Abstract
The necessity of intellectualization of project planning processes is shown. The principles and tasks of intellectualization of the project planning process are formulated. The concept of intelligent add-on over project management software tools is proposed, which includes the principles, approach, structure, model and tools of project planning. Stages and tasks of project planning with the use of intelligent add-on are highlighted. The structure of intelligent project planning technology has been developed. It is proposed to use a modified reflex method to implement an intelligent add-on to MS Project or Oracle Primavera P6 tools. The model of development of reactions to the flow of input data on the project plan in the intelligent add-on is proposed. The developed concept and means of the intelligent add-on have passed experimental and practical testing on real projects and shown their effectiveness in project planning.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Teslia, I., Kubyavka, L., Yegorchenkov, O., Yegorchenkova, N.: Software and information add-ons in the management of portfolios of projects and programs. Sci. Collect.: Inf. Processes Technol. Syst. Transp. 1, 11–24 (2014)
Teslia, I., Yegorchenkova, N., Yegorchenkov, O., Khlevna, I., Kataieva, Y., et al.: Development of the concept of construction of the project management information standard on the basis of the PrimaDoc information management system. East.-Eur. J. Adv. Technol. 1/3(115), 53–65 (2022)
Hildebrand, C., Efthymiou, F., Busquet, F., Hampton, W., Hoffman, D., Novak, T.: Voice analytics in business research: conceptual foundations, acoustic feature extraction, and applications. J. Bus. Res. 121, 364–374 (2020). https://doi.org/10.1016/j.jbusres.2020.09.020
Cui, Zh., Gong, H., Wang, Ya., Shen, Ch., Zou, W., Luo, Sh.: Enhancing interactions for in-car voice user interface with gestural input on the steering wheel. In: 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, pp. 59–68 (2021). https://dl.acm.org/doi/https://doi.org/10.1145/3409118.3475126
Long, Yi., Peng, Ya.: Development and validation of a robotic system combining mobile wheelchair and lower extremity exoskeleton. J. Intell. Robot. Syst. 104, 5 (2022). https://doi.org/10.1007/s10846-021-01550-8
Ng, S.-C., et al.: An intelligent mobile application for assisting visually impaired in daily consumption based on machine learning with assistive technology. Int. J. Artif. Intell. Tools 30(01), 2140002 (2021). https://doi.org/10.1142/S0218213021400029
Birch, B., Griffiths, C., Morgan, A.: Environmental effects on reliability and accuracy of MFCC based voice recognition for industrial human-robot-interaction. Proc. Inst. Mech. Eng. Part B: J. Eng. Manuf. 235(12), 1939–1948 (2021). https://doi.org/10.1177/09544054211014492
Al-Amri, R., Murugesan, R.K., Alshari, E.M., Alhadawi, H.S.: Toward a full exploitation of IoT in smart cities: a review of IoT anomaly detection techniques. In: Proceedings of International Conference on Emerging Technologies and Intelligent Systems (ICETIS), pp. 193–214. (2021). https://doi.org/10.1016/j.scs.2017.12.034
Khaled, M.A.M.: Applications of artificial intelligence in project management. Rel. Alberto De Marco, Filippo Maria Ottaviani. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Gestionale (Engineering and Management) (2021). https://webthesis.biblio.polito.it/18431/
Morozov, V., Mezentseva, O.: Development of optimization models of complex infocommunication projects based on data mining. In: IEEE International Conference on Smart Information Systems and Technologies (SIST), pp. 1–7 (2021). https://doi.org/10.1109/SIST50301.2021.9465991
Kovtunenko, Y.V.: Application of artificial intelligence in the enterprise management system: problems and advantages. Econ. J. Odessa Polytech. Univ. 2(8), 93–99 (2019). https://doi.org/10.5281/zenodo.4171114, https://economics.opu.ua/ejopu/2019/No2/93.pdf
Kapliński, O., Zavadskas, E.: Expert systems for construction processes. Statyba 3(12), 49–61 (1997). https://doi.org/10.1080/13921525.1997.10531367
Starukh, A.I.: Application of expert systems in the business environment. Scientific Bulletin of the International Humanities University, pp. 114–121 (2020). http://www.vestnik-econom.mgu.od.ua/journal/2020/41-2020/17.pdf
Shorikov, A.F.: Expert system of investment design. Appl. Inform. 5(47), 96–104 (2013)
Shorikov, A.F.: Technology for the development of a computer expert system for business planning. Bull. Perm Sci. Cent. 2, 78–82 (2016)
Teslia, I., Yehorchenkova, N., Khlevna, I., Yehorchenkov, O., Kataieva, Y., Klevanna, G.: Development of reflex technology of action identification in project planning systems. In: International Conference on Smart Information Systems and Technologies, Nur-Sultan (2022). https://sist.astanait.edu.kz/
Teslia, I., et al.: Method development of coordination of design and operational activities in the process of manufacturing complex scientific computer products. East. Eur. J. Adv. Technol. 6(114), 83–92 (2021)
Teslia, I., Pylypenko, V., Popovych, N., Chornyy, O.: The non-force interaction theory for reflex system creation with application to TV voice control. In: 6th International Conference on Agents and Artificial Intelligence, LERIA, France, pp. 288–296 (2014)
Ryzhakova, G., Chupryna, K., Ivakhnenko, I., Derkach, A., Huliaiev, D.: Expert-analytical model of management quality assessment at a construction enterprise. Sci. J. Astana IT Univ. 3, 71–82 (2020). https://doi.org/10.37943/AITU.2020.69.95.007
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Teslia, I. et al. (2023). Development of the Concept of Intelligent Add-On over Project Planning Instruments. In: Faure, E., Danchenko, O., Bondarenko, M., Tryus, Y., Bazilo, C., Zaspa, G. (eds) Information Technology for Education, Science, and Technics. ITEST 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 178. Springer, Cham. https://doi.org/10.1007/978-3-031-35467-0_10
Download citation
DOI: https://doi.org/10.1007/978-3-031-35467-0_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-35466-3
Online ISBN: 978-3-031-35467-0
eBook Packages: EngineeringEngineering (R0)