@inbook{060720f9a6bb46128c6d8b38b02addf3,
title = "Fuzzy statistical process control techniques in production systems",
abstract = "Crisp Shewhart control charts monitor and evaluate a process as {"}in control{"} or {"}out of control{"} whereas the fuzzy control charts do it by using suitable linguistic or fuzzy numbers by offering flexibility for control limits. In this chapter, fuzzy attribute control charts and fuzzy variable control charts are developed and some numeric examples are given.",
author = "Cengiz Kahraman and Murat G{\"u}lbay and Nihal Erginel and Sevil {\c S}ent{\"u}rk",
year = "2010",
doi = "10.1007/978-3-642-12052-7\_18",
language = "English",
isbn = "9783642120510",
series = "Studies in Fuzziness and Soft Computing",
pages = "431--456",
editor = "Cengiz Kahraman and Mesut Yavuz",
booktitle = "Production Engineering and Management under Fuzziness",
}