ISSN 0021-3454 (print version)
ISSN 2500-0381 (online version)
Menu

2
Issue
vol 67 / February, 2024
Article

DOI 10.17586/0021-3454-2019-62-10-914-920

UDC 519.8

DYNAMIC INTERPRETATION OF FORMAL DESCRIPTION AND SOLUTION OF THE PROBLEM OF COMPLEX OBJECT MODERNIZATION

V. V. Zakharov
St. Petersburg Institute for Informatics and Automation of the RAS, laboratory for Information Technologies in Systems Analysis and Modeling ;


Read the full article 

Abstract. Based on a unified multi-model dynamic description, an approach is proposed which allows to solve simultaneously a set of problem of synthesis of modernization plans and functioning of a complex object. It is proposed to consider a complex object as a set of structures that have the property of struc-tural dynamics and interconnected by nodes that perform processing, transmission, and analysis of in-formation, as well as development of control actions. A set-theoretic formulation of the problem of man-agement of modernization and functioning of a complex object is presented. The proposed method makes it possible to synthesize a reference plan for solving the problems of modernization management and operation of complex objects and reasonably choose compromise solutions for multivariate solu-tions related to modernization management.
Keywords: integrated planning and scheduling, modernization of a complex object, business process management

References:
  1. Lee J. et al. Manufacturing Letters, 2013, vol. 1, рр. 38–41.
  2. Heng S. Industry 4.0: Upgrading of Germany's Industrial Capabilities on the Horizon, April 23, 2014, https://ssrn.com/abstract=2656608.
  3. Ivanov D., Dolgui A., & Sokolov B. International Journal of Production Research, 2018, рр. 1–18.
  4. Correa F.R. 2018 IEEE Industrial Cyber-Physical Systems (ICPS), St. Petersburg, 2018, pp. 392–397.
  5. Ivanov D. & Sokolov B. Journal of Scheduling, 2010, vol.15, рр. 201–216.
  6. Zhang Jian, Ding Guofu, Zou Yisheng Qin, Sheng-feng and Fu Jianlin. Journal of Intelligent Manufacturing, 2019, no. 4(30), pp. 1809–1830.
  7. Dolgui A., Ivanov D., Sethi S.P., & Sokolov B. International Journal of Production Research, 2019, no. 2(57), pp. 411–432.
  8. Mrugalska B., Zasada B., Wyrwicka M.K. Adavances in manufacturing, Production Management and Process Control, 2019, vol. 793, рp. 540–548.
  9. Rossiya v tsifrakh 2018: Kratkiy statisticheskiy sbornik (Russia in numbers 2018: A Brief Statistical Digest), Moscow, 2018, 522 р. (in Russ.)
  10. Kuznetsova L.V., Nikolaev A.V., Maksimova O.I., Glukhov A.E. University proceedings. Volga region. Technical sciences, 2008, no. 3, pp. 73–81.
  11. Gordov O.V. Tambov University Review. Series Humanities, 2008, no. 8, pp. 364–368.
  12. Okhtilev M.Yu., Sokolov B.V., Yusupov R.M. Intellektual'nyye tekhnologii monitoringa i upravleniya strukturnoy dinamikoy slozhnykh tekhnicheskikh ob"yektov (Intelligent Technologies for Monitoring and Controlling the Structural Dynamics of Complex Technical Objects), Moscow, 2006, 410 р. (in Russ.)
  13. Zimin I.N., and Ivanilov Yu.P. USSR Computational Mathematics and Mathematical Physics, 1971, no. 3(11), pp. 632–641.
  14. Mikoni S.V., Sokolov B.V., Yusupov R.M. Kvalimetriya modeley i polimodel'nykh kompleksov (Qualimetry of Models and Polymodel Complexes), Moscow, 2018, 314 р. (in Russ.)
  15. Kokorin S.V., Potryasaev S.A., Sokolov B.V. Journal of Instrument Engineering, 2012, no. 11(55), pp. 17–22.