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Интегрированная Информационная Система Управления Ресурсами Предприятия
[Integrated information system of enterprise's resource management]

Author

Listed:
  • Levitskiy, Stanislav
  • Frunze, Igor
  • Zaiceva, Nataliya

Abstract

Nowadays the most topical is a problem of economic efficiency assessment of enterprises’ resource management within technological chains, financial structures and logistic systems and so on. Especially it covers Ukraine’s economy, that fell under the impact of world financial crisis and hereby requires restructuring and creating such structures of economic objects capable to secure production growth, investment flow into country’s economy as well as improving competitiveness of production at world market. Functioning of any economic system is connected with decision making that is on the present economic stage is revealed and developed more and more like decision making support systems. The purpose of such system is achieving of synergy effect from complementary action of decisions, which summarized value exceeds detached operational results of the economic objects. In scientific papers dedicated the investigation problems of decision making support systems, a decision making process is studied from different sides, that results in missing the unique approach to the sense of resource management support. The paper reviews decision making problems for economic objects aiming to achieve a synergy effect from complementary actions of resource management decisions, which total value exceeds isolated functioning results. It is shown that application of IT systems such as Decision Support System to investigation the efficiency of resource decisions of economic objects with regards of process design peculiarities of managerial decisions allows maximum accurate analyzing the results of interaction of economic units within unified integrated structure. It has been proposed a structure of DSS developed on the base of conceptual description the function results for integrated formation. Developed Decision Making Support System in Resource Management allows to provide optimized and balanced material flows in procurement chain accounting for inventories, manufacturing capacity of equipment, production cycles and technological constraints, in-time and effective material delivery, higher users satisfaction, reduction of unnecessary operations, increase of control of calendar planning process and improvement of the quality of shipment process.

Suggested Citation

  • Levitskiy, Stanislav & Frunze, Igor & Zaiceva, Nataliya, 2010. "Интегрированная Информационная Система Управления Ресурсами Предприятия
    [Integrated information system of enterprise's resource management]
    ," MPRA Paper 56510, University Library of Munich, Germany, revised 04 Jun 2010.
  • Handle: RePEc:pra:mprapa:56510
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    File URL: https://mpra.ub.uni-muenchen.de/56510/1/MPRA_paper_56510.pdf
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    References listed on IDEAS

    as
    1. Kate Antonovics & Brian G. Knight, 2009. "A New Look at Racial Profiling: Evidence from the Boston Police Department," The Review of Economics and Statistics, MIT Press, vol. 91(1), pages 163-177, February.
    2. Stahl Dale O. & Wilson Paul W., 1995. "On Players' Models of Other Players: Theory and Experimental Evidence," Games and Economic Behavior, Elsevier, vol. 10(1), pages 218-254, July.
    3. Dan Kovenock & Brian Roberson & Roman M. Sheremeta, 2010. "The Attack and Defense of Weakest-Link Networks," Working Papers 10-14, Chapman University, Economic Science Institute.
    4. Cary Deck & Roman M. Sheremeta, 2012. "Fight or Flight?," Journal of Conflict Resolution, Peace Science Society (International), vol. 56(6), pages 1069-1088, December.
    5. John Knowles & Nicola Persico & Petra Todd, 2001. "Racial Bias in Motor Vehicle Searches: Theory and Evidence," Journal of Political Economy, University of Chicago Press, vol. 109(1), pages 203-232, February.
    6. McKelvey Richard D. & Palfrey Thomas R., 1995. "Quantal Response Equilibria for Normal Form Games," Games and Economic Behavior, Elsevier, vol. 10(1), pages 6-38, July.
    7. Jacob Goeree & Charles Holt & Thomas Palfrey, 2005. "Regular Quantal Response Equilibrium," Experimental Economics, Springer;Economic Science Association, vol. 8(4), pages 347-367, December.
    8. Vincent P. Crawford & Nagore Iriberri, 2007. "Fatal Attraction: Salience, Naïveté, and Sophistication in Experimental "Hide-and-Seek" Games," American Economic Review, American Economic Association, vol. 97(5), pages 1731-1750, December.
    9. Roman M. Sheremeta, 2013. "Overbidding And Heterogeneous Behavior In Contest Experiments," Journal of Economic Surveys, Wiley Blackwell, vol. 27(3), pages 491-514, July.
    10. P.-A. Chiappori, 2002. "Testing Mixed-Strategy Equilibria When Players Are Heterogeneous: The Case of Penalty Kicks in Soccer," American Economic Review, American Economic Association, vol. 92(4), pages 1138-1151, September.
    11. Vincent P. Crawford & Miguel A. Costa-Gomes & Nagore Iriberri, 2013. "Structural Models of Nonequilibrium Strategic Thinking: Theory, Evidence, and Applications," Journal of Economic Literature, American Economic Association, vol. 51(1), pages 5-62, March.
    12. Jacob K. Goeree & Charles A. Holt, 2001. "Ten Little Treasures of Game Theory and Ten Intuitive Contradictions," American Economic Review, American Economic Association, vol. 91(5), pages 1402-1422, December.
    13. Atin Basuchoudhary & Laura Razzolini, 2006. "Hiding in plain sight – using signals to detect terrorists," Public Choice, Springer, vol. 128(1), pages 245-255, July.
    14. Stahl, Dale II & Wilson, Paul W., 1994. "Experimental evidence on players' models of other players," Journal of Economic Behavior & Organization, Elsevier, vol. 25(3), pages 309-327, December.
    15. Kahneman, Daniel & Tversky, Amos, 1979. "Prospect Theory: An Analysis of Decision under Risk," Econometrica, Econometric Society, vol. 47(2), pages 263-291, March.
    16. Sandler, Todd & Arce, Daniel G., 2007. "Terrorism: A Game-Theoretic Approach," Handbook of Defense Economics, Elsevier.
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    Citations

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    Cited by:

    1. Levitskiy, Stanislav & Frunze, Igor, 2014. "Planning Technique for Complex Economic Object’s Synergy at Mergers and Acquisitions," MPRA Paper 56709, University Library of Munich, Germany.
    2. Levitskiy, Stanislav & Frunze, Igor & Mikhaylik, Denis, 2013. "Assessment Techniques For Integration Efficiency Of Economic Objects," MPRA Paper 54533, University Library of Munich, Germany, revised Jan 2014.

    More about this item

    Keywords

    Decision Making; IT; Decision Support System; Resource Management;

    JEL classification:

    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • L99 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Other
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • M2 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics

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