Economics and management
Аuthors
Moscow Aviation Institute (National Research University), 4, Volokolamskoe shosse, Moscow, А-80, GSP-3, 125993, Russia
e-mail: s_volodin@bk.ru
Abstract
The aim of this work is to develop a model of strategic project management in the face of uncertainty and taking into account the specifics of the aerospace industry. It was also intended to identify the impact on the efficiency of the projects the intensity of competition and the time factor.The methodology of this paper is based on a common approach to the management of development and change (mainly at the organizational level). Additionally Approaches related to the STEP-and SWOT-analysis, competitive analysis and portfolio current and developing project management strategies. To estimate the discount rate adopted cumulative construction method using probability theory to calculate the random variation of the variable part of the discount rate.
As a result of the generated model of the strategic management of the project, which builds on the definition of objectives and the expectations of stakeholders. On the model examples with realistic initial data shows economic costs associated with an increase in the number of competitors in the industry, the benefits of the integration of its members, the impact position of the leader and the follower. In the Stochastic see the effects on investment.
Results of the development model of strategic management of projects under uncertainty can be of practical use in the aerospace industry with goal-setting, the feasibility study and development of network planning perspective.
This paper proposes new approaches to assessing the impact on the efficiency and effectiveness of projects deviations from nominal conditions for their implementation. It should be noted cyclic model of strategic project management, which takes into account the presence of feedback caused by the need to adjust for the purposes of identifying defects strategy mismatch of needs and available resources of the project. Also are original approaches to the parametric study of the structure of markets and the use of a random number generator to assess possible changes in the efficiency of investment in aerospace design. The results can be useful researchers, graduate students and applicants of the Moscow Aviation Institute, and other institutions that are working in the field of aerospace engineering.
Keywords:
project management, development parameters in a mass production, the payback period of the project, the phases of the life cycle of the project, the net present valueReferences
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- Volodin S.V. Sovremennyi menedzhment: problemy, gipotezy, issledovaniya. Sbornik statei, Moscow, 2011, pp. 344-354.
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