A multi-formalism architecture for agent-based, order-centric supply chain simulation

Dean C. Chatfield; Jack C. Hayya; Terry P. Harrison

doi:10.1016/j.simpat.2006.09.018

A multi-formalism architecture for agent-based, order-centric supply chain simulation

Dean C. Chatfield, Jack C. Hayya, Terry P. Harrison

Supply Chain and Information Systems

Research output: Contribution to journal › Article › peer-review

56 Scopus citations

Abstract

Agent-based simulation models can effectively represent decentralized systems. However, many supply-chains are order-driven, and agent modeling cannot effectively represent the order life-cycle. We present a conceptual architecture that combines simulation formalisms, allowing an agent representation of the supply-chain infrastructure while enabling a process-oriented approach to representing orders. This architecture allows for a natural, realistic representation of different supply-chain constructs and subsystems while following a consistent overall viewpoint. Our approach provides for excellent representation of supply-chain operations, allows for very detailed operational data to be gathered, and provides efficient representation of concurrent supply-chain activities in a manner that avoids preemption.

Original language	English (US)
Pages (from-to)	153-174
Number of pages	22
Journal	Simulation Modelling Practice and Theory
Volume	15
Issue number	2
DOIs	https://doi.org/10.1016/j.simpat.2006.09.018
State	Published - Feb 2007

All Science Journal Classification (ASJC) codes

Software
Modeling and Simulation
Hardware and Architecture

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10.1016/j.simpat.2006.09.018

Cite this

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title = "A multi-formalism architecture for agent-based, order-centric supply chain simulation",

abstract = "Agent-based simulation models can effectively represent decentralized systems. However, many supply-chains are order-driven, and agent modeling cannot effectively represent the order life-cycle. We present a conceptual architecture that combines simulation formalisms, allowing an agent representation of the supply-chain infrastructure while enabling a process-oriented approach to representing orders. This architecture allows for a natural, realistic representation of different supply-chain constructs and subsystems while following a consistent overall viewpoint. Our approach provides for excellent representation of supply-chain operations, allows for very detailed operational data to be gathered, and provides efficient representation of concurrent supply-chain activities in a manner that avoids preemption.",

author = "Chatfield, \{Dean C.\} and Hayya, \{Jack C.\} and Harrison, \{Terry P.\}",

note = "Funding Information: We wish to thank the Center for Supply Chain Research at Penn State University for its support of this work. ",

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AU - Hayya, Jack C.

AU - Harrison, Terry P.

N1 - Funding Information: We wish to thank the Center for Supply Chain Research at Penn State University for its support of this work.

PY - 2007/2

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N2 - Agent-based simulation models can effectively represent decentralized systems. However, many supply-chains are order-driven, and agent modeling cannot effectively represent the order life-cycle. We present a conceptual architecture that combines simulation formalisms, allowing an agent representation of the supply-chain infrastructure while enabling a process-oriented approach to representing orders. This architecture allows for a natural, realistic representation of different supply-chain constructs and subsystems while following a consistent overall viewpoint. Our approach provides for excellent representation of supply-chain operations, allows for very detailed operational data to be gathered, and provides efficient representation of concurrent supply-chain activities in a manner that avoids preemption.

AB - Agent-based simulation models can effectively represent decentralized systems. However, many supply-chains are order-driven, and agent modeling cannot effectively represent the order life-cycle. We present a conceptual architecture that combines simulation formalisms, allowing an agent representation of the supply-chain infrastructure while enabling a process-oriented approach to representing orders. This architecture allows for a natural, realistic representation of different supply-chain constructs and subsystems while following a consistent overall viewpoint. Our approach provides for excellent representation of supply-chain operations, allows for very detailed operational data to be gathered, and provides efficient representation of concurrent supply-chain activities in a manner that avoids preemption.

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A multi-formalism architecture for agent-based, order-centric supply chain simulation

Abstract

All Science Journal Classification (ASJC) codes

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