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Predictive Planning for Supply Chain Management.
David Pardoe and
Peter Stone.
In Proceedings of the International Conference on Automated
Planning and Scheduling, June 2006.
ICAPS 2006
[PDF]366.2kB [postscript]950.9kB
Supply chains are ubiquitous in the manufacturing of many complex products. Traditionally, supply chains have been created through the intricate interactions of human representatives of the various companies involved. However recent advances in planning, scheduling, and autonomous agent technologies have sparked an interest, both in academia and in industry, in automating the process. The Trading Agent Competition Supply Chain Management (TAC SCM) scenario provides a unique testbed for studying and prototyping supply chain management agents by providing a competitive environment in which independently created agents can be tested against each other over the course of many simulations. This paper presents the features of TAC SCM from a planning and scheduling perspective and introduces TacTex-2005, the champion agent from the 2005 competition. TacTex-2005 takes a predictive approach to its many planning and scheduling decisions by estimating future resource availability and constraints. This paper focuses on these aspects of the agent and isolates their impact with controlled empirical tests.
@InProceedings(ICAPS06,
author="David Pardoe and Peter Stone",
title="Predictive Planning for Supply Chain Management",
booktitle="Proceedings of the International Conference on Automated Planning and Scheduling",
month="June",year="2006",
abstract={
Supply chains are ubiquitous in the manufacturing of
many complex products. Traditionally, supply chains
have been created through the intricate interactions
of human representatives of the various companies
involved. However recent advances in planning,
scheduling, and autonomous agent technologies have
sparked an interest, both in academia and in
industry, in automating the process. The Trading
Agent Competition Supply Chain Management (TAC SCM)
scenario provides a unique testbed for studying and
prototyping supply chain management agents by
providing a competitive environment in which
independently created agents can be tested against
each other over the course of many simulations.
This paper presents the features of TAC SCM from a
planning and scheduling perspective and introduces
TacTex-2005, the champion agent from the 2005
competition. TacTex-2005 takes a predictive approach
to its many planning and scheduling decisions by
estimating future resource availability and
constraints. This paper focuses on these aspects of
the agent and isolates their impact with controlled
empirical tests.
},
wwwnote={<a href="http://www.plg.inf.uc3m.es/icaps06/">ICAPS 2006</a>},
)
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