KÜRESEL BULANIK KÜMELER İLE GÜVENİLİRLİK ANALİZİ

Year 2021, , 230 - 239, 30.03.2021

Esra Çakır , Ziya Ulukan

https://doi.org/10.21923/jesd.764492

Cited By: 1

Abstract

Geri dönüşüm süreci, sürdürülebilir bir çevre için atık yönetiminde önemli bir adımdır. Ancak, geri dönüşüm sürecindeki bazı adımlar insan sağlığı için risk oluşturabilir. Depolamada yetersizlik nedeniyle açık alanda uzun süre kalan oksitler çevreyi tehdit edebilir. Makinelerde oluşan insan veya yazılım kaynaklı hatalar nedeniyle zehirli atıklar çevreye yayılabilir. Bu nedenle, geri dönüşüm tesislerinde oluşabilecek birçok problemi öngörebilmek ve doğru çalışma sürecini tasarlayabilmek için sistem güvenilirliği şarttır. Bu çalışmada, geri dönüşüm tesislerinin sistem güvenilirliği için bir yöntem önerilmiştir. Güvenilirliği ölçmek için alanında uzman kişilerce ölçütler ve sistemin bu ölçütlere uygunluğu belirlenir. Bu bilgilere bağlı olarak güvenilirlik göstergesi hesaplanır. Performans önem göstergesi hesaplanarak kritik durumda olan ve güvenilirliği etkileyen en riskli gruplar tespit edilir. Önerilen yöntemde ölçüt değerlendirmelerinde küresel bulanık sayılardan yararlanılmaktadır. Bulanık ifadelerle oluşturulan performans ve güvenilirlik göstergeleri kullanılarak sistemin güvenilirlik seviyesi belirlenmiştir. Böylece, sistem güvenilirliğini etkileyen öncelikli sorunlar tespit edilmiştir. Uygulama için literatürde var olan bir çalışmadan yararlanılmış, analizin geçerliliğini göstermek için elde edilen sonuçlar karşılaştırılmıştır.

Keywords

Küresel Bulanık Sayılar, Geri Dönüşüm Tesisi Güvenilirlik Değerlendirmesi, Sürdürülebilir Çevre, Bulanık Mantık Güvenilirlik Analizi

RELIABILITY ANALYSIS WITH SPHERICAL FUZZY SETS

Abstract

The recycling process is an important step in waste management for a sustainable environment. However, some steps in the recycling process can pose a risk to human health. Oxides that remain in the open area for a long time due to insufficient storage may threaten the environment. Toxic wastes can spread to the environment due to human or software errors that occurs in the machines. Therefore, system reliability is essential to predict many problems that may arise and to design the correct working process in recycling facilities. In this study, an alternative method is proposed for the system reliability of recycling facilities. In order to measure reliability, the criteria and compliance of the system with these criteria are determined by the experts. Depending on their information, the reliability index is calculated. By calculating the performance importance index, the most risky groups that are in critical condition and affect reliability are identified. Spherical fuzzy numbers are used in the proposed method to evaluate criteria. The reliability level of the system is determined by using performance and reliability indices created with fuzzy expressions. Thus, main problems affecting system reliability are identified. In application, a study in the literature is used and the results are compared to show the validity of the analysis.

Keywords

Spherical Fuzzy Set, Fuzzy Logic Reliability Analysis, Recycling Facility Reliability Evaluation, Sustainable Environment

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