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

Author

Pathak, Surya Dev ; Dilts, David M. ; Biswas, Gautam

Author_Institution

Manage. of Technol. Program (EECS), Vanderbilt Univ., Nashville, TN, USA

Volume

1

fYear

2003

fDate

7-10 Dec. 2003

Firstpage

808

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.

Keywords

computer aided manufacturing; discrete event simulation; manufacturing data processing; software agents; supply chain management; complex adaptive supply chain network simulation; discrete event formalism; discrete time formalism; dynamic system simulator; multiparadigm simulator; multiparadigm tool; network of firms; software agent technology; supply chain structure diversity; Adaptive systems; Computer industry; Discrete event simulation; Manufacturing industries; Procurement; Software agents; Supply chain management; Supply chains; Technology management; Vehicle dynamics;

fLanguage

English

Publisher

ieee

Conference_Titel

Simulation Conference, 2003. Proceedings of the 2003 Winter

Print_ISBN

0-7803-8131-9

Type

conf

DOI

10.1109/WSC.2003.1261499

Filename

1261499