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Insights into the complexity: A method to manage the complex system by controlling the couplings based on the systemic modeling

  • Beihang University
  • China Academy of Electronics and Information Technology
  • Military Representative Office of Air Force in Jingchang Area

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

Abstract

New forms of complex systems with novel working patterns are emerging in contrast to our ignorance, to some degree, of their internal functioning mechanism. Research should be conducted to make better understandings of these complexity problems. In this paper, we proposed a method to study into the system complexity and to cope with it by controlling the system interactions and couplings based on the systemic modeling. A case study was conducted in which we described the system complexity in terms of interactions and couplings using FRAM. Based on that, the analysis was conducted and the risks of system accident were identified to be the result of the collaboration of function variabilities and the tight-couplings. Measures to control the couplings were suggested accordingly. With the effects of these measures, we could reduce the level of system couplings and manage the system complexity for better controlling.

Original languageEnglish
Title of host publication2017 2nd International Conference on Reliability Systems Engineering, ICRSE 2017
EditorsDongming Fan, Jun Yang, Ziyao Wang, Tingdi Zhao
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538609187
DOIs
StatePublished - 8 Sep 2017
Event2nd International Conference on Reliability Systems Engineering, ICRSE 2017 - Huairou, Beijing, China
Duration: 10 Jul 201712 Jul 2017

Publication series

Name2017 2nd International Conference on Reliability Systems Engineering, ICRSE 2017

Conference

Conference2nd International Conference on Reliability Systems Engineering, ICRSE 2017
Country/TerritoryChina
CityHuairou, Beijing
Period10/07/1712/07/17

Keywords

  • complexity
  • coupling
  • FRAM
  • modeling
  • socio-Technical system

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