A multi-agent framework for coordination and system integration
Sikora, Riyaz T.
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Permalink
https://hdl.handle.net/2142/23158
Description
Title
A multi-agent framework for coordination and system integration
Author(s)
Sikora, Riyaz T.
Issue Date
1994
Doctoral Committee Chair(s)
Shaw, Michael J.
Department of Study
Business Administration
Discipline
Business Administration
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Engineering, Industrial
Engineering, System Science
Language
eng
Abstract
This thesis presents a multi-agent framework for coordination and integration of information systems. By modeling typical enterprise information systems as consisting of multiple agents with different functionalities, the methodology provides the representational formalism, coordination mechanisms, and control schemes necessary for integrating heterogeneous units of an information system while meeting such performance criteria as overall effectiveness, efficiency, responsiveness, and robustness.
The multi-agent framework models each stage or process as an autonomous agent. Message passing among these distributed agents forms the control structure. Each agent has an internal behavior model, a functional component consisting of procedures, heuristics, or strategies, and a protocol for interacting with other agents. The protocols specify what action an agent will take based on its local state and the messages received from other agents. The concurrent execution of the protocols by all the agents determines the coordination mechanism used by the agents and the resulting emergence of their behavior.
The framework is applied to the development of a manufacturing information system for integrating and managing the production processes of a real world manufacturing facility for making printed circuit boards. Performance results confirm that the system integration framework is important to support complex business processes that involve multiple steps of activities processed by a group of agents across a variety of functionalities.
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