Risk-based forecasting methods of knowledge-intensive product life-cycle resource provision

The paper is dedicated to the development of methods for predicting risk-based lifecycle resource provision in science-intensive projects. This method of whole-cycle prediction of changes in resource provision for science-intensive projects, which embraces risk factors, estimates appropriate real volumes of resource provision needed for engineering and producing science-intensive goods. It uses adaptive methods to estimate resource provision based on statistical data that is obtained at each phase of the project's life cycle. The method enables prognosis of appropriate resource provision levels at different phases of the science-intensive project with consideration of risk factors. This method implies PC calculation. Minimal use of expert estimates is its crucial characteristic, as it enables automated computation. © Published under licence by IOP Publishing Ltd.

Authors
Grosheva P.Yu. 1 , Yudin A.V. 1 , Myakishev Yu.D.2
Publisher
Institute of Physics Publishing
Number of issue
4
Language
English
Status
Published
Number
042084
Volume
537
Year
2019
Organizations
  • 1 RUDN University, Miklukho-Maklaya str. 6, Moscow, 117198, Russian Federation
  • 2 Murom Institute (Branch) of Vladimir State University Named after A.G. and N.G. Stoletovs, Orlovskaya str. 23, Murom, Vladimirskaya oblast', 602264, Russian Federation
Keywords
Automation; Forecasting; Adaptive methods; Cycle prediction; Expert estimates; Forecasting methods; Product life cycles; Project's life cycle; Resource provisions; Statistical datas; Life cycle
Date of creation
19.07.2019
Date of change
19.07.2019
Short link
https://repository.rudn.ru/en/records/article/record/38576/
Share

Other records