Failure mode and effect analysis using interval valued neutrosophic sets

Elif Haktanır; Cengiz Kahraman

doi:10.1007/978-3-030-23756-1_128

Failure mode and effect analysis using interval valued neutrosophic sets

Elif Haktanır^*, Cengiz Kahraman

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

8 Atıf (Scopus)

Özet

Failure mode and effects analysis (FMEA) is an effective analysis method to identify and rank the potential failure modes. Since traditional FMEA is inadequate to represent the vagueness in human decisions and evaluations, a new interval valued neutrosophic sets based FMEA method is proposed in this paper. Each parameter is represented by both potential causes of failure score and a corresponding IVN number. The proposed method is presented in 4 steps with its application on an automotive company who wants to prioritize the potential causes of failures in the design process depending on 3 decision maker’s evaluations.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference
Editörler	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A.Cagri Tolga
Yayınlayan	Springer Verlag
Sayfalar	1085-1093
Sayfa sayısı	9
ISBN (Basılı)	9783030237554
DOI'lar	https://doi.org/10.1007/978-3-030-23756-1_128
Yayın durumu	Yayınlandı - 2020
Etkinlik	International Conference on Intelligent and Fuzzy Systems, INFUS 2019 - Istanbul, Turkey Süre: 23 Tem 2019 → 25 Tem 2019

Yayın serisi

Adı	Advances in Intelligent Systems and Computing
Hacim	1029
ISSN (Basılı)	2194-5357
ISSN (Elektronik)	2194-5365

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	International Conference on Intelligent and Fuzzy Systems, INFUS 2019
Ülke/Bölge	Turkey
Şehir	Istanbul
Periyot	23/07/19 → 25/07/19

Bibliyografik not

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Belgeye Erişim

10.1007/978-3-030-23756-1_128

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Haktanır, E., & Kahraman, C. (2020). Failure mode and effect analysis using interval valued neutrosophic sets. In C. Kahraman, S. Cevik Onar, B. Oztaysi, I. U. Sari, S. Cebi, & A. C. Tolga (Eds.), Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference (pp. 1085-1093). (Advances in Intelligent Systems and Computing; Hac. 1029). Springer Verlag. https://doi.org/10.1007/978-3-030-23756-1_128

Haktanır, Elif ; Kahraman, Cengiz. / Failure mode and effect analysis using interval valued neutrosophic sets. Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. editör / Cengiz Kahraman ; Sezi Cevik Onar ; Basar Oztaysi ; Irem Ucal Sari ; Selcuk Cebi ; A.Cagri Tolga. Springer Verlag, 2020. pp. 1085-1093 (Advances in Intelligent Systems and Computing).

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title = "Failure mode and effect analysis using interval valued neutrosophic sets",

abstract = "Failure mode and effects analysis (FMEA) is an effective analysis method to identify and rank the potential failure modes. Since traditional FMEA is inadequate to represent the vagueness in human decisions and evaluations, a new interval valued neutrosophic sets based FMEA method is proposed in this paper. Each parameter is represented by both potential causes of failure score and a corresponding IVN number. The proposed method is presented in 4 steps with its application on an automotive company who wants to prioritize the potential causes of failures in the design process depending on 3 decision maker{\textquoteright}s evaluations.",

keywords = "Failure mode and effect analysis, Interval valued neutrosophic sets, Risk priority number",

author = "Elif Haktanır and Cengiz Kahraman",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; International Conference on Intelligent and Fuzzy Systems, INFUS 2019 ; Conference date: 23-07-2019 Through 25-07-2019",

year = "2020",

doi = "10.1007/978-3-030-23756-1_128",

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isbn = "9783030237554",

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editor = "Cengiz Kahraman and {Cevik Onar}, Sezi and Basar Oztaysi and Sari, {Irem Ucal} and Selcuk Cebi and A.Cagri Tolga",

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Haktanır, E & Kahraman, C 2020, Failure mode and effect analysis using interval valued neutrosophic sets. in C Kahraman, S Cevik Onar, B Oztaysi, IU Sari, S Cebi & AC Tolga (eds), Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. Advances in Intelligent Systems and Computing, hac. 1029, Springer Verlag, pp. 1085-1093, International Conference on Intelligent and Fuzzy Systems, INFUS 2019, Istanbul, Turkey, 23/07/19. https://doi.org/10.1007/978-3-030-23756-1_128

Failure mode and effect analysis using interval valued neutrosophic sets. / Haktanır, Elif; Kahraman, Cengiz.
Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. ed. / Cengiz Kahraman; Sezi Cevik Onar; Basar Oztaysi; Irem Ucal Sari; Selcuk Cebi; A.Cagri Tolga. Springer Verlag, 2020. p. 1085-1093 (Advances in Intelligent Systems and Computing; Hac. 1029).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

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AU - Kahraman, Cengiz

PY - 2020

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AB - Failure mode and effects analysis (FMEA) is an effective analysis method to identify and rank the potential failure modes. Since traditional FMEA is inadequate to represent the vagueness in human decisions and evaluations, a new interval valued neutrosophic sets based FMEA method is proposed in this paper. Each parameter is represented by both potential causes of failure score and a corresponding IVN number. The proposed method is presented in 4 steps with its application on an automotive company who wants to prioritize the potential causes of failures in the design process depending on 3 decision maker’s evaluations.

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Haktanır E, Kahraman C. Failure mode and effect analysis using interval valued neutrosophic sets. In Kahraman C, Cevik Onar S, Oztaysi B, Sari IU, Cebi S, Tolga AC, editörler, Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. Springer Verlag. 2020. p. 1085-1093. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-23756-1_128

Failure mode and effect analysis using interval valued neutrosophic sets

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