Development of a multilingual intelligent project planning and monitoring system
DOI:
https://doi.org/10.15587/1729-4061.2023.277618Keywords:
project planning, project monitoring, multilingual systems, reflexive method, information interactionAbstract
The object of research of this work is the processes of project planning and monitoring. The solved problem is the development of a model, method and structures of a multilingual intelligent project planning and monitoring system and its experimental verification of the ability to understand the statements of managers in different languages.
The requirements for such a system are formulated. An analysis of the existing theoretical and practical developments in this area was carried out. It was established that there are no developments in the field of project management that can adapt to new natural languages. It was found that the formulated requirements can be satisfied within the framework of the reflexive approach. It is characterized by simplicity, continuity, and insensitivity to errors in natural language statements. To confirm these assumptions, an experimental multilingual project planning and monitoring system and experimental research methodology were developed.
The results of the experiments obtained during the use of the created experimental system testify to the correct identification of the content of appeals to the intellectual system in 6 languages with a probability higher than 0.99, and to recognize the structure of statements with a probability higher than 0.98. And the time for configuring the system to work with a new language did not exceed 1 hour. This allows to use it for practical work in distributed management systems for remote interaction of managers and specialists with the system in different languages.
The conducted experiments confirmed the assumption about the effectiveness of the reflexive approach for creating project management systems.
The developed model, method, structures, and system can be used for different types of projects, such as regional development projects, IT, etc.
References
- Wagner, D. N. (2016). Breakin’the Project Wave: Understanding and avoiding failure in project management. PM World Journal, 1 (1), 1–21. Available at: https://www.researchgate.net/publication/320840114_Breakin%27_the_Project_Wave_Understanding_and_avoiding_failure_in_project_management
- Magd, H., Jonathan, H., Khan, S. A., El Geddawy, M. (2022). Artificial Intelligence – The Driving Force of Industry 4.0. A Roadmap for Enabling Industry 4.0 by Artificial Intelligence. doi: https://doi.org/10.1002/9781119905141.ch1
- Teixeira, L., Xambre, A. R., Figueiredo, J., Alvelos, H. (2016). Analysis and Design of a Project Management Information System: Practical Case in a Consulting Company. Procedia Computer Science, 100, 171–178. doi: https://doi.org/10.1016/j.procs.2016.09.137
- Chornous, G. O., Gura, V. L. (2020). Integration of Information Systems for Predictive Workforce Analytics: Models, Synergy, Security of Entrepreneurship. European Journal of Sustainable Development, 9 (1), 83. doi: https://doi.org/10.14207/ejsd.2020.v9n1p83
- Aleinikova, O. V., Dubinina, O. V., Kovtun, O. A., Berezhna, H. V., Ivkin, V. M., Vinichenko, A. A., Shmahun, A. V. et al.; Kartashov, Ye., Dubinina, O. (Ed.) (2021). Ekonomichni, sotsialni ta informatsiini mekhanizmy formuvannia ta vdoskonalennia systemy upravlinnia proiektamy. Kyiv: DZVO «Universytet menedzhmentu osvity», 396.
- Alto, P. (2017). Infosys Launches Infosys Nia™ – The Next Generation Integrated Artificial Intelligence Platform. Infosys. Available at: https://www.infosys.com/newsroom/press-releases/2017/nia-artificial-intelligence-enterprise.html
- Aston, B. (2023). 15 best project management software you need in 2023. Digital Project Manager. Available at: https://thedigitalprojectmanager.com/tools/best-project-management-software/
- Kostalova, J., Tetrevova, L., Svedik, J. (2015). Support of Project Management Methods by Project Management Information System. Procedia – Social and Behavioral Sciences, 210, 96–104. doi: https://doi.org/10.1016/j.sbspro.2015.11.333
- Iegorchenkov, O., Yehorchenkova, N. (2016). Product-resource planning system. 2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP). Lviv, 29–33. doi: https://doi.org/10.1109/dsmp.2016.7583501
- Oliveira, J., Tereso, A., Machado, R. J.; Rocha, Á., Correia, A., Tan, F., Stroetmann, K. (Eds.) (2014). An Application to Select Collaborative Project Management Software Tools. Advances in Intelligent Systems and Computing. Vol. 275. Cham: Springer, 467–476. doi: https://doi.org/10.1007/978-3-319-05951-8_44
- Richards, R., Stottler, R. (2019). Complex Project Scheduling Lessons Learned from NASA, Boeing, General Dynamics and Others. 2019 IEEE Aerospace Conference. Big Sky, 1–9. doi: https://doi.org/10.1109/aero.2019.8741996
- Partanen, J. (2016). Liquid planning, wiki-design – Learning from the Case Pispala. Environment and Planning B: Planning and Design, 43 (6), 997–1018. doi: https://doi.org/10.1177/0265813516647965
- Braglia, M., Frosolini, M. (2014). An integrated approach to implement Project Management Information Systems within the Extended Enterprise. International Journal of Project Management, 32 (1), 18–29. doi: https://doi.org/10.1016/j.ijproman.2012.12.003
- Baharom, M. A. A., Rahman, M. S. A., Sabudin, A. R., Nor, M. F. M.; Ahmad, F., Al-Kayiem, H. H., King Soon, W. P. (Eds.) (2023). Decision Support Tools: Machine Learning Application in Smart Planner. ICPER 2020. Lecture Notes in Mechanical Engineering. Singapore: Springer, 753–760. doi: https://doi.org/10.1007/978-981-19-1939-8_58
- Chang, C. K., Christensen, M. J., Zhang, T. (2001). Genetic Algorithms for Project Management. Annals of Software Engineering, 11 (1), 107–139. doi: https://doi.org/10.1023/a:1012543203763
- Kaiafa, S., Chassiakos, A. P. (2015). A Genetic Algorithm for Optimal Resource-driven Project Scheduling. Procedia Engineering, 123, 260–267. doi: https://doi.org/10.1016/j.proeng.2015.10.087
- Alberto Araúzo, J., Pajares, J., Lopez Paredes, A., Pavón, J. (2009). Agent-based modeling and simulation of multiproject scheduling. Proceedings of the Second Multi-Agent Logics, Languages, and Organisations Federated Workshops. Turin. Available at: http://ceur-ws.org/Vol-494/masspaper8.pdf
- Apanaviciene, R., Juodis, A. (2007). Modelling of Construction Project Management Effectiveness by Applying Neural Networks. Available at: https://www.irbnet.de/daten/iconda/CIB1853.pdf
- Hu, Y., Huang, J., Chen, J., Liu, M., Xie, K. (2007). Software Project Risk Management Modeling with Neural Network and Support Vector Machine Approaches. Third International Conference on Natural Computation (ICNC 2007). doi: https://doi.org/10.1109/icnc.2007.672
- Pellerin, R., Perrier, N. (2018). A review of methods, techniques and tools for project planning and control. International Journal of Production Research, 57 (7), 2160–2178. doi: https://doi.org/10.1080/00207543.2018.1524168
- Raju, R. S., Bhattacharjee, P., Ahmad, A., Rahman, M. S. (2019). A Bangla Text-to-Speech System using Deep Neural Networks. 2019 International Conference on Bangla Speech and Language Processing (ICBSLP). Sylhet, 1–5. doi: https://doi.org/10.1109/icbslp47725.2019.202055
- Teslia, I., Yegorchenkov, O., Khlevna, I., Yegorchenkova, N., Kataeva, Y., Khlevny, A., Klevanna, G. (2022). Development of the concept of intelligent add-on over project planning instruments. Participants of the ITEST, 47.
- Teslia, I., Yehorchenkova, N., Yehorchenkov, O., Khlevna, I., Kataieva, Y., Veretelnyk, V. et al. (2022). Development of the concept of construction of the project management information standard on the basis of the primadoc information management system. Eastern-European Journal of Enterprise Technologies, 1 (3 (115)), 53–65. doi: https://doi.org/10.15587/1729-4061.2022.253299
- Teslia, I., Yehorchenkova, N., Khlevna, I., Yehorchenkov, O., Kataieva, Y., Klevanna, G. (2022). Development of Reflex Technology of Action Identification in Project Planning Systems. 2022 International Conference on Smart Information Systems and Technologies (SIST). Nur-Sultan, 1–6. doi: https://doi.org/10.1109/sist54437.2022.9945727
- Google Translate. Available at: https://translate.google.com/?hl=uk&sl=ru&tl=sk&op=docs
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Copyright (c) 2023 Iurii Teslia, Nataliia Yehorchenkova, Oleksii Yehorchenkov, Iulia Khlevna, Yevheniia Kataieva, Ganna Klievanna, Andrii Khlevnyi, Tatiana Latysheva, Ivan Ivanov, Anton Sazonov
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