed. It is determined that the development of production in the context of product development is built either through: drawing up of road maps - allocation of certain functional tasks in the process of product creation with the subsequent selection of tools for their implementation and organization of production, or through a cross-functional solution of the problem within the framework of project management. That the typologization of solutions for the development of production through the creation of a product that allows carrying out the prolongation of the results does not exist. Each project is developed for certain production, which predetermines the need for further research on the issue.

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Garina, E. P., Garin, A. P., Kuznetsov, V. P., Popkova, E. G., & Potashnik, Y. S. (2018). Comparison of approaches to development of industrial production in the context of the development of a complex product. In Advances in Intelligent Systems and Computing (Vol. 622, pp. 422–431). Springer Verlag. https://doi.org/10.1007/978-3-319-75383-6_54

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