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UDK 621.01:658

DOI: 10.15507/0236-2910.028.201804.511-522

 

Project and Operations Management of Machine-Building Production

 

Alexander V. Tsyrkov
Professor, Chair of System Modeling and Computer-Aided Design, Moscow Aviation Institute (National Research University) (4 Volokolamskoe Shosse, Moscow 125993, Russia), D.Sc. (Engineering), ResearcherID: K-1128-2018, ORCID: https://orcid.org/0000-0002-2334-1962, This email address is being protected from spambots. You need JavaScript enabled to view it.

Pavel M. Kuznetsov
Professor, Chair of System Modeling and Computer-Aided Design, Moscow Aviation Institute (National Research University) (4 Volokolamskoe Shosse, Moscow 125993, Russia), D.Sc. (Engineering), ResearcherID: K-8831-2018, ORCID: https://orcid.org/0000-0001-9237-3848, This email address is being protected from spambots. You need JavaScript enabled to view it.

George A. Tsyrkov
Associate Professor, Chair of System Modeling and Computer-Aided Design, Moscow Aviation Institute (National Research University) (4 Volokolamskoe Shosse, Moscow 125993, Russia), Ph.D. (Engineering), ResearcherID: P-1620-2017, ORCID: https://orcid.org/0000-0001-9379-5380, This email address is being protected from spambots. You need JavaScript enabled to view it.

Yegor A. Yermokhin
Graduate, Chair of System Modeling and Computer-Aided Design, Moscow Aviation Institute (National Research University) (4 Volokolamskoe Shosse, Moscow 125993, Russia), ResearcherID: K-1122-2018, ORCID: https://orcid.org/0000-0003-2819-2318, This email address is being protected from spambots. You need JavaScript enabled to view it.

Valery K. Moskvin
Associate Professor, Chair of Metal Machines, Bauman Moscow State Technical University (5 2nd Baumanskaya St., Moscow 105005, Russia), Ph.D. (Engineering), ResearcherID: L-4930-2018, ORCID: https://orcid.org/0000-0001-5377-4390, This email address is being protected from spambots. You need JavaScript enabled to view it.

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

Contribution of the authors: А. V. Tsyrkov – academic guidance, formulation of the research task and analysis of literary data; P. M. Kuznetsov – development of the mathematical apparatus of the prognostic model; G. A. Tsyrkov – development of models of technological processes; Ye. A. Yermokhin – writing the draft, translation into English and editing; V. K. Moskvin – word processing, review of literary sources.

All authors have read and approved the final version of the paper.

Received 10.05.2018; revised 29.06.2018; published online 28.12.2018

 

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