A multi-paradigm simulator for simulating complex adaptive supply chain networks

Surya Dev Pathak, David M. Dilts, Gautam Biswas

Research output: Contribution to journalConference article

22 Scopus citations

Abstract

This paper introduces a multi-paradigm dynamic system simulator based on discrete time and discrete event formalism for simulating a supply chain as a complex adaptive system. Little is known about why such a diversity of supply chain structures exist. Simulating dynamic supply chain networks over extended periods using the multi-paradigm dynamic system simulator allows us to observe the emergence of different structures. The simulator is implemented using a software agent technology, where individual agents represent firms in a supply chain network. In this paper, we present an example scenario run on the simulator and the preliminary results that have been observed. This multi-paradigm tool provides a valuable investigation instrument for real life supply chain problems.

Original languageEnglish (US)
Pages (from-to)808-816
Number of pages9
JournalWinter Simulation Conference Proceedings
Volume1
StatePublished - Dec 1 2003
EventProceedings of the 2003 Winter Simulation Conference: Driving Innovation - New Orleans, LA, United States
Duration: Dec 7 2003Dec 10 2003

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Safety, Risk, Reliability and Quality
  • Chemical Health and Safety
  • Applied Mathematics

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