@inproceedings{2a821500c8b144c3932f65d294400a35,
title = "Case Based Polishing Process Planning with Fuzzy Set Theory",
abstract = "It is difficult to make optimal process planning for polishing product because of the complex processes and the multi-criteria, attributes and vagueness of process parameters. To solve this problem, this paper combines the methodologies of Case Based Reasoning (CBR) and fuzzy Set Theory (FST) to support process planners in planning processes and making decisions effectively for polishing product. Moreover, various mathematical models are designed and integrated to the Web Based Portal System (WBPS) which supports the optimization computation of process parameter settings and case reasoning for polishing product. Finally, some cooker samples from the collaborating company have been collected to demonstrate the effectiveness of Case Based Process Planning (CBPP) model.",
keywords = "Case Based Process Planning, Case Based Reasoning, Fuzzy set theory, Process planning",
author = "Ngai, {B. K.K.} and Huang, {George Q.} and Yingfeng Zhang and Xin Chen and Lo, {V. H.Y.}",
year = "2008",
doi = "10.1109/IEEM.2008.4737884",
language = "英语",
isbn = "9781424426300",
series = "2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008",
pages = "326--330",
booktitle = "2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008",
note = "2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008 ; Conference date: 08-12-2008 Through 11-12-2008",
}