Advertisement

Socially Oriented Design of Technical Systems and Objects: Safety and Accident Prevention

  • Evgeny Kolbachev
  • Yulia SalnikovaEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 969)

Abstract

The main purpose of the article is to study the human factor in the technical systems and objects development, to develop a method of socio-economic design that ensures the safety of systems and objects and reduces the probability of accidents on them.

The essence of the article lies in the fact that, according to the authors, the conditions for the safe operation of technical systems and objects should be created in the early stages of designing. At the same time, the safety function should be considered as the main function of the system/object being created, which determines their economic and structural characteristics. This position is proved in the article by analyzing the factors influencing the technical systems and objects creation. The proposed method of socio-economic design of technical systems and objects implies that determining their cost characteristics on the conceive step of their lifecycle is the most efficient if it is based on probabilistic approach. On the next steps of design process, such as concept design and detailed design, a designed construction’s price should be estimated basing on its informational (parametric) complexity indexes.

Keywords

Socially oriented design Human-oriented manufacturing Production system Design Reindustrialization 

References

  1. 1.
    Emery, F.E., Trist, E.L.: The causal texture of organizational environments. Hum. Relat. 18, 21–32 (1965)CrossRefGoogle Scholar
  2. 2.
    Arai, E., et al.: Human oriented production system architecture. Int. J. Hum. Resour. Dev. Manage. 1, 90–98 (2000)CrossRefGoogle Scholar
  3. 3.
    Rowntree, B.-S.: The Human Factor in Business. Longmans, Green and Co., London (1921)Google Scholar
  4. 4.
    Kucharchikova, A.: Human capital – definitions and approaches. Hum. Resour. Manage. Ergon. 5(2), 60–70 (2011)Google Scholar
  5. 5.
    Rebelo, S.: Long-run policy analysis and long-run growth. J. Polit. Econ. 99(3), 500–521 (1991)CrossRefGoogle Scholar
  6. 6.
    Deming, D.: The Growing Importance of Social Skills in the Labor Market. NBER Working Paper (2015)Google Scholar
  7. 7.
    Liu, Y., Grusky, D.: The payoff to skill in the third industrial revolution. Am. J. Sociol. 118(5), 1330–1374 (2013)CrossRefGoogle Scholar
  8. 8.
    Hirshleifer, J.: Where we are in the theory of information? Amer. Econ. Rev. 63, 31–39 (1973)Google Scholar
  9. 9.
    Glaziev, S.: Strategy for Growth in the Context of the Global Economic Crisis. EANS-Press, Hannover (2015)Google Scholar
  10. 10.
    Perez, C.: Technological Revolutions and Financial Capital. Cambridge University Press, Cambridge (2002)CrossRefGoogle Scholar
  11. 11.
    Kolbachev, E.: Institutional methodology and the instruments of the natural science for the development of the innovation theory. In: Management Theory and Studies for Rural Business and Infrastructure Development, vol. 2, no. 36, pp. 316–323 (2014)CrossRefGoogle Scholar
  12. 12.
    Valtukh, K.K.: Informational Theory of Pricing and the Laws of the Non-equilibrium Economy. Janus-K, Moscow (2001)Google Scholar
  13. 13.
    Kudrin, B.I.: Structural diversity of production and social system: a critical condition for macroeconomic development. In: Report for the RAS Philosophy, Political Science, Sociology, Psychology and Law Section Meeting, Moscow (2017)Google Scholar
  14. 14.
    Gorobets, D.G.: Economic features of working out dangerous or responsible products of machine-building. Cost analysis and innovation of the enterprise, pp. 23–24. SRSPU (NPI), Novocherkassk (2000)Google Scholar
  15. 15.
    Liderman, K.M.: Economic instruments to work out a really efficient mining equipment. Economy of the business processes and production system, pp. 25–28. SRSPU (NPI), Novocherkassk (2002)Google Scholar
  16. 16.
    Shchedrin, V.N., Vasilev, S.M., Kolganov, A.V., Medvedeva, L.N., Kupriyanov, A.A.: Meliorative institutional environment: the area of state interests. Espacios 39(12), 28–41 (2018)Google Scholar
  17. 17.
    Trowbridge, C.-L.: Fundamental concepts of actuarial science. AERF, Washington DC (1989)Google Scholar
  18. 18.
    Kahneman, D., et al.: Judgment Under Uncertainty: Heuristics and Biases. Cambridge University Press, New York (2005)Google Scholar
  19. 19.
    Sharma, A., Belokar, R.M.: Achieving success through value engineering: a case study. In: Proceedings of the World Congress on Engineering and Computer Science, WCECS, San Francisco, USA, vol. II (2012)Google Scholar
  20. 20.
    Tumis, S.: Cost calculation of dies and molds: challenges, developments and future trends. In: Proceedings of the 4th International Conference and Exhibition on Design and Production of Machines, Cesme. MATIM (2007)Google Scholar
  21. 21.
    Enparantza, R., Revilla, O., Azkarate, A., Zendoia, J.: A life cycle cost calculation and management system for machine tools. In: Proceedings of the CIRP International Conference on Life Cycle Engineer, Leuven. CIRP (2007)Google Scholar
  22. 22.
    Kolbachev, E.: Management of mechanical engineering design processes based on product cost estimates. SHS Web Conf. 35, 1–5 (2017)Google Scholar
  23. 23.
    Renyi, A.: Dialogues on Mathematics. Holden-Day, New-York (1967)zbMATHGoogle Scholar
  24. 24.
    Saaksvuori, A.: Product Lifecycle Management. Springer, Heidelberg (2008)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Platov South-Russian State Polytechnic University (NPI)NovocherkasskRussian Federation

Personalised recommendations