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Comparison of rule-based and optimization-based control of resource allocation on a production line
By: Lynggaard, H.J.; Holm, H.; Larsen, M.B.;
2002 / IEEE / 0-7803-7298-0
This item was taken from the IEEE Conference ' Comparison of rule-based and optimization-based control of resource allocation on a production line ' The effect of disturbances to task execution in manufacturing cells can be minimized by control. A rule-based and an optimization-based controller is developed for a production-line at Odense Steel Shipyard and implemented in a computer-based simulation model. The differences in performance between the two controllers is found in a two-level five factor factorial experiment. The simulations show that on average the optimization-based controller is 2-5% better than the rule-based controller. It is also shown that the rule-based controller is generally more sensitive to changes in parameters on the production-line.
Control System Synthesis
Control System Analysis Computing
Design Of Experiments
Odense Steel Shipyard
Computer-based Simulation Model
Two-level Five Factor Factorial Experiment
Parameter Change Sensitivity
Integer Linear Programming