Machine learning technology as a solution of the resource assignment spread issue in research and development projects

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.