EXPERIMENTAL STUDIES OF A MODEL FOR OPTIMIZING THE PORTFOLIO OF A PROJECT-ORIENTED ORGANIZATION BASED ON THE ENTROPY CONCEPT
DOI:
https://doi.org/10.30837/ITSSI.2020.14.021Keywords:
project, portfolio, model, energy entropy, information entropy, energy efficiencyAbstract
The subject of the research is the optimization of the composition of the project portfolio based on the entropy concept. The aim of the study is to experimentally test the model for optimizing the portfolio of a project-oriented organization and substantiate its applicability in practice in management processes to ensure their effectiveness. Research objectives: forming a model taking into account the accepted value of the organization; formation of initial data on the organization and alternative projects; portfolio optimization by model and interpretation of results. Research methods: system analysis, functional analysis, operations research. Results. A model has been developed for forming a portfolio structure from projects of two categories – operational and development; the optimization criterion is to minimize the discrepancy between the desired and actually provided value of the organization. The restrictions take into account the maximum allowable energy limit and the minimum allowable value limit. As a result of the study, the applicability and adequacy of the model for optimizing the portfolio structure of a project-oriented organization were substantiated. The model makes it possible to obtain solutions on the optimal structure of a portfolio of projects in terms of its value under given resource constraints (in the form of a share of total energy and output energy) and energy entropy. The studies substantiated the possibility of adjusting the model in terms of the optimization criterion (maximizing value, minimizing energy entropy) and adding restrictions on the maximum permissible border of information entropy and energy efficiency. Conclusions. The model under consideration is characterized by wide practical application, taking into account its possible adjustment without changing the basic essence, taking into account the specifics of a particular field of activity or organization. The practical use of the main indicators of the entropy concept - information entropy, temperature, energy entropy, which characterize the state of organizations, allowing to identify hidden problems before they are reflected on the traditional indicators of organizational performance is demonstrated. Taking this into account, the structure of the project portfolio is being formed within the framework of the considered approach.
References
Bushuev, S. D., Verenich, E. V., Bushuev, D. A., Yaroshenko, R. F. (2017), "Formal model of the mental space of a project or program", Radioelectronics, Informatics, Management, No. 1, P. 153–160.
Bushuyev, S., Bushuyeva, N. (2010), "Mechanisms of forming of value in activity of the design-managed organizations", Eastern European Journal of Advanced Technologies, Vol. 1, No. 2 (43), P. 4–9.
Onyshсhenko, S., Loginov, O. (2016), "Organization of tasks distribution by departments of project-oriented university", Technology Audit and Production Reserves, No. 4 (3), P. 61–67. DOI: https://doi.org/10.15587/2312-8372.2016.76138
Onyshchenko, S. P., Arabadzhy, E. S. (2011), "Formation of the optimal enterprise development program", Eastern-European Journal Of Enterprise Technologies, Vol. 6, No. 3 (54), P. 60-66.
Bondar, A. (2020), "Energy-entropic value of organization’s resources", Innovative Technologies and Scientific Solutions for Industries, No. 2 (12), P. 5–12. DOI: https://doi.org/10.30837/2522-9818.2020.12.005
Jae-Yoon Jung, Chang-Ho Chin and Jorge Cardoso (2011), "An entropy-based uncertainty measure of process models", Information Processing Letters, No. 111 (3), P. 135–141.
Abbas, E. (2006), "Entropy methods for joint distributions in decision analysis", in IEEE Transactions on Engineering Management, Vol. 53, No. 1, P. 146–159. DOI: https://doi.org/10.1109/TEM.2005.861803
Han, W., Zhu, B. (2017), "Research on New Methods of Multi-project Based on Entropy and Particle Swarm Optimization for Resource Leveling Problem", Advances in Engineering Research (AER), No. 124, P. 215-221.
Downarowicz, T. (2011), Entropy in Dynamical Systems (New Mathematical Monographs), Cambridge: Cambridge University Press. DOI: https://doi.org/10.1017/CBO9780511976155
Bondar, A., Onyshсhenko, S., Vishnevskyi, D., Vishnevska, O., Glovatska, S., Zelenskyi, A. (2020), "Constructing and investigating a model of the energy entropy dynamics of organizations", Eastern-European Journal of Enterprise Technologies, Vol. 3, No. 3 (105). DOI: https://doi.org/10.15587/1729-4061.2020.206254
Bondar, A., Bushuyev, S., Onyshchenko, S., Hiroshi, H. (2020), "Entropy Paradigm of Project-Oriented Organizations Management", Proceedings of the 1st International Workshop IT Project Management (ITPM 2020), Lviv, Ukraine, February 18-20, 2020, CEUR Workshop Proceedings (CEUR-WS.org), Vol. 1, P. 233–243, available at : http://ceur-ws.org/Vol-2565/paper20.pdf
Bondar, A. (2020), "Modeling the portfolio structure of a project-oriented organization based on an entropy concept", Technology audit and production reserves, No. 5/2 (55), P. 23–38. DOI: https://doi.org/10.15587/2706-5448.2020.215394
Project Management Institute (2013), The Standard of Portfolio Management, 3rd edition, PMI, P. 189, available at :https://www.pmi.org/-/media/pmi/documents/public/pdf/certifications/standard-for-portfolio-management-third-edition.pdf?v=95a98c16-aebd-4f01-9e21-4769fbad4891
Onyshchenko, S., Leontieva, А. (2018), "Modeling of the optimal composition of the enterprise technical development program", Technology audit and production reserves, No. 5 (2), P. 36–41. DOI: https://doi.org/10.15587/2312-8372.2018.146463
Kononenko, I. V., Bukreeva, K. S. (2010), "Model and method of optimization of enterprise project portfolios for the planning period", Eastern-European Journal of Enterprise Technologies, Vol. 1, No. 2 (43), P. 9–11.
Onyshсhenko, S., Bondar, A., Andrievska, V., Sudnyk, N., Lohinov, O. (2019), "Constructing and exploring the model to form the road map of enterprise development", Eastern-European Journal of Enterprise Technologies, Vol. 5, No. 3 (101), P. 33–42. DOI: https://doi.org/10.15587/1729-4061.2019.179185
Jennifer Bender and Xiaole Sun (2020), "A Closer Look at the Factor-to-Specific Risk Ratio in Factor Portfolios", The Journal of Portfolio Management. Quantitative Special Issue, No. 46 (2), P. 11–23. DOI: https://doi.org/10.3905/jpm.2019.1.117
Xiao Qiao, Sibo Yan and Binbin Deng (2020), "Downside Volatility-Managed Portfolios", The Journal of Portfolio Management, No. 46 (7), P. 13–29. DOI: https://doi.org/10.3905/jpm.2020.1.162
Miia Martinsuo, Joana Geraldi (2020), "Management of project portfolios: Relationships of project portfolios with their contexts", International Journal of Project Management. DOI: https://doi.org/10.1016/j.ijproman.2020.02.002
Stefano Chiliberti and Stanislao Gualdi (2020), "Portfolio Construction Matters", The Journal of Portfolio Management, No. 46 (7), P. 46–57. DOI: https://doi.org/10.3905/jpm.2020.1.155
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2020 Alla Bondar, Svitlana Onyshchenko
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Our journal abides by the Creative Commons copyright rights and permissions for open access journals.
Authors who publish with this journal agree to the following terms:
Authors hold the copyright without restrictions and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-commercial and non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
Authors are permitted and encouraged to post their published work online (e.g., in institutional repositories or on their website) as it can lead to productive exchanges, as well as earlier and greater citation of published work.