Simulation of production processes at aircraft building enterprises
Keywords:
Aircraft manufacturing, high-technology manufacturing, key indicators, monitoring of production processes, optimization, organization of production, production program, science-intensive products.
Abstract
The effective development of productive capacities of the domestic aircraft industry was analyzed. A methodology for calculating general indicators for assessing the feasibility of production programs of the aviation industry at the level of technological limits and types of aircraft manufacturing was developed.
The application of this methodology will allow making more meaningful determination of the material consumption of new types of aviation products and the productivity of new equipment and ultimately assessing the feasibility of prospective production plans. Monitoring of the performance indicators of the domestic aircraft industry will give new impetus to research in the sphere of development, production and maintenance of science-intensive products according to their specificity. Despite the great value of scientific studies of the works of many scientists in the sphere of organization of production at enterprises, there are currently unresolved issues of an industrial and technological nature.
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References
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Batkovskiy A.M., Fomina A.V., Batkovskiy M.A., Klochkov V.V., Semenova E.G. (2016). Implementation risks in investment projects on boosting high-tech business production capacity: analysis and management. Journal of Applied Economic Sciences, 6(44), 1200-1209.
Batkovsky A.M., Kalachanov V.D. (2017). Modeling the innovative development of economic systems. Electronics Issues, 2015, 258-279.
Chursin A., Drogovoz P., Sadovskaya T., Shiboldenkov V. (2017). A linear model of economic and technological shocks in science-intensive industries. Journal of Applied Economic Sciences 6(52), 1567–1577.
Chursin A., Drogovoz P., Sadovskaya T., Shiboldenkov V. (2017). The dynamic model of elements’ interaction within system of science-intensive production under unstable macroeconomic conditions. Journal of Applied Economic Sciences. 5(51), 1520–1530.
De Sousa Damiani J.H. (2016). Regional development in Brazil and the challenges facing technology-intensive cities: A proposal for a framework of a municipal innovation system.Portland International Conference on Management of Engineering and Technology: Technology Management for Social Innovation. 510-522.
Efimova N.S. (2015). The formation of methods of information support for the development of high technology products in the conditions of information security of the enterprise. Bulletin of the Moscow Aviation Institute, 2, 214-220.
Kim J., MacDuffie J.P., Pil F.K. (2010). Employee voice and organizational performance: Team versus representative influence. HumanRelations. 63, 371-394.
Knutstad G.J., Ravn E. (2014). Technology Utilization as Competitive Advantage - A Sociotechnical Approach to High Performance Work Systems. Advanced Materials Research, 1039, 555-561.
Lee B.H. (2011). The political economics of industrial development in the Korean automotive sector. International Journal of Automotive Technology and Management. 11, 137-151.
Li C., Bai Y., Xiang X., Xie X. (2017). To mine coordinated development degrees of high-tech equipment manufacturing industry and logistics industry via an improved grey hierarchy analysis model. Journal of Grey System. 29, 105-119.
Lyu J.,Wang W., Ren Y., Feng W., Zhao J. (2016). An evaluation method for use phase affordability of aviation equipment. International Conference on System Reliability and Science. 16599734, 42-45.
Manturov D.V., Efimova N.S. (2012). Implementation of information support systems for high technology products in the organization of production in the aircraft industry. Military Economics and Finance. 3(19), 50-55.
McNamara C. (2018). Organizational Performance Management . Evaluating and Improving Organizations. Guidelines about achieving stronger organizational performance. 15, 220-225.
Morrissey R., Guarraia P., Pauwels V., Sampathkumar S. (2016). Building Efficient Organizations. Bain & Company. Available at: http://www.bain.com/publications/articles/building-efficient-organizations.aspx.
Nikezić S., Dželetović M., Vučinić D. (2018). Chester Barnard: Organisational-Management Code for the 21st Century. Procedia - Social and Behavioral Sciences. 221(2016), 126-134.
Panahifar F., Byrne P.J., Heavey C. (2014). ISM analysis of CPFR implementation barriers. International Journal of Production Research. 52, 5255-5272.
Pokrajac S., Nikolić M., Filipović M. (2016). Industrial competitiveness as a basis of Serbian reindustrialization. Journal of Applied Engineering Science. 14(2), 248-259.
Radu C. (2018). Modern Instruments For Measuring Organizational Performance. Modern Instruments ForMeasuring Organizational Performance. 14(2), 349-367.
Rolfsen M., Langeland C. (2012). Successful maintenance practice through team autonomy. Employee Relations. Employee Relations. 34, 306-321.
Sparrow P., Cooper C. (2014). Organizational effectiveness, people and performance: new challenges, new research agendas. Journal of Organizational Effectiveness: People and Performance (Lancaster University). 1, 2-13.
Vonortas N., Zirulia L. (2015). Strategic technology alliances and networks. Economics of Innovation and New Technology. 24, 490-509.
Published
2019-11-21
How to Cite
Efimova, N., & Kalachanov, V. (2019). Simulation of production processes at aircraft building enterprises. Amazonia Investiga, 8(24), 335-345. Retrieved from https://www.amazoniainvestiga.info/index.php/amazonia/article/view/991
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