Paper Info
Title
State of the Art and Future Trends of Optimality and Adaptability Articulated Mechanisms for Manufacturing Control Systems
Abstract
Nowadays, manufacturing control systems have evolved from reactive and informative decision support system to a proactive and intelligent manufacture management mechanism. Industries require both optimal and adaptive manufacturing processes in order to respond competitively to market requirements. In response, advanced manufacturing control systems are configured as artificial intelligence distributed architectures capable to support environment disturbances. However, these techniques, specifically Multi-Agent systems and Holonic Manufacturing Systems, are weak supporting optimal performance. Conversely, Operational Research decision support systems achieve optimality under centralized architectures. Still, these are weak supporting adaptable processes under environmental disturbances. Consequently, researchers recently have focused in articulating optimality and adaptation paradigms in order to construct a robust optimal-wise and adaptable mechanism. This paper surveys the literature in manufacturing control systems that use these articulated adaptable optimal mechanism, constructs a proposed typology according structural features and discusses future possibilities for balancing optimality and adaptability characteristics.
Year
DOI
Venue
2013
10.1109/SMC.2013.219
SMC
Keywords
Field
DocType
adaptable mechanism,advanced manufacturing control system,intelligent manufacture management mechanism,articulated adaptable optimal mechanism,articulating optimality,operational research decision support,future trends,informative decision support system,control system,manufacturing control systems,adaptable process,adaptability articulated mechanisms,adaptive manufacturing process,decision support systems,distributed processing,artificial intelligence
Adaptability,Optimal mechanism,Intelligent decision support system,Computer science,Manufacturing systems,Decision support system,Multi-agent system,Risk analysis (engineering),Artificial intelligence,Control system,Advanced manufacturing,Machine learning
Conference
ISSN
Citations 
PageRank 
1062-922X
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Jose-Fernando Jimenez141.42
Abdhelghani Bekrar200.34
Damien Trentesaux337540.48
Jairo R. Montoya-Torres414819.47
Paulo Leitão59013.24
Montoya-Torres, J.R.601.35