Development Of Decision Support Model For Selecting An Equipment Maintenance Plan Using A Fuzzy MCDM Approach | Atılım Üniversitesi Açık Erişim Sistemi
Bu kaydın yasal hükümlere uygun olmadığını düşünüyorsanız lütfen sayfa sonundaki Hata Bildir bağlantısını takip ederek bildirimde bulununuz. Kayıtlar ilgili üniversite yöneticileri tarafından eklenmektedir. Nadiren de olsa kayıtlarla ilgili hatalar oluşabilmektedir. MİTOS internet üzerindeki herhangi bir ödev sitesi değildir!
Development Of Decision Support Model For Selecting An Equipment Maintenance Plan Using A Fuzzy MCDM Approach
Diğer Başlık: Bulanık ÇKKV Yaklaşımı Kullanarak Bir Bakım Planının Seçilmesi İçin Karar Destek Modelinin Geliştirilmesi
Oluşturulma Tarihi: 06-10-2020
Niteleme Bilgileri
Tür: Tez
Alt Tür: Doktora
Yayınlanma Durumu: Yayınlanmamış
Dosya Biçimi: PDF
Dil: İngilizce
Konu(lar): TEKNOLOJİ, Mühendislik (Genel). İnşaat mühendisliği (General),
Yazar(lar): Abdulgader, Fathia Sghayer (Yazar),
Emeği Geçen(ler): Erdebilli, Babek (Tez Danışmanı),
URL: http://acikarsiv.atilim.edu.tr/browse/2533/
Diğer Niteleme Bilgileri: http://acikarsiv.atilim.edu.tr/browse/2533/10300701.pdf
MCDM, Fuzzy sets, AHP, DEMATEL, TOPSIS, Maintenance
In complex decision making, using multi-criteria decision making (MCDM) methodologies is the most scientific way to ensure an informed and justified decision between several alternatives. MCDM’s have been used in different ways and with several applications that proved their efficiency in achieving this goal. In this research, the advantages and disadvantages of the different MCDM methodologies are studied, along with the different techniques implemented to increase their accuracy and precision. The main aim of the study is to develop a hybrid MCDM process that combines the strengths of several MCDM methods and apply it to choose the best fit maintenance policy/ strategy for industrial application. Moreover, fuzzy linguistic terms are utilized in all of the used MCDM techniques in order to eliminate the uncertainty and ambiguity of the results. Through an extensive literature review performed on studies that have used MCDM methods in a hybrid context and using fuzzy linguistic terms, a model is developed to use fuzzy DEMATEL-AHP-TOPSIS hybrid technique. The model with its application is the first of its kind, which combines the strengths of fuzzy DEMATEL in establishing interrelationships between the several criteria, as well as performing a pairwise comparison between the criteria for prioritization using the fuzzy AHP method. Thereafter, the alternatives are compared using fuzzy TOPSIS method by establishing negative and positive solutions and calculating the relative closeness for each of the alternatives. Furthermore, six main criteria, twenty-four sub- criteria, and five alternatives are selected from the literature for the model application. The findings of the research show that predictive maintenance is the best choice as a maintenance plan, followed closely by preventive maintenance. The results of the research confirmed the success of the developed model to select maintenance plans based on experts’ inputs and using the developed fuzzy MCDM approach.
Kaynakça
Atıf Yapanlar
0
802
82
0