Title :
Simulation and decision support models for rough mills: a multi-agent perspective
Author :
Elghoneimy, Eman ; Uncu, Ozge ; Gruver, William A. ; Kotak, Dilip B.
Author_Institution :
Sch. of Eng. Sci., Simon Fraser Univ., Burnaby, BC, Canada
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.
Keywords :
Java; decision support systems; discrete event simulation; graphical user interfaces; milling; multi-agent systems; production facilities; Java agent development framework; agent-based model; agent-based systems; decision support model; decision support systems; discrete event based simulation model; distributed systems; graphical user interface; manufacturing facility; multiagent perspective; multiagent system; rough mill floor; simulation support model; Costs; Discrete event simulation; Fuel cells; Manufacturing automation; Milling machines; Multiagent systems; Production facilities; Strips; Technological innovation; Virtual manufacturing; Decision support systems; agent-based systems; distributed systems; manufacturing; rough mills; simulation;
Conference_Titel :
Systems, Man and Cybernetics, 2005 IEEE International Conference on
Print_ISBN :
0-7803-9298-1
DOI :
10.1109/ICSMC.2005.1571725