Peter Stone's Selected Publications

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Predictive Planning for Supply Chain Management

David Pardoe and Peter Stone. Predictive Planning for Supply Chain Management. In Proceedings of the International Conference on Automated Planning and Scheduling, June 2006.
ICAPS 2006

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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.

BibTeX Entry

@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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