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.
%0 Conference Paper
%1 Pathak:2003:wsc
%A Pathak, Surya Dev
%A Dilts, David M.
%A Biswas, Gautam
%B WSC'03: Proc. 36th Winter Simulation Conf.
%C New Orleans, LA
%D 2003
%E Chick, S.
%E Sánchez, P. J.
%E Ferrin, D.
%E Morrice, D. J.
%I IEEE Press
%K imported thesis
%P 808--816
%R Date of Current Version :
%T A multi-paradigm simulator for simulating complex adaptive supply
chain networks
%X 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.
%@ 0-7803-8132-7
@inproceedings{Pathak:2003:wsc,
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.},
added-at = {2017-03-16T11:50:55.000+0100},
address = {New Orleans, LA},
author = {Pathak, Surya Dev and Dilts, David M. and Biswas, Gautam},
biburl = {https://www.bibsonomy.org/bibtex/23d7614282ed7c399e5722acfa47553d3/krevelen},
booktitle = {WSC'03: Proc. 36th Winter Simulation Conf.},
crossref = {wsc:2003},
doi = {Date of Current Version :},
editor = {Chick, S. and S\'anchez, P. J. and Ferrin, D. and Morrice, D. J.},
interhash = {f206efede3d9ec5196c863e23bf53ca3},
intrahash = {3d7614282ed7c399e5722acfa47553d3},
isbn = {0-7803-8132-7},
keywords = {imported thesis},
owner = {Rick},
pages = {808--816},
publisher = {IEEE Press},
publisher_address = {Piscataway, NJ, USA},
timestamp = {2017-03-16T11:54:14.000+0100},
title = {A multi-paradigm simulator for simulating complex adaptive supply
chain networks},
year = 2003
}