A system dynamics approach to uncertainty in bridging technology interaction

L. Pretorius, J. H.C. Pretorius

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

This paper is an extension of previous research on the simulation of three technologies that interact in competition. Technology is considered as a result of innovation, a rate dependent process. Technology growth patterns can be traced in a number of ways. One interesting way that has been recently used very effectively is using bibliometrics as a data source for technology. In this paper the technology system is treated as a coupled system where the interacting dynamics is described by the Lotka-Volterra system of differential equations. The uncertainty in the interaction of the bridging technology with the mature defending technology and the newly introduced attacking technology is addressed in this research using a Monte Carlo multivariate simulation technique and a system dynamics approach. The research method is exploratory and case based a method that has been established as useful especially early on in research. Some exploration into cyclic behaviour of a modified version of the three technology system is also attempted.

Original languageEnglish
Title of host publication42nd International Conference on Computers and Industrial Engineering 2012, CIE 2012
PublisherComputers and Industrial Engineering
Pages987-1002
Number of pages16
ISBN (Print)9781627486842
Publication statusPublished - 2012
Event42nd International Conference on Computers and Industrial Engineering 2012, CIE 2012 - Cape Town, South Africa
Duration: 15 Jul 201218 Jul 2012

Publication series

NameProceedings of International Conference on Computers and Industrial Engineering, CIE
Volume2
ISSN (Electronic)2164-8689

Conference

Conference42nd International Conference on Computers and Industrial Engineering 2012, CIE 2012
Country/TerritorySouth Africa
CityCape Town
Period15/07/1218/07/12

ASJC Scopus subject areas

  • General Computer Science
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

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