NDLI: Simulation and decision support models for rough mills: a multi-agent perspective

Content Provider	IEEE Xplore Digital Library
Author	Elghoneimy, E. Uncu, O. Gruver, W.A. Kotak, D.B.
Copyright Year	2005
Description	Author affiliation: Sch. of Eng. Sci., Simon Fraser Univ., Burnaby, BC, Canada (Elghoneimy, E.; Uncu, O.; Gruver, W.A.)
Abstract	A rough mill is a manufacturing facility where loads of lumber (jags) are processed into specific size components. In this paper, we describe a multi-agent system that simulates the operations of the ripsaw, conveyor and chopsaw, and provides the user with recommended decisions for selecting jags and cut-lists (specific-size components for cutting). Using the graphical user interface, the user can run several scenarios, and test the recommended decisions through simulation. The operator can then make an informed decision on the rough mill floor. A discrete event based simulation model provides functionality for the agent-based model. The Java Agent Development Framework (JADE) was used to develop the agent system. The new system was validated by comparing results obtained using a centralized simulator.
Starting Page	3723
Ending Page	3728
File Size	195725
Page Count	6
File Format	PDF
ISBN	0780392981
DOI	10.1109/ICSMC.2005.1571725
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-10-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Milling machines Multiagent systems Strips Discrete event simulation Production facilities Virtual manufacturing Costs Manufacturing automation Fuel cells Technological innovation distributed systems Decision support systems agent-based systems simulation manufacturing rough mills
Content Type	Text
Resource Type	Article

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