STRUCTURE OF THE PROJECT-ORIENTED ORGANIZATION ENERGY ENTROPY

S. Biloshchytska, A. Bondar, S. Bushuyev, N. Malaksiano

Аннотация


This study presents the universal formalization of energy entropy for various organizations and its expression for project-oriented organizations. The energy entropy of organizations is determined by information entropy, total energy and the ratio of the achieved level of energy efficiency to the «ideal» level. Entropy is viewed as a measure of uncertainty in the information and organizational space. In the information space, it determines the measure of the missing information for making decisions. In the organizational space, entropy determines the level of entrepreneurial energy that is necessary for the successful operation of an organization in the implementation of projects and programs. The relationship between energy entropy and informational (structural) entropy of project-oriented organizations is established. It is determined that when adding a new project to the current totality, the organization must ensure a balance between the growth of uncertainty (information entropy) and energy efficiency. The method of «decomposition» of the total energy entropy of project-oriented organizations in the form of the sum of local energy entropies for projects is presented. The effect of adding a new project to the structure of a project-oriented organization on its integrated energy entropy is investigated. The presented results form a new look at the qualitative assessment of both a single project and the entire set of projects of a project-oriented organization.

Ключевые слова


project, entropy, energy, model, efficiency.

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Литература


Averin, G. V., & Zvyagintseva, A. V. (2016). On the relationship of statistical and information entropy

in the description of the states of complex systems. Scientific Bulletin of the Belgorod State University.

Series: Mathematics. Physics. 44 (20), 105-116.

Bondar, A.V., & Onyshchenko, S.P. (2019). Optimization of project time parameters. Management of

Development of Complex Systems, 39, 11-18 https://doi.org/10.6084/M9.FIGSHARE.11340629.V1

Bondar, A.V. (2019) The concept of the value of the human resources of a project-oriented organization.

Proceedings of Admiral Makarov NUS, Helvetik Publishing House, 1, 135–141. https://doi.

org/10.15589/znp2019.1(475).19

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), 1, 233-243. Kyiv, Ukraine, February 18-20, CEUR Workshop Proceedings. http://ceurws.org/Vol-2565/paper20.pdf

Bushuyev, S. & Verenych, O. (2018). Organizational Maturity and Project: Program and Portfolio

Success. Developing Organizational Maturity for Effective Project Management, Under the head. ed. G.

Silvius&G. Karayaz, IGI Global, 349. (chapter 6. 104–127). DOI: 10.4018/978-1-5225-3197-56.

Bushuyev, S., Kozyr, B., & Rusan, N. (2020). Modeling of Empathy, Emotional Intelligence and

Transformational Leadership to the Project Success. Mathematical Modelling and Simulation of

Systems. Advances in Intelligent Systems and Computing Book Series. Springer AG, 972, 209-222.

Bushuyev, S., & Sochnev, S. (1999). Entropy measurement as a project control tool. International

Journal of Project Management, 17 (6), 343-350.

Han, W., & Zhu, B. (2017). Research on New Methods of Multi-project Based on Entropy and Particle

Swarm Optimization for Resource Leveling Problem. 2nd International Symposium on Advances in

Electrical, Electronics and Computer Engineering. DOI: 10.2991/isaeece-17.2017.40

Jae-Yoon Jung, Chang-Ho Chin & Jorge Cardoso. (2011). An entropy-based uncertainty measure of

process models. Information Processing Letters, 111(3), 135-141.

Lіkhonosova, G. S. (2018). Entropy balance: the instrument for the consolidation of social and

economic vodtorgnenny. Chronicle of economic reforms, 2, 43-51.

Onyshchenko, S.P., & Arabaji E.S. (2011). Structure, purpose, product and value of the enterprise

development programs. Bulletin of the Odessa National Marine University, 33, 175-186.

Onyshchenko, S.,& Leontieva, A. (2018). Modeling of the optimal composition of the enterprise

technical development program. Technology audit and production reserves, vol. 5(2), 36-41. https://

doi.org/10.15587/2312-8372.2018.146463

Onyshсhenko, S., Bondar, A., Andrievska, V., Sudnyk, N., and Lohinov, O. (2019). Constructing and

exploring the model to form the road map of enterprise development. Eastern-European Journal of

Enterprise Technologies, T 5, 3(101), 33-42. https://doi.org/10.15587/1729-4061.2019.179185.

Shakhov, A. V. (2014). Entropy model of portfolio management of a project-oriented organization.

Project Management and Development of Network, no. 2. 87-95.

Stefancić, H., Žebec, M.S. and Perackovic, K. (2000). Approach to a quantitative description of social

systems based on thermodynamic formalism, Entropy, vol. 2, 98-105.

Stepanić, J., Sabol, G., & Žebec, S. (2005). Describing social systems using social free energy and

social entropy. Kybernetes, vol. 34 no. 6, 857-868. https://doi.org/10.1108/03684920510595535.

Lizunov, P., Biloshchytskyi, A., Kuchansky, A., Andrashko, Y., & Biloshchytska, S. (2019). Improvement

of the method for scientific publications clustering based on n-gram analysis and fuzzy method for

selecting research partners, Eastern-European Journal of Enterprise Technologies, vol. 4, no. 4(100),

–14. doi: 10.15587/1729-4061.2019.175139.

Bykov, V., Biloshchytskyi, A., Kuchansky A., Andrashko, Y., Dikhtiarenko, V. & Budnik, S. Development

of information technology for complex evaluation of higher education institutions. Information

Technologies and Learning Tool, 73 (5), 293–306. doi: 10.33407/itlt.v73i5.3397.

Kuchansky, A., Biloshchytskyi, A., Andrashko, Y., Biloshchytska, S., Honcharenko, T. and Nokolenko,

V. (2019). Fractal time series analysis in non-stationary environment, in Int. Scientific-Practical

Conference Problems of Infocommunications. Science and Technology (PIC S&T), 236–240. doi:

1109/PICST47496.2019.9061554.

Biloshchytskyi, A., Kuchansky, A., Andrashko, Y., Biloshchytska, S., & Danchenko O. (2018). Development

of infocommunication system for scientific activity administration of educational environment’s subjects.

In Int. Scientific-Practical Conference Problems of Infocommunications. Science and Technology

(PIC S&T), 369–372. doi: 10.1109/PICST47496.2018.8632036.

Biloshchytskyi, A., Kuchansky, A., Andrashko, Y. & Bielova, O. (2018). Learning space conceptual model for computing games developers. In IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), 97–102. DOI: 10.1109/PICST47496. 2018.8632036


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