A complexity model for networks of collaborating enterprises

Balázs Csanád Csáji, Laszlo Monostori

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Theoretical study of complex systems receives more and more attention as most sciences broaden their perspectives. The paper first briefly overviews a few important complexity approaches, then it presents a triple-level model for describing and analyzing collaborating enterprises. The environment is treated as a stochastic process, the core topology of the collaboration is represented by a graph and, finally, the dynamic behavior of collaborating enterprises is modeled as a Complex Adaptive System (CAS). Complexity measures for the different sub-models are suggested, some complexity drivers are investigated and it is argued that the resulted model can be effectively analyzed by simulation.

Original languageEnglish
Title of host publicationProceedings of the 17th World Congress, International Federation of Automatic Control, IFAC
Edition1 PART 1
DOIs
Publication statusPublished - Dec 1 2008
Event17th World Congress, International Federation of Automatic Control, IFAC - Seoul, Korea, Republic of
Duration: Jul 6 2008Jul 11 2008

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Number1 PART 1
Volume17
ISSN (Print)1474-6670

Other

Other17th World Congress, International Federation of Automatic Control, IFAC
CountryKorea, Republic of
CitySeoul
Period7/6/087/11/08

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Keywords

  • Collaborative networked organizations principles
  • Methodologies and tools for analysis of complexity
  • Multi-agent systems applied to industrial systems

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Csáji, B. C., & Monostori, L. (2008). A complexity model for networks of collaborating enterprises. In Proceedings of the 17th World Congress, International Federation of Automatic Control, IFAC (1 PART 1 ed.). (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 17, No. 1 PART 1). https://doi.org/10.3182/20080706-5-KR-1001.1871