Machine learning technology as a solution of the resource assignment spread issue in research and development projects
Publication type: Proceedings Article
Publication date: 2020-09-07
Abstract
This paper describes the issue of quality control and management in the field of non-threaded form of aircraft production. Frequently, many enterprise projects are executed at the same time. These projects use shared resources and it tends to increase the role of project planning in the field of quality management. The main aim of project planning system is to maintain a steady resource assignment spread with a compliance of a contract terms. It occurs two issues. The first issue is to perform the project scheduling and the second one is to identify and evaluate risks. A reasonable approach to tackle these issues is to involve the machine learning technology to solve a problem that occurs from cross influence of projects. Suggested method will probably increase accuracy and distance of project scheduling that acts on production quality improvement. In addition, produced regression function can be used to identify and evaluate risks.
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Institute of Electrical and Electronics Engineers (IEEE)
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Vasiliev V. A., Mayborodin A. B., Kramarenko X. D. Machine learning technology as a solution of the resource assignment spread issue in research and development projects // Proceedings of the 2020 IEEE International Conference "Quality Management, Transport and Information Security, Information Technologies", IT and QM and IS 2020. 2020. pp. 310-312.
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Vasiliev V. A., Mayborodin A. B., Kramarenko X. D. Machine learning technology as a solution of the resource assignment spread issue in research and development projects // Proceedings of the 2020 IEEE International Conference "Quality Management, Transport and Information Security, Information Technologies", IT and QM and IS 2020. 2020. pp. 310-312.
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TY - CPAPER
DO - 10.1109/ITQMIS51053.2020.9322991
UR - https://doi.org/10.1109/ITQMIS51053.2020.9322991
TI - Machine learning technology as a solution of the resource assignment spread issue in research and development projects
T2 - Proceedings of the 2020 IEEE International Conference "Quality Management, Transport and Information Security, Information Technologies", IT and QM and IS 2020
AU - Vasiliev, Victor A
AU - Mayborodin, Alexander B
AU - Kramarenko, Xenia D
PY - 2020
DA - 2020/09/07
PB - Institute of Electrical and Electronics Engineers (IEEE)
SP - 310-312
ER -
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@inproceedings{2020_Vasiliev,
author = {Victor A Vasiliev and Alexander B Mayborodin and Xenia D Kramarenko},
title = {Machine learning technology as a solution of the resource assignment spread issue in research and development projects},
year = {2020},
pages = {310--312},
month = {sep},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)}
}
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