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Title: Method for distributed agent-based non-expert simulation of manufacturing process behavior

Patent ·
OSTI ID:1175161

A method for distributed agent based non-expert simulation of manufacturing process behavior on a single-processor computer comprises the steps of: object modeling a manufacturing technique having a plurality of processes; associating a distributed agent with each the process; and, programming each the agent to respond to discrete events corresponding to the manufacturing technique, wherein each discrete event triggers a programmed response. The method can further comprise the step of transmitting the discrete events to each agent in a message loop. In addition, the programming step comprises the step of conditioning each agent to respond to a discrete event selected from the group consisting of a clock tick message, a resources received message, and a request for output production message.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE
DOE Contract Number:
AC05-96OR22464
Assignee:
UT-Battelle, LLC (Oak Ridge, TN)
Patent Number(s):
6,826,518
Application Number:
09/399,540
OSTI ID:
1175161
Country of Publication:
United States
Language:
English

References (9)

An agent-based flexible routing manufacturing control simulation system conference January 1994
Use of discrete event simulation to validate an agent based scheduling engine conference January 2000
Using simulation to schedule manufacturing resources conference January 1997
Simulation-based production control in the semiconductor industry conference January 1998
Hierarchical and heterarchical behaviour in agent-based manufacturing systems journal September 1997
Enterprise modeling and simulation platform integrating manufacturing system design and supply chain conference January 1999
Making better manufacturing decisions with AIM conference January 1997
Multi-agent simulation for balancing of assembly lines conference January 1999
Modeling supply-chain networks by a multi-agent system conference January 1998

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