Decision Making Models on the Basis of Expert Knowledge for an Engineering Enterprise Strategic Management

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The paper outlines the complex of related models and decision making support methods based on expert knowledge in strategic management of an engineering enterprise. Represented models are considered to be multi-purpose ones; these models can be used for any engineering enterprise. The application of multi-purpose models increase quality and reasonableness of strategic decisions at the stages of strategic analysis, choice and control.

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645-650

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June 2015

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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[1] A. A Zakharova, E.V. Telipenko, Information system of bankruptcy risk management of an enterprise, J. Proceedings 7th International Forum on Strategic Technology, IFOST 2012, 1 (2012) 539-543.

DOI: 10.1109/ifost.2012.6357615

Google Scholar

[2] A. Grigoreva, Information system of innovative products competitiveness determining. J. Proceedings 7th International Forum on Strategic Technology, IFOST 2012. 1 (2012) 691-694.

DOI: 10.1109/ifost.2012.6357651

Google Scholar

[3] T.Y. Chernysheva, Information systems project risk assessment: expert approach, J. Applied Mechanics and Materials, 682 (2014) 539-543.

DOI: 10.4028/www.scientific.net/amm.682.539

Google Scholar

[4] E.V. Telipenko, A.A. Zakharova Bankruptcy Risk Management of a Machine Builder, J. Applied Mechanics and Materials, 682 (2014) 617-622.

DOI: 10.4028/www.scientific.net/amm.682.617

Google Scholar

[5] A. Tceplit, A. Grigoreva, Y. Osipov,  Developing the Model for Assessing the Competitiveness of Innovative Engineering Products, J. Applied Mechanics and Materials. 682 (2014) 623-630.

DOI: 10.4028/www.scientific.net/amm.682.623

Google Scholar

[6] T.Y. Chernysheva Preliminary risk assessment in it projects, J. Applied Mechanics and Materials. 379 (2013) 220-223.

DOI: 10.4028/www.scientific.net/amm.379.220

Google Scholar

[7] S.V. Razumnikov, A.A. Zakharova, M.S. Kremneva, A Model of Decision Support on Migration of Enterprise IT-Applications in the Cloud Environment, J. Applied Mechanics and Materials . 682 (2014) 600-605.

DOI: 10.4028/www.scientific.net/amm.682.600

Google Scholar

[8] D. Leigh, Chapter 5. SWOT Analysis, in: Handbook of Improving Performance in the Workplace, J. John Wiley & Sons, Ltd. 2 (2009) 115–140.

Google Scholar

[9] G. Panagiotou, Bringing SWOT into focus, Business Strategy Review. 14 (2) (2003) 8–10.

DOI: 10.1111/1467-8616.00253

Google Scholar

[10] W. Edwards Deming, The New Economics for Industry, Government, Education, 2nd ed., MIT Press, (2000).

Google Scholar

[11] A.A. Zakharova, Fuzzy swot analysis for selection of bankruptcy risk factors, J. Applied Mechanics and Materials. 379 (2013) 207-213.

DOI: 10.4028/www.scientific.net/amm.379.207

Google Scholar

[12] N. Bhushan, and K. Ria, Strategic Decision Making: Applying the Analytic Hierarchy Process, London: Springer-Verlag London Limited, (2004).

Google Scholar

[13] T.L. Saaty, The Analytic Hierarchy Process, New York: McGraw Hill. International, Translated to Russian, Portuguese, and Chinese, Revised editions, Paperback (1996, 2000), Pittsburgh: RWS Publications.

Google Scholar

[14] J. Ramik Fuzzy goals and fuzzy alternatives in goal programming problems, J. Fuzzy sets and systems, V. III. (2000) 81-86.

DOI: 10.1016/s0165-0114(98)00454-0

Google Scholar

[15] A.A. Zakharova, E.V. Telipenko, Integral evaluation index of an enterprise bankruptcy risk management strategy evaluation, J. Proceedings of Tomsk State University of Control Systems and Radioelectronics, 3 (2013) 152-15.

Google Scholar