Vidal's libraryTitle: | Modeling Supply Chain Dynamics: A Multiagent Approach |
Author: | Jayashankar M. Swaminathan, Stephen F. Smith, and Norman M. Sadeh |
Journal: | Decision Sciences |
Volume: | 29 |
Number: | 3 |
Pages: | 607--632 |
Year: | 2007 |
DOI: | 10.1111/j.1540-5915.1998.tb01356.x |
Abstract: | A global economy and increase in customer expectations in terms of cost and services have put a premium on effective supply chain reengineering. It is essential to perform risk-benefit analysis of reengineering alternatives before making a final decision. Simulation provides an effective pragmatic approach to detailed analysis and evaluation of supply chain design and management alternatives. However, the utility of this methodology is hampered by the time and effort required to develop models with sufficient fidelity to the actual supply chain of interest. In this paper, we describe a supply chain modeling framework designed to overcome this difficulty. Using our approach, supply chain models are composed from software components that represent types of supply chain agents (e.g., retailers, manufacturers, transporters), their constituent control elements (e.g., inventory policy), and their interaction protocols (e.g., message types). The underlying library of supply chain modeling components has been derived from analysis of several different supply chains. It provides a reusable base of domain-specific primitives that enables rapid development of customized decision support tools. |
@Article{swaminathan07a,
author = {Jayashankar M. Swaminathan and Stephen F. Smith and
Norman M. Sadeh},
title = {Modeling Supply Chain Dynamics: A Multiagent
Approach},
journal = {Decision Sciences},
year = 2007,
volume = 29,
number = 3,
pages = {607--632},
abstract = {A global economy and increase in customer
expectations in terms of cost and services have put
a premium on effective supply chain
reengineering. It is essential to perform
risk-benefit analysis of reengineering alternatives
before making a final decision. Simulation provides
an effective pragmatic approach to detailed analysis
and evaluation of supply chain design and management
alternatives. However, the utility of this
methodology is hampered by the time and effort
required to develop models with sufficient fidelity
to the actual supply chain of interest. In this
paper, we describe a supply chain modeling framework
designed to overcome this difficulty. Using our
approach, supply chain models are composed from
software components that represent types of supply
chain agents (e.g., retailers, manufacturers,
transporters), their constituent control elements
(e.g., inventory policy), and their interaction
protocols (e.g., message types). The underlying
library of supply chain modeling components has been
derived from analysis of several different supply
chains. It provides a reusable base of
domain-specific primitives that enables rapid
development of customized decision support tools.},
doi = {10.1111/j.1540-5915.1998.tb01356.x}
}
Last modified: Wed Mar 9 10:16:52 EST 2011