DocumentCode :
54670
Title :
Opportunity Estimation for Real-Time Energy Control of Sustainable Manufacturing Systems
Author :
Sun, Zeyi ; Li, Lin
Author_Institution :
Dept. of Mech. & Ind. Eng., Univ. of Illinois at Chicago, Chicago, IL, USA
Volume :
10
Issue :
1
fYear :
2013
fDate :
Jan. 2013
Firstpage :
38
Lastpage :
44
Abstract :
Due to the complexity of modern manufacturing systems and the lack of optimal management of energy consumption, the energy efficiency of manufacturing systems in real industrial environment is much lower than designed level, which significantly increases operation cost, impedes company competitiveness in the global market, leads to high carbon dioxide emission, and results in destroyed environment and ecology. Compared with existing research efforts on energy management of single machine system in the literature, few works have been performed to study the opportunity for energy management of typical manufacturing systems with multiple machines and buffers. From the point-of-view of sustainability, considering stochastic factor and buffer utilization, this paper investigates the opportunity estimation for real-time energy control of typical multi-machine manufacturing systems without sacrificing system throughput. A numerical case study based on an automotive assembly line is used to illustrate the effectiveness and efficiency of the proposed method.
Keywords :
air pollution; energy conservation; manufacturing systems; sustainable development; automotive assembly line; buffer utilization; carbon dioxide emission; company competitiveness; ecology; energy consumption; energy efficiency; energy management; industrial environment; multimachine manufacturing system; operation cost; opportunity estimation; realtime energy control; single machine system; stochastic factor; sustainability point-of-view; sustainable manufacturing system; system throughput; Carbon dioxide; Estimation; Maintenance engineering; Manufacturing systems; Real-time systems; Throughput; Energy control; opportunity estimation; sustainable manufacturing systems; throughput constraint;
fLanguage :
English
Journal_Title :
Automation Science and Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1545-5955
Type :
jour
DOI :
10.1109/TASE.2012.2216876
Filename :
6329376
Link To Document :
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