STOCHASTIC PROCESSES IN PROJECT MANAGEMENT
Abstract
Performance of planned activities not always leads to the achievement of planned results in innovation projects with a high degree of uncertainty. Management of such specific projects requires the usage of specific methods and processes. It is necessary to develop own stochastic process methods rather than use classical methods of deterministic management.
The main peculiarity of stochastic processes of projects consists in the inability to carry out more than one experiment. Implementation of a project is a stochastic process, which is carried out only once.
For the purposes of the research, stochastic project management is the process of organisation, planning and control over projects, in which the decisions and actions of managers are described by stochastic functions. If the project realisation is described by stochastic processes, the project management process is indeed described by stochastic processes.
This research suggests a project management approach based on the focus on the project product and project management as stochastic processes based on stochastic functions. It is demonstrated that stochastic function values, which underlie the stochastic processes, are formed by the intellectual instruments of those involved in the project and are developed on the basis of their knowledge and skills. The latter, in turn, are the result of studying and practical work on the project. Therefore, it is difficult to predict decisions and actions of managers and contractors, even if internal and external influences on them are specified. Then, any decisions or actions of such persons with regard to the external observer are described by stochastic functions.
The purpose of this study is to describe the processes of stochastic project management. The purpose of the study is the project management process. The subject of research is the methods of stochastic project management. Within the framework of the study, all groups of processes of stochastic control will be mathematically described and the conditions of their impact determined.
The processes of stochastic project management are outlined and formally presented. These are the processes of project management organisation, the processes of project management support, processes of project content definition, processes of defining the resources, required for the project works, processes of project planning, processes of influence on contractors of actions (works).
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References
A Guide to the Project Management Body of Knowledge (PMBOK® Guide) Ed. 5 (2013). Project Management Institute, 590.
Kerzner, H. (2009). Project Management: A Systems Approach to Planning, Scheduling, and Controlling. Ed. 10. New Jersey: Wiley, 1120.
P2M «Program & Project Management for Enterprise Innovation» (2016). Project Management Association of Japan. Available at: http://www.pmaj.or.jp/ENG/p2m/p2m_guide/p2m_guide.html
Aaltonen, K., Kujala, J. (2010). A project lifecycle perspective on stakeholder influence strategies in global projects. Scandinavian Journal of Management, 26 (4), 381–397. doi: http://doi.org/10.1016/j.scaman.2010.09.001
Dehmer, J., Niemann, J. (2017). Value chain management through cloud-based platforms. Procedia - Social and Behavioral Sciences Volume 74, 29 March 2013, Pages 61-70. doi: https://doi.org/10.1016/j.sbspro.2018.03.021
The Standard for Portfolio Management Ed. 3 (2013). Project Management Institute, 189.
Teslya, Yu., Khlevna, Yu., Yehorchenkova, N. (2016). Knowledge management in the meta-metodology of project planning. Project management and production development, 4 (60), 53–61.
Teslya, Yu. (2010). Introduction to the nature informatics. Kyiv: Maklaut, 256.
Teslya, Yu., Kontsevych, V. (2013). Enhancement of project quality on the basis of introformational method of proactive human resources management. Project management and production development, 1 (45), 83–88.
Timinsky, A., Oberemok, I., Oberemok, N. (2017). Development of methodology of efficiency estimation of management technology of project-oriented organizations. Technology Audit and Production Reserves, 2 (2 (34)), 24–29. doi: http://doi.org/10.15587/2312-8372.2017.100213
Oberemok, I., Oberemok, N. (2017). Development of mathematical model of decision making based on analysis of values of stakeholders. Technology Audit and Production Reserves, 1 (2 (33)), 13–18. doi: http://doi.org/10.15587/2312-8372.2017.93461
Zatserkovnyi, V., Oberemok, I., Oberemok, N., Yehorchenkova, N. (2016). Integration of project management processes at the planning stage to the corporate business processes. Technology Audit and Production Reserves, 6 (1 (32)), 35–42. doi: http://doi.org/10.15587/2312-8372.2016.86176
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