• English
    • Türkçe
  • Türkçe 
    • English
    • Türkçe
  • Giriş
Öğe Göster 
  •   E-arşiv Ana Sayfası
  • Akademik Arşiv / Institutional Repository
  • Mühendislik Fakültesi / Faculty of Engineering
  • Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
  • Öğe Göster
  •   E-arşiv Ana Sayfası
  • Akademik Arşiv / Institutional Repository
  • Mühendislik Fakültesi / Faculty of Engineering
  • Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
  • Öğe Göster
JavaScript is disabled for your browser. Some features of this site may not work without it.

Selection industry 4.0 maturity model using fuzzy and intuitionistic fuzzy topsis methods for a solar cell manufacturing company

Thumbnail
Tarih
2021
Yazar
Altan Koyuncu, Cansu
Aydemir, Erdal
Başarır, Ali Cem
Üst veri
Tüm öğe kaydını göster
Özet
Maturity models help organizations identify the processes of transformation and needs by analyzing the current situation of production systems. Within the scope of Industry 4.0, in this study, several maturity models are used. Five maturity models that are mostly applied are reviewed to determine the maturity model that a manufacturing company would assess by considering Industry 4.0. Seven properties of the models are compared and analyzed with the fuzzy TOPSIS (FTOPSIS) and intuitionistic fuzzy TOPSIS (IFTOPSIS) methods. Industry 4.0 maturity models, the number of dimensions, the number of maturity level, release date, content, the definition of measurement properties, assessment expenditures, and the assessment method are determined by the three decision makers according to the evaluation. As a result, the Impuls readiness maturity model is found to be the most suitable model in FTOPSIS and IFTOPSIS methods for a solar cell manufacturing company.
Bağlantı
http://hdl.handle.net/20.500.12566/833
Koleksiyonlar
  • Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
  • Scopus İndeksli Yayınlar Koleksiyonu
  • WOS İndeksli Yayınlar Koleksiyonu

İlgili Öğeler

Başlık, yazar, küratör ve konuya göre gösterilen ilgili öğeler.

  • A multi criteria decision making methodology based novel model for supplier selection 

    Ak, Muhammet Fatih (El-Cezerî Fen ve Mühendislik Dergisi, 2020)
    Supplier selection and measurement of supplier performance are multi-criteria decision making (MCDM) problems and have strategic importance for all industries. The study contains analyzed factors that are affecting the ...
  • AHP-TOPSIS integration extended with Pythagorean fuzzy sets for information security risk analysis 

    Ak, Muhammet Fatih; Gül, Muhammet (Complex & Intelligent Systems, 2019)
    Risk analysis (RA) contains several methodologies that object to ensure the protection and safety of occupational stakeholders. Multi attribute decision-making (MADM) is one of the most important RA methodologies that is ...
  • A modified failure modes and effects analysis using interval-valued spherical fuzzy extension of TOPSIS method: case study in a marble manufacturing facility 

    Gul, Muhammet; Ak, Muhammet Fatih (Soft Computing, 2021)
    Failure modes and effects analysis (FMEA) is a commonly used step-by-step approach to assess potential failures existing in a product or process design. In this paper, a modified FMEA model based on an interval-valued ...

DSpace software copyright © 2002-2016  DuraSpace
İletişim | Geri Bildirim
Theme by 
Atmire NV
 

 




sherpa/romeo


Göz at

Tüm E-arşivBölümler & KoleksiyonlarTarihe GöreYazara GöreBaşlığa GöreKonuya GöreTüre GöreABU Yazarına GöreWOSScopusPubMedTRDizinErişimBu KoleksiyonTarihe GöreYazara GöreBaşlığa GöreKonuya GöreTüre GöreABU Yazarına GöreWOSScopusPubMedTRDizinErişim

Hesabım

GirişKayıt

DSpace software copyright © 2002-2016  DuraSpace
İletişim | Geri Bildirim
Theme by 
Atmire NV
 

 


|| Kütüphane || Antalya Bilim Üniversitesi || OAI-PMH ||

Antalya Bilim Üniversitesi Kütüphane ve Dokümantasyon Müdürlüğü, Antalya, Turkey
İçerikte herhangi bir hata görürseniz, lütfen bildiriniz: acikerisim@antalya.edu.tr

E-arşiv@AntalyaBilim:


DSpace 6.4-SNAPSHOT

Gemini Bilgi Teknolojileri A.Ş tarafından destek verilmektedir.