@inbook{c557e260876b4f67882891710af5648a,
title = "Fuzzy technology in advanced manufacturing systems: A fuzzy-neural approach to job remaining cycle time estimation",
abstract = "A self-organization map (SOM)-fuzzy back propagation network (FBPN) approach is proposed in this study for estimating the remaining cycle time of each job in a semiconductor manufacturing factory, which was seldom investigated in the past studies but is a critical task to the semiconductor manufacturing factory. The proposed methodology applies the SOM-FBPN approach to estimate both the cycle time and the step cycle time of a job, and then derives the remaining cycle time with the proportional adjustment approach. For evaluating the effectiveness of the proposed methodology, production simulation is also applied in this study to generate some test data.",
author = "Tin-Chih Chen",
year = "2010",
doi = "10.1007/978-3-642-12052-7_7",
language = "English",
isbn = "9783642120510",
series = "Studies in Fuzziness and Soft Computing",
pages = "125--142",
editor = "Cengiz Kahraman and Mesut Yavuz",
booktitle = "Production Engineering and Management under Fuzziness",
}