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Complex model for project dynamics prediction. / Dli, Maxim; Ofitserov, Alexander; Stoianova, Olga; Fedulov, Alexander.

In: International Journal of Applied Engineering Research, Vol. 11, No. 22, 01.01.2016, p. 11046-11049.

Research output: Contribution to journal › Article › peer-review

Harvard

Dli, M, Ofitserov, A, Stoianova, O & Fedulov, A 2016, 'Complex model for project dynamics prediction', International Journal of Applied Engineering Research, vol. 11, no. 22, pp. 11046-11049.

APA

Dli, M., Ofitserov, A., Stoianova, O., & Fedulov, A. (2016). Complex model for project dynamics prediction. International Journal of Applied Engineering Research, 11(22), 11046-11049.

Vancouver

Dli M, Ofitserov A, Stoianova O, Fedulov A. Complex model for project dynamics prediction. International Journal of Applied Engineering Research. 2016 Jan 1;11(22):11046-11049.

Author

Dli, Maxim ; Ofitserov, Alexander ; Stoianova, Olga ; Fedulov, Alexander. / Complex model for project dynamics prediction. In: International Journal of Applied Engineering Research. 2016 ; Vol. 11, No. 22. pp. 11046-11049.

BibTeX

@article{6fe0e4242d2a4f5cbb9bce05f1ca6670,
title = "Complex model for project dynamics prediction",
abstract = "The article considers an approach to project dynamics prediction based on a complex model of the project. Project dynamics characterized by the set of integrated indicators of project goals attainability. The proposed model unlike common used network project models represents logical and temporal relations between project goals, external events and control actions. Quantitative indicators of project performance as well as expert estimations of events impacts on the project at different moments of time are used for prediction of project goals feasibility. The results of prediction can be used for analysis of management decisions under uncertainty.",
keywords = "Prediction, Project dynamics, Project model, Uncertainty",
author = "Maxim Dli and Alexander Ofitserov and Olga Stoianova and Alexander Fedulov",
year = "2016",
month = jan,
day = "1",
language = "English",
volume = "11",
pages = "11046--11049",
journal = "International Journal of Applied Engineering Research",
issn = "0973-4562",
publisher = "Research India Publications",
number = "22",

}

RIS

TY - JOUR

T1 - Complex model for project dynamics prediction

AU - Dli, Maxim

AU - Ofitserov, Alexander

AU - Stoianova, Olga

AU - Fedulov, Alexander

PY - 2016/1/1

Y1 - 2016/1/1

N2 - The article considers an approach to project dynamics prediction based on a complex model of the project. Project dynamics characterized by the set of integrated indicators of project goals attainability. The proposed model unlike common used network project models represents logical and temporal relations between project goals, external events and control actions. Quantitative indicators of project performance as well as expert estimations of events impacts on the project at different moments of time are used for prediction of project goals feasibility. The results of prediction can be used for analysis of management decisions under uncertainty.

AB - The article considers an approach to project dynamics prediction based on a complex model of the project. Project dynamics characterized by the set of integrated indicators of project goals attainability. The proposed model unlike common used network project models represents logical and temporal relations between project goals, external events and control actions. Quantitative indicators of project performance as well as expert estimations of events impacts on the project at different moments of time are used for prediction of project goals feasibility. The results of prediction can be used for analysis of management decisions under uncertainty.

KW - Prediction

KW - Project dynamics

KW - Project model

KW - Uncertainty

UR - http://www.scopus.com/inward/record.url?scp=85002618177&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:85002618177

VL - 11

SP - 11046

EP - 11049

JO - International Journal of Applied Engineering Research

JF - International Journal of Applied Engineering Research

SN - 0973-4562

IS - 22

ER -

ID: 36349718