Development of Methodological Principles Improving Quality of Research Organization in Scientific and Production Enterprises

Abstract

Comprehensive analysis of activities of a research and production enterprise was performed, and the most effective areas were identified. Techniques and methods of effective management decisions are provided, taking into account specifics of the scientific activity, as well as the method for simulating the process of creating innovations to quantify the state of ideas and forecast for the future. A mathematical model is proposed for predicting parameters characterizing the full life cycle of ideas implementation. Main characteristics of the model and their alteration at various stages of the idea life cycle are described. An approach to solving the problem of intellectualization in the scientific and production enterprise workflow is outlined, and within its framework a technique for automatic analysis of the text of documents and its meaningful indexing is proposed. System application in solving the problems of scientific research in the NPO "Lakokraspokrytie" from planning to implementation is demonstrated. Organization of operations using an intelligent scientific research management system and making the right strategic decisions makesit possible to increase the enterprise economic performance indicators

Please cite this article as:

Boldyrev V.S. Development of methodological principles improving quality of research organization in scientific and production enterprises. Herald of the Bauman Moscow State Technical University, Series Mechanical Engineering, 2022, no. 1 (140), pp. 55--70. DOI: https://doi.org/10.18698/0236-3941-2022-1-55-70

References

[1] Meshalkin V.P. Logistika i elektronnaya ekonomika v usloviyakh perekhoda k ustoychivomu razvitiyu [Logistics and e-economy in transition to sustainable development]. Moscow, MUCT Publ., 2004.

[2] Meshalkin V.P., Kakatunova T.V. Information systems of innovation management in regional industrial complexes. Zhurnal pravovykh i ekonomicheskikh issledovaniy [Journal of Legal and Economic Studies], 2011, no. 4, pp. 191--193 (in Russ.).

[3] Garipova G.R., Shinkevich A.I. Upravlencheskie innovatsii. Sostoyanie i perspektivy razvitiya [Management innovations. Current state and development prospects]. Kazan, KNITU Publ., 2015.

[4] Orlov A.I. Organizational-economic modelling in the control problems of economic units. Innovatsii v menedzhmente [Innovations in Management], 2014, no. 1, pp. 22--31 (in Russ.).

[5] Sheremet A.D., Sayfulin R.S. Finansy predpriyatiy [Enterprise finance]. Moscow, Infra-M Publ., 1998.

[6] Amelina K.E., Korobets B.N. Algorithmization of organization management as a tool to improve its performance. Nauka i biznes: puti razvitiya [Science and Business: Development Ways], 2015, no. 10, pp. 24--26 (in Russ.).

[7] Dorokhov I.N., Men’shikov V.V. Sistemnyy analiz protsessov khimicheskoy tekhnologii [System analysis of chemical technology processes]. Moscow, Nauka Publ., 2005.

[8] Meshalkin V.P., Stoyanova O.V. Procedure for constructing model of innovative projects in the field of nanoindustry. Theor. Found. Chem. Eng., 2014, vol. 48, no. 1, pp. 82--89 (in Russ.). DOI: https://doi.org/10.1134/S0040579514010059

[9] Bobyleva M.P. Upravlencheskiy dokumentooborot: ot bumazhnogo k elektronnomu [Management of document flow: from paper to electronic]. Moscow, Termika.ru Publ., 2019.

[10] Kolobov A.A., Omelchenko I.N., Orlov A.I. Menedzhment vysokikh tekhnologiy [High technology management]. Moscow, Ekzamen Publ., 2008.

[11] Meshalkin V.P., Puchkov A.Yu., Dli M.I., et al. Generalized model for engineering and controlling a complex multistage chemical energotechnological system for processing apatite-nepheline ore wastes. Theor. Found. Chem. Eng., 2019, vol. 53, no. 4, pp. 463--471 (in Russ.). DOI: https://doi.org/10.1134/S0040579519040237

[12] Hausser R. Foundations of computational linguistics. Berlin, Springer Heidelberg, 1999.

[13] Bogomolov B.B., Boldyrev V.S., Zubarev A.M., et al. Intelligent logical information algorithm for choosing energy- and resource-efficient chemical technologies. Theor. Found. Chem. Eng., 2019, vol. 53, no. 5, pp. 709--718. DOI: https://doi.org/10.1134/S0040579519050270

[14] Brom A.E. Razrabotka kontseptsii i metodologicheskikh osnov sozdaniya organizatsionnoy sistemy logisticheskoy podderzhki zhiznennogo tsikla naukoemkoy produktsii. Diss. d-ra tekh. nauk [Development of concept and methodological foundations or the development of organizational system for logical support of high technology products life cycle. Dr. Sc. (Eng.). Diss.]. Moscow, Bauman MSTU, 2009 (in Russ.).

[15] Boldyrev V.S., Averina Yu.M., Men’shikov V.V., et al. Technological and organizational engineering of paint processing. Theor. Found. Chem. Eng., 2020, vol. 54, no. 3, pp. 420--424 (in Russ.). DOI: https://doi.org/10.1134/S004057952003001X

[16] Mishchenko A.V., Pilyugina A.V. Dynamic models of research and manufacturing system management. Herald of the Bauman Moscow State Technical University, Series Mechanical Engineering, 2019, no. 2 (125), pp. 56--75 (in Russ.). DOI: https://doi.org/10.18698/0236-3933-2019-2-56-75