| dc.contributor.author | Kahraman, Cengiz | |
| dc.contributor.author | Gülbay, Murat | |
| dc.contributor.author | Erginel, Nihal | |
| dc.contributor.author | Şentürk, Sevil | |
| dc.contributor.editor | Kahraman, C | |
| dc.contributor.editor | Yavuz, M | |
| dc.date.accessioned | 2019-10-21T20:41:33Z | |
| dc.date.available | 2019-10-21T20:41:33Z | |
| dc.date.issued | 2010 | |
| dc.identifier.isbn | 978-3-642-12051-0 | |
| dc.identifier.issn | 1434-9922 | |
| dc.identifier.uri | https://hdl.handle.net/11421/20821 | |
| dc.description | WOS: 000278489300018 | en_US |
| dc.description.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. | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Springer-Verlag Berlin | en_US |
| dc.relation.ispartofseries | Studies in Fuzziness and Soft Computing | |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.title | Fuzzy Statistical Process Control Techniques in Production Systems | en_US |
| dc.type | bookPart | en_US |
| dc.relation.journal | Production Engineering and Management Under Fuzziness | en_US |
| dc.contributor.department | Anadolu Üniversitesi, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümü | en_US |
| dc.identifier.volume | 252 | en_US |
| dc.identifier.startpage | 431 | en_US |
| dc.identifier.endpage | 456 | en_US |
| dc.relation.publicationcategory | Kitap Bölümü - Uluslararası | en_US] |
| dc.contributor.institutionauthor | Erginel, Nihal | |
