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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
Description
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.
Related Topics
Manufacturing Industries
Control System Synthesis
Control System Analysis Computing
Design Of Experiments
Resource Allocation
Simulated Annealing
Production Line
Resource Allocation
Rule-based Control
Optimization-based Control
Task Execution
Manufacturing Cells
Odense Steel Shipyard
Computer-based Simulation Model
Two-level Five Factor Factorial Experiment
Parameter Change Sensitivity
Shipbuilding Industry
Resource Management
Production
Optimization Methods
Welding
Steel
Manufacturing
Computational Modeling
Integer Linear Programming
Computer Simulation
Shipbuilding Industry
Optimal Control
Production Control
Simulated Annealing
Engineering
Disturbance Effect