@inproceedings{601522b987154316abfa5450d4577f4a,
title = "Data-mining approach to support layout configuration decision-making in Evolvable Production Systems",
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 = "Self-Organising Mechatronic Systems, Assembly Systems design, Simulation Tools, Multi-agent Systems, Data-Mining",
author = "Pedro Neves and Luis Ribeiro and Joao Dias-Ferreira and Antonio Maffei and Mauro Onori and Jose Barata",
year = "2014",
doi = "10.1109/SMC.2014.6974497",
language = "English",
isbn = "978-1-4799-3841-4",
series = "IEEE International Conference on Systems Man and Cybernetics Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
pages = "3649--3656",
booktitle = "2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2014)",
address = "United States",
note = "IEEE International Conference on Systems, Man, and Cybernetics (SMC) ; Conference date: 05-10-2014 Through 08-10-2014",
}