DocumentCode :
174299
Title :
Data-mining approach to support layout configuration decision-making in Evolvable Production Systems
Author :
Neves, Pedro ; Ribeiro, Luis ; Dias-Ferreira, Joao ; Maffei, Antonio ; Onori, Mauro ; Barata, Jose
Author_Institution :
Dept. of Production Eng., KTH R. Inst. of Technol., Stockholm, Sweden
fYear :
2014
fDate :
5-8 Oct. 2014
Firstpage :
3649
Lastpage :
3656
Abstract :
Computational and communication capabilities are increasingly being used in all devices. In the production context this leads to the generation of massive amounts of data that are rarely proficuously used. More particularly the application of data-mining techniques to infer knowledge from systems´ operation to improve its design decisions remains fairly unexplored. This article presents an approach to extract system design and configuration rules from Evolvable Production Systems. Furthermore it provides the empirical results from two test-cases that support the hypothesis that a simulation-data-mining approach can help reducing the complexity of the work carried by system designers and production managers.
Keywords :
data mining; decision making; production engineering computing; data-mining approach; evolvable production system; layout configuration decision-making; Data mining; Data models; Layout; Manufacturing; Mechatronics; Production systems; Assembly Systems design; Data-Mining; Multi-agent Systems; Self-Organising Mechatronic Systems; Simulation Tools;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on
Conference_Location :
San Diego, CA
Type :
conf
DOI :
10.1109/SMC.2014.6974497
Filename :
6974497
Link To Document :
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