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Reseach Article

Comprehending Unpredictable/Random Behaviour by Applying Environment Performance Indicators in a Real Milieu

by Khalid A. Fakeeh
International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 11 - Number 1
Year of Publication: 2016
Authors: Khalid A. Fakeeh
10.5120/ijais2016451568

Khalid A. Fakeeh . Comprehending Unpredictable/Random Behaviour by Applying Environment Performance Indicators in a Real Milieu. International Journal of Applied Information Systems. 11, 1 ( Jun 2016), 17-21. DOI=10.5120/ijais2016451568

@article{ 10.5120/ijais2016451568,
author = { Khalid A. Fakeeh },
title = { Comprehending Unpredictable/Random Behaviour by Applying Environment Performance Indicators in a Real Milieu },
journal = { International Journal of Applied Information Systems },
issue_date = { Jun 2016 },
volume = { 11 },
number = { 1 },
month = { Jun },
year = { 2016 },
issn = { 2249-0868 },
pages = { 17-21 },
numpages = {9},
url = { https://www.ijais.org/archives/volume11/number1/902-2016451568/ },
doi = { 10.5120/ijais2016451568 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T19:03:40.038657+05:30
%A Khalid A. Fakeeh
%T Comprehending Unpredictable/Random Behaviour by Applying Environment Performance Indicators in a Real Milieu
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 11
%N 1
%P 17-21
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The purpose of this study is to propose a study into understanding unpredictable behaviour by applying environment performance indicators in a real environment. From the literature review, it is evident that a simulation model should be created that consists of environmental variables. This study is useful to managers and IT staff of a business to see how they can improve business processes.

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Index Terms

Computer Science
Information Sciences

Keywords

Business Process Modelling Environment Performance Indicators Simulation Modelling