Information model of production system management
https://doi.org/10.20914/2310-1202-2018-4-128-132
Abstract
Improvement of production systems of the organization is carried out through the introduction of quality management systems, changes in the model of production organization, the use of modern approaches to improve product quality and customer satisfaction. Measurement, evaluation and analysis of the production system allows to set the direction of activity to improve production processes and to develop activities aimed at ensuring the effectiveness of the whole system. The production system is an open system, it is connected and exchanged with the external environment information, resources, etc. the production system is Called the operating system, which consists of three subsystems: processing subsystem, directly related to the technological processes of raw materials and semi-finished products conversion into finished products; support subsystem, which performs auxiliary functions necessary for the implementation of the main technological processes; planning and control subsystems that receive and process information from the internal and external environment of the organization. The task of building an automated information system is connected with the need to integrate with the subsystem of data collection and analysis, visual representation of information for decision-making at all levels. Building an information management system of the production system is impossible without a powerful infrastructure, without a single information system support and process control. The proposed information system will help to automate the processes of management of the organization, quickly form the strategic and tactical goals of the organization. Within a given period of time, data will be collected and analyzed from the internal and external environment, timely analysis of deviations of the values of indicators from the planned values. The results of information processing will be timely visualized both for each employee and the production system of the organization as a whole.
About the Authors
L. B. Likhacheva
Voronezh state university of engineering technologies
Cand. Sci. (Engin.), associate professor, quality management and aquatic biological technology department, Revolution Av., 19 Voronezh, 394036, Russia
Cand. Sci. (Engin.), associate professor, quality management and aquatic biological technology department, Revolution Av., 19 Voronezh, 394036, Russia
L. I. Nazina
Voronezh state university of engineering technologies
Cand. Sci. (Engin.), associate professor, quality management and aquatic biological technology department, Revolution Av., 19 Voronezh, 394036, Russia
Cand. Sci. (Engin.), associate professor, quality management and aquatic biological technology department, Revolution Av., 19 Voronezh, 394036, Russia
A. V. Lomanova
Voronezh state university of engineering technologies
master student, quality management and aquatic biological technology department, Revolution Av., 19 Voronezh, 394036, Russia
master student, quality management and aquatic biological technology department, Revolution Av., 19 Voronezh, 394036, Russia
N. A. Chernykh
Voronezh state university of engineering technologies
student, quality management and engineering technology department, Revolution Av., 19 Voronezh, 394036, Russia
student, quality management and engineering technology department, Revolution Av., 19 Voronezh, 394036, Russia
References
1. GOST R ISO 9001–2015. Sistemy menedzhmenta kachestva. Trebovaniya [State Standard 9001–2015. Quality management system. Requirements]. Moscow, Standartinform, 2015. 24 p. (in Russian).
2. Aylarova Z.K., Dzagoeva M.R. Management of production systems development of enterprises. Ustojchivoe razvitie gornyh territorij [Sustainable development of mountain territories]. 2014. no. 1. pp. 87–92. (in Russian).
3. Tushavin V.A. Production system as an integrated system of quality management: The role of information technologies. Problemy ehkonomiki i upravleniya neftegazovym kompleksom [Problems of Economics and management of oil and gas complex]. 2014. no. 12. pp. 54–59. (in Russian).
4. Gurman D.V. Production system at the enterprise as a modern approach to integrated quality system. Sovremennaya nauka: Aktual'nye problemy teorii i praktiki. Seriya: Ehkonomika i pravo [Modern science: Actual problems of theory and practice. Series: Economics and law]. 2015. no. 7–8. pp. 15–18. (in Russian).
5. Popov A.P., Bityukov V.K., Tikhomirov S.G., Unknown O.G. et al. System analysis of the reactor for the dehydrogenation of ethylbenzene as a control object. Vestnik VGUIT [Proceedings of VSUET]. 2018. vol. 80. no. 2. pp. 77–85. doi:10.20914/2310-1202-2018-2-77-85. (in Russian).
6. Ohno T. Toyota production system: beyond large-scale production. CRC Press, 2014.
7. Spear S., Bowen H.K. Decoding the DNA of the Toyota production system. Harvard business review. 2015. vol. 77. no. 5. pp. 96-106.
8. Nazina L.I., Likhacheva L.B. Design of production systems at the enterprises of agroindustrial complex. Vestnik VGUIT [Proceedings of VSUET]. 2017. vol. 79. no. 1. pp. 497–500. doi:10.20914/2310–1202–2017–1–497–500. (in Russian).
9. Lean D.P. Production simplified: A plain-language guide to the world’s most powerful production system. Boca Raton, CRC Press, 2016. 215 p.
10. Likhacheva L.B., Nazina L.I., Shevtsova N.A. The development of an integrated indicator of an estimation of processes of the integrated management system. Ehkonomika. Innovacii. Upravlenie kachestvom [Economics. Innovations. Quality management]. 2015. no. 1 (10). pp. 110–112. (in Russian).
11. Stevenson W.J., Hojati M., Cao J. Operations management. Boston, McGraw-Hill/Irwin, 2014.
12. Bennett P.N., Dumais S.T., Horvitz E. Probabilistic combination of text classifiers using reliability indicators: Models and results. Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval. New York, ACM, 2002. pp. 207–214.
13. GOST 27.202–83. Nadezhnost' v tekhnike. Tekhnologicheskie sistemy. Metody ocenki nadezhnosti po parametram kachestva izgotovlyaemoj produkcii [State Standard 27.202–83. Reliability in technology. Technological system. Methods of reliability assessment on the parameters of quality of manufactured products]. Moscow, Publishing house of standards, 2002. 95 p. (in Russian).
14. Fragassa C., Pavlovic A., Massimo S. Using a total quality strategy in a new practical approach for improving the product reliability in automotive industry. International Journal for Quality Research. 2014. vol. 8. no. 3. pp. 297-310.
Review
For citations:
Likhacheva L.B., Nazina L.I., Lomanova A.V., Chernykh N.A. Information model of production system management. Proceedings of the Voronezh State University of Engineering Technologies. 2018;80(4):128-132. (In Russ.) https://doi.org/10.20914/2310-1202-2018-4-128-132
Views:
809
Email this article 
Post a Comment 
