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Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3 (AAMAS'04)
Botticelli: A Supply Chain Management Agent
New York City, New York, USA
July 19-July 23
ISBN: 0-7695-2092-8
ASCII Text
x 
 
M. Benisch, A. Greenwald, I. Grypari, R. Lederman, V. Naroditskiy, M. Tschantz, "Botticelli: A Supply Chain Management Agent," Autonomous Agents and Multiagent Systems, International Joint Conference on, vol. 3, pp. 1174-1181, Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3 (AAMAS'04), 2004.
 
 
BibTex
x
 
@article{ 10.1109/AAMAS.2004.10203,
author = {M. Benisch and A. Greenwald and I. Grypari and R. Lederman and V. Naroditskiy and M. Tschantz},
title = {Botticelli: A Supply Chain Management Agent},
journal ={Autonomous Agents and Multiagent Systems, International Joint Conference on},
volume = {3},
year = {2004},
isbn = {0-7695-2092-8},
pages = {1174-1181},
doi = {http://doi.ieeecomputersociety.org/10.1109/AAMAS.2004.10203},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Autonomous Agents and Multiagent Systems, International Joint Conference on
TI - Botticelli: A Supply Chain Management Agent
SN - 0-7695-2092-8
SP1174
EP1181
A1 - M. Benisch,
A1 - A. Greenwald,
A1 - I. Grypari,
A1 - R. Lederman,
A1 - V. Naroditskiy,
A1 - M. Tschantz,
PY - 2004
KW - null
VL - 3
JA - Autonomous Agents and Multiagent Systems, International Joint Conference on
ER -
 
M. Benisch, Brown University
A. Greenwald, Brown University
I. Grypari, Brown University
R. Lederman, Brown University
V. Naroditskiy, Brown University
M. Tschantz, Brown University

The paper describes the architecture of Brown University?s agent, Botticelli, a finalist in the 2003 Trading Agent Competition in Supply Chain Management (TAC SCM). In TAC SCM, a simulated computer manufacturing scenario, Botticelli competes with other agents to win customer orders and negotiates with suppliers to procure the components necessary to complete its orders.

In this paper, two subproblems that dictate Botticelli?s behavior are formalized: bidding and scheduling. Mathematical programming approaches are applied in attempt to solve these problems optimally. In addition, greedy methods that yield useful approximations are described. Test results compare the performance and computational efficiency of these alternative techniques.

Citation:
M. Benisch, A. Greenwald, I. Grypari, R. Lederman, V. Naroditskiy, M. Tschantz, "Botticelli: A Supply Chain Management Agent," aamas, vol. 3, pp.1174-1181, Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3 (AAMAS'04), 2004
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