Develops an intelligent controller for an integrated manufacturing resource planner within a manufacturing execution system. The overall goal is to construct an integrated planner and controller which first generates a master production schedule that satisfies all material and capacity requirement constraints and then defines a closed-loop control law which will implement that schedule. In addition, numerous forms of manufacturing flexibility and uncertainty will be considered. The proposed intelligent controller will rely heavily upon an object-oriented simulation methodology to provide guidance in decomposing the overall planning problem while supporting the inclusion of system-wide controllers to implement the defined plan. Finally, the technology of online simulation analysis will be employed in order to access the future performance of the system while operating under a given plan and its associated enabling control law.
[1]
W. J. Davis,et al.
A new simulation methodology for master production scheduling
,
1997,
1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.
[2]
James S. Albus,et al.
Behavior generation in intelligent systems
,
1997
.
[3]
W. J. Davis,et al.
An object-oriented simulation language for master production scheduling in a flexible manufacturing environment
,
1995,
1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century.
[4]
S. D. Thompson,et al.
Production planning and control hierarchy using a generic controller
,
1993
.