Introduction. The aim of this work is to develop the main guidelines of project and operations management at machine-building enterprises. Materials and Methods. The authors reviewed the state of application of the project and operations management of machine-building production in the automated mode. The review showed the complexity of its application due to a large number of factors, which must be taken into account when implementing. An approach was developed that allows solving the task using the automation of analysis processes and decision-making in production management. Results. The article establishes the main guidelines of the project and operations management, aimed at increasing productivity and reducing production costs based on modeling the state of production environment. It also defines the requirements for the model. A prognostic time model for forecasting the state of the enterprise production system has been developed. Conclusions.The tasks have been solved in this article allow increasing the level of automation of the processes of project and operations management of the enterprise in the conditions of quick-change production. The implementation of the developed approach to project and operations management of the enterprise will allow streamlining the launch of products with a reduction in the amount of work in progress and increasing the productivity of output. Keywords: technological process, project and operations management, design, prognostic model, production, labor intensity, productivity For citation: Tsyrkov A. V., Kuznetsov P. M., Tsyrkov G. A., Yermokhin Ye. A., Moskvin V. K. Project and Operations Management of Machine-Building Production. Vestnik Mordovskogo universiteta = Mordovia University Bulletin. 2018; 28(4):511–522. DOI: https://doi.org/10.15507/0236-2910.028.201804.511-522
CITATION STYLE
Tsyrkov, A. V., Kuznetsov, P. M., Tsyrkov, G. A., Yermokhin, Y. A., & Moskvin, V. K. (2018). Project and Operations Management of Machine-Building Production. Mordovia University Bulletin, (4), 511–522. https://doi.org/10.15507/0236-2910.028.201804.511-522
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