Publication result detail

USING TREND MODELLING TO SUPPORT PROJECT SCHEDULING, MANAGEMENT, AND PREDICTION

DOSKOČIL, R.; DOUBRAVSKÝ, K.

Original Title

USING TREND MODELLING TO SUPPORT PROJECT SCHEDULING, MANAGEMENT, AND PREDICTION

English Title

USING TREND MODELLING TO SUPPORT PROJECT SCHEDULING, MANAGEMENT, AND PREDICTION

Type

WoS Article

Original Abstract

Project management is implemented as a finite sequence of diverse decisions. Every decision-making is based on information. The broad spectrum of information contains various types of data. Data having an exact representation, e.g. phenomena described by equations. Data that cannot have such a representation, e.g. experience, intuition, feelings. Such trend modelling allows us to work with this type of data. The article deals with the use of trend modelling as a support for project management and prediction under uncertainty. The solution of a trend model is a set of scenarios. These scenarios represent possible project states. A multi-criteria trend decision process allows one to identify the optimal project state(s). Based on the set of scenarios, a transition graph can be created, which can be used to determine all possible paths to get to this optimal state. The application of trend modelling is shown in a model of a project based on a six-pointed star.

English abstract

Project management is implemented as a finite sequence of diverse decisions. Every decision-making is based on information. The broad spectrum of information contains various types of data. Data having an exact representation, e.g. phenomena described by equations. Data that cannot have such a representation, e.g. experience, intuition, feelings. Such trend modelling allows us to work with this type of data. The article deals with the use of trend modelling as a support for project management and prediction under uncertainty. The solution of a trend model is a set of scenarios. These scenarios represent possible project states. A multi-criteria trend decision process allows one to identify the optimal project state(s). Based on the set of scenarios, a transition graph can be created, which can be used to determine all possible paths to get to this optimal state. The application of trend modelling is shown in a model of a project based on a six-pointed star.

Keywords

Project management; project management six constraints; project prediction; trend modelling; transition graph; trend optimisation

Key words in English

Project management; project management six constraints; project prediction; trend modelling; transition graph; trend optimisation

Authors

DOSKOČIL, R.; DOUBRAVSKÝ, K.

RIV year

2024

Released

28.12.2023

Publisher

The Bucharest University of Economic Studies

Location

Bucharest, Romania

ISBN

0424-267X

Periodical

Economic Computation and Economic Cybernetics Studies and Research

Volume

57

Number

4

State

Romania

Pages from

75

Pages to

90

Pages count

15

URL

https://ecocyb.ase.ro/nr2023_4/05_RadekDoskocil_KarelDoubravsky.pdf

BibTex

@article{BUT186841,
  author="Radek {Doskočil} and Karel {Doubravský}",
  title="USING TREND MODELLING TO SUPPORT PROJECT SCHEDULING, MANAGEMENT, AND PREDICTION",
  journal="Economic Computation and Economic Cybernetics Studies and Research",
  year="2023",
  volume="57",
  number="4",
  pages="75--90",
  doi="10.24818/18423264/57.4.23.05",
  issn="0424-267X",
  url="https://ecocyb.ase.ro/nr2023_4/05_RadekDoskocil_KarelDoubravsky.pdf"
}