IDEAS home Printed from https://ideas.repec.org/a/nos/evgqfc/8.html
   My bibliography  Save this article

Improvement of the express diagnostics of the production activity of the enterprise taking into account the method of determining the optimal production programs in the operational management system

Author

Listed:
  • Skrynkovskyy Ruslan

    (Lviv University of Business and Law)

  • Pavlenchyk Nataliya

    (Lviv State University of Physical Culture)

  • Horbonos Fedir

    (Lviv University of Business and Law)

  • Protsiuk Tetiana

    (Academy of Financial Monitoring, Kyiv)

Abstract

The object of research is the features of the formation and use of the system for express diagnostics of production activities (based on business indicators) and the determination of the optimal production programs of an enterprise in the operational management system. One of the main problems of building effective systems for express-diagnosing production activities at enterprises is the selection of a specific list and composition of diagnostic business indicators and criteria for their optimality. It is important to have a meaningful formulation and solution of the problem: definition of optimal production programs according to the financial criterion for the development of an enterprise in the operational management system. The construction and implementation of effective systems for express diagnostics of production activities at enterprises is also accompanied by a set of interrelated problems of organizational, personnel, technical, technological, temporary and economic nature. The methods of generalization, systematization, system analysis and economic and mathematical modeling were used, on the basis of which: 1) a system of business indicators for express diagnostics of the enterprise’s production activities is formed; 2) it is determined, from the set of permissible variants of the enterprise’s production program, that variant which satisfies the conditions of work and production and optimizes the objective function to ensure maximum profit. It is established that the end result of the production activity of an enterprise is obtaining an integral effect (result), the main structural components of which are the following types of effects: economic, social, budget, environmental, resource effect, intellectual, scientific and technical. On the basis of the conducted research, on the basis of the set goals and tasks, the system of express diagnostics of the production activity of the enterprise, taking into account the economic and mathematical method of determining the optimal production programs in the operational management system, is improved. The key diagnostic business indicators of the system for express diagnostics of the enterprise’s production activities are: the volume of marketable products, the volume of gross output, the volume of work in progress, the share of rejects in marketable products, the optimal production program in the operational management system. Considering the presented improved economic and mathematical method of determining the optimal production programs (in management), a necessary condition for the development of a production enterprise is the optimal ratio of the volume of production (sales) of products with costs. And also with the absolute financial criterion of maximization (development) – the net profit of the enterprise. Here an important place is occupied by the difference of the accounting and economic approach to the calculation of profit.

Suggested Citation

  • Skrynkovskyy Ruslan & Pavlenchyk Nataliya & Horbonos Fedir & Protsiuk Tetiana, 2018. "Improvement of the express diagnostics of the production activity of the enterprise taking into account the method of determining the optimal production programs in the operational management system," Technology audit and production reserves, 6(44) 2018, Socionet;Technology audit and production reserves, vol. 6(4(44)), pages 4-10.
    • Handle: RePEc:nos:evgqfc:8
    as

    Download full text from publisher

    File URL: http://journals.uran.ua/tarp/article/view/147968
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stephen D. Oliner & Daniel E. Sichel, 2000. "The Resurgence of Growth in the Late 1990s: Is Information Technology the Story?," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 3-22, Fall.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Skrynkovskyy Ruslan & Sopilnyk Lyubomyr & Heorhiadi Nellі & Kniaz Sviatoslav, 2019. "Improvement of the model of the innovative development of the production system of industrial enterprises," Technology audit and production reserves, 1(45) 2019, Socionet;Technology audit and production reserves, vol. 1(4(45)), pages 51-53.
    2. Ruslan Skrynkovskyy & Lyubomyr Sopilnyk & Fedir Horbonos & Sviatoslav Kniaz & Nataliia Pavlenchyk & Volodymyr Yuzevych, 2019. "Improvement of the Model for Calculating the Operating Profit of Industrial Enterprises Taking into Account the Problem of Optimal Distribution of Productive Resources," Traektoriâ Nauki = Path of Science, Altezoro, s.r.o. & Dialog, vol. 5(3), pages 5011-5017, March.
    3. Skrynkovskyy Ruslan & Sopilnyk Rostyslav & Seliverstova Liudmyla & Koropetskyi Oleh & Protsiuk Tetiana, 2019. "Improvement of the system of indicators for the efficiency evaluation of the production capacity of industrial enterprises," Technology audit and production reserves, 2(46) 2019, Socionet;Technology audit and production reserves, vol. 2(4(46)), pages 49-51.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jorgenson, Dale W. & Nomura, Koji, 2005. "The industry origins of Japanese economic growth," Journal of the Japanese and International Economies, Elsevier, vol. 19(4), pages 482-542, December.
    2. Janet L. Yellen, 2005. "The U.S. economic outlook," Speech 5, Federal Reserve Bank of San Francisco.
    3. Karl Whelan, 2002. "Some New Economy Lessons for Macroeconomists," Recherches économiques de Louvain, De Boeck Université, vol. 68(1), pages 21-36.
    4. Kiley, Michael T., 2001. "Computers and growth with frictions: aggregate and disaggregate evidence," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 55(1), pages 171-215, December.
    5. Ionela Tofan & Elena Condrea, 2022. "An Analysis of Business Performance In Romania’s IT Sector," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 207-216, Decembrie.
    6. Benati, Luca, 2007. "Drift and breaks in labor productivity," Journal of Economic Dynamics and Control, Elsevier, vol. 31(8), pages 2847-2877, August.
    7. Rajiv Kohli & Sarv Devaraj, 2003. "Measuring Information Technology Payoff: A Meta-Analysis of Structural Variables in Firm-Level Empirical Research," Information Systems Research, INFORMS, vol. 14(2), pages 127-145, June.
    8. Gangopadhyay, Partha & Jain, Siddharth & Bakry, Walid, 2022. "In search of a rational foundation for the massive IT boom in the Australian banking industry: Can the IT boom really drive relationship banking?," International Review of Financial Analysis, Elsevier, vol. 82(C).
    9. Espinoza, Héctor & Kling, Gerhard & McGroarty, Frank & O'Mahony, Mary & Ziouvelou, Xenia, 2020. "Estimating the impact of the Internet of Things on productivity in Europe," LSE Research Online Documents on Economics 116391, London School of Economics and Political Science, LSE Library.
    10. Patrick Francois & Joanne Roberts, 2003. "Contracting Productivity Growth," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(1), pages 59-85.
    11. Carmen Díaz-Roldán & María del Carmen Ramos-Herrera, 2021. "Innovations and ICT: Do They Favour Economic Growth and Environmental Quality?," Energies, MDPI, vol. 14(5), pages 1-17, March.
    12. Basu, Susanto & Fernald, John G. & Shapiro, Matthew D., 2001. "Productivity growth in the 1990s: technology, utilization, or adjustment?," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 55(1), pages 117-165, December.
    13. repec:dgr:rugggd:gd-79 is not listed on IDEAS
    14. Nicholas Bloom & Raffaella Sadun & John Van Reenen, 2012. "Americans Do IT Better: US Multinationals and the Productivity Miracle," American Economic Review, American Economic Association, vol. 102(1), pages 167-201, February.
    15. Thangavelu, Shandre M. & Chongvilaivan, Aekapol, 2013. "Financial Health and Firm Productivity: Firm-level Evidence from Viet Nam," ADBI Working Papers 434, Asian Development Bank Institute.
    16. J. Bradford DeLong, 2002. "Do We Have a "New" Macroeconomy?," NBER Chapters, in: Innovation Policy and the Economy, Volume 2, pages 163-184, National Bureau of Economic Research, Inc.
    17. Matti Pohjola, 2002. "The New Economy in Growth and Development," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 18(3), pages 380-396.
    18. Sergey Valery Samoilenko, 2013. "Investigating factors associated with the spillover effect of investments in telecoms: Do some transition economies pay too much for too little?," Information Technology for Development, Taylor & Francis Journals, vol. 19(1), pages 40-61, January.
    19. Francesco Venturini, 2009. "The long-run impact of ICT," Empirical Economics, Springer, vol. 37(3), pages 497-515, December.
    20. Boucekkine, Raouf & Crifo, Patricia, 2008. "Human Capital Accumulation And The Transition From Specialization To Multitasking," Macroeconomic Dynamics, Cambridge University Press, vol. 12(3), pages 320-344, June.
    21. Tiff Macklemr & James Yetman, 2001. "Productivity growth and prices in Canada: what can we learn from the US experience?," BIS Papers chapters, in: Bank for International Settlements (ed.), Empirical studies of structural changes and inflation, volume 3, pages 29-48, Bank for International Settlements.

    More about this item

    Keywords

    production activity of the enterprise; production program of the enterprise; operational management; express diagnostics of the enterprise; management decisions;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics
    • M54 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Labor Management

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nos:evgqfc:8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Алина Макаренко (email available below). General contact details of provider: http://socionet.ru/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.