Title :
Intelligent dynamic resource assignment for energy-efficiency in industrial stamping machines
Author :
Le, Cao Vinh ; Pang, Chee Khiang ; Lewis, Frank L. ; Gan, Oon Peen ; Chan, Hian Leng
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore
Abstract :
In this paper, we propose a novel control framework for online dynamic resource assignment using a conjunctive and disjunctive rule-based Discrete Event Controller (DEC). The framework includes an energy optimization model which is formulated by linear programming approach, and is solved online using commercial solvers. Dispatching rules are then fired based on the most energy-efficient workflow. Using an industrial case study, a simulation of the proposed energy-driven control framework is presented in the existence of resource degradation or failure. Simulation results show the effectiveness of online dynamic resource assignment in energy optimization with a reduction of 0.162 kWh per work-piece as compared to static resource assignment in existing control methods.
Keywords :
dies (machine tools); discrete event systems; intelligent control; linear programming; machine control; metal stamping; power control; conjunctive rule based discrete event controller; disjunctive rule based discrete event controller; dispatching rules; energy driven control framework; energy efficiency; energy optimization model; failure; industrial stamping machines; intelligent dynamic resource assignment; linear programming; resource degradation; Artificial intelligence; Cognition; Dynamic scheduling; Mathematical model; Optimization; Power demand; Vectors; Discrete event control; dynamic resource assignment; flexible manufacturing system; workflow systems;
Conference_Titel :
IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-61284-969-0
DOI :
10.1109/IECON.2011.6120011
