Detail publikace

A Dynamic Knowledge Model of Project Time-Cost Analysis Based on Trend Modelling

DOUBRAVSKÝ, K. DOSKOČIL, R. DOHNAL, M.

Originální název

A Dynamic Knowledge Model of Project Time-Cost Analysis Based on Trend Modelling

Typ

článek v časopise ve Scopus, Jsc

Jazyk

angličtina

Originální abstrakt

This paper investigates the application of trend quantifiers of project time-cost analysis as a tool for decision-making support in the project management. Practical project management-related problems are solved under information shortages. It means that methods of statistical analysis cannot be easily used as they are based on the law of large numbers of observations. Numbers are information intensive quantifiers. The least information intensive quantifier is a trend; its values are increasing, constant, decreasing. If a derivative cannot be quantified by a trend, then nothing is known and therefore nothing can be analyzed/predicted. For this reason, the trend model M was created. The model M is based on a degraded set of differential equations or heuristics. A trend analysis of the model M is an evaluation of the relevant discrete set of solutions/scenarios S. A trend reconstruction is an evaluation of the model M if a (sub) set of scenarios S is given. The paper studies linear reconstruction, i.e. the model M is a set of linear differential equations. The trend reconstruction is partially reverse process to trend analysis. A case study has 7 variables (e.g. Project duration, Direct personnel costs, Indirect personal costs etc.) and the reconstructed set of linear differential equations has 7 equations. The set of 243 scenarios is obtained if this reconstructed set of trend linear equations is solved. Any future or past behavior of the model M can be described by a sequence of obtained scenarios.

Klíčová slova

project management, trend models, linear differential equations, linear reconstruction

Autoři

DOUBRAVSKÝ, K.; DOSKOČIL, R.; DOHNAL, M.

Vydáno

8. 1. 2020

Nakladatel

Faculty of Economic and Social Sciences of the Budapest University of Technology and Economics

Místo

Budapest, Hungary

ISSN

1416-3837

Periodikum

Periodica Polytechnica, Social and Management Sciences

Ročník

28

Číslo

1

Stát

Maďarsko

Strany od

18

Strany do

28

Strany počet

10

URL

https://pp.bme.hu/so/article/view/13318

BibTex

@article{BUT161140,
  author="Karel {Doubravský} and Radek {Doskočil} and Mirko {Dohnal}",
  title="A Dynamic Knowledge Model of Project Time-Cost Analysis Based on Trend Modelling",
  journal="Periodica Polytechnica, Social and Management Sciences",
  year="2020",
  volume="28",
  number="1",
  pages="18--28",
  doi="10.3311/PPso.13318",
  issn="1416-3837",
  url="https://pp.bme.hu/so/article/view/13318"
}