Franko, Ceki
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Franko, C.
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ceki.franko@ieu.edu.tr
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02.02. Mathematics
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Former Staff
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Documents
8
Citations
83
h-index
5

Documents
8
Citations
69

Scholarly Output
8
Articles
5
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0/0
Supervised MSc Theses
1
Supervised PhD Theses
1
WoS Citation Count
64
Scopus Citation Count
75
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4
Scopus h-index
4
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0
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0
WoS Citations per Publication
8.00
Scopus Citations per Publication
9.38
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4
Supervised Theses
2
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Master Thesis Residual Lifelengths of Censored Data(İzmir Ekonomi Üniversitesi, 2010) Franko, Ceki; Bayramoğlu, İsmihanGeriye kalan elemanların kalan yaşam uzunlukları güvenilirlik analizinde,aktüerya biliminde ve sağ kalan analizinde büyük önem teşkil etmektedir. Butezde farklı sansürleme şemaları altında geriye kalan elemanların kalan yaşamuzunlukları araştırıldı. Dağılım özellikleri, ortalama geriye kalan yaşamlar vekarakterizasyonlarla ilgili bazı ilginç sonuçlar elde edildi.Article Citation - WoS: 25Citation - Scopus: 29Signature Based Reliability Analysis of Repairable Weighted K-Out Systems(IEEE-Inst Electrical Electronics Engineers Inc, 2016) Franko, Ceki; Tütüncü, Gözde YazgıIn this paper, an exact formulation for computing reliability of weighted k-out-of-n:G systems using system signature is presented. Some component importance measures are computed. Moreover, reliability and some important reliability indices of repairable weighted k-out-of-n: G system are derived via system signature. A real life case of weighted k-out-of-n:G is analyzed using the proposed formulations to show the practicability of the given model.Article Citation - WoS: 13Citation - Scopus: 17Reliability of Weighted K-Out G Systems Consisting of Two Types of Components and a Cold Standby Component(Taylor & Francis Inc, 2017) Franko, C.; Tütüncü, Gözde Yazgı; Eryılmaz, SerkanIn this article, the influence of a cold standby component to the reliability of weighted k-out-of-n: G systems consisting of two different types of components is studied. Weighted k-out-of-n: G systems are generalization of k-out-of-n systems that has attracted substantial interest in reliability theory because of their various applications in engineering. A method based on residual lifetimes of mixed components is presented for computing reliability of weighted k-out-of-n: G systems with two types of components and a cold standby component. Reliability and mean time to failure of different structured systems have been computed. Moreover, obtained results are used for defining optimal system configurations that can minimize the overall system costs.Article Citation - WoS: 18Citation - Scopus: 20Reliability of Coherent Systems With a Single Cold Standby Component(Elsevier, 2015) Franko, Ceki; Özkut, Cemal Murat; Kan, CihangirIn this paper, the influence of a cold standby component on a coherent system is studied. A method for computing the system reliability of coherent systems with a cold standby component based on signature is presented. Numerical examples are presented. Reliability and mean time to failure of different systems are computed. (C) 2014 Elsevier B.V. All rights reserved.Doctoral Thesis Reliability of Systems With a Cold Standby Component(İzmir Ekonomi Üniversitesi, 2016) Franko, Ceki; Aşçı, Gözde Yazgı TütüncüBu tezde, soğuk yedek bileşenin, uyumlu sistemler ve iki farklı tip bileşenden oluşan ağırlıklı n'den-k'lı sistemler üzerine etkisi çalışıldı. Uyumlu sistemlerde güvenirliliğin hesaplanması için genel bir yöntem önerildi. Buna ek olarak, iki farklı tip komponentten oluşan ve bir soğuk yedek komponente sahip ağırlıklı n'den-k'lı sistemlerde güvenilirlik hesapları yapıldı. Farklı yapıya sahip sistemler için güvenilirlik ve ortalama yaşam süresi hesaplandı. Önerilen yöntemlerin gerçek hayatta uygulanabilirliğini göstermek için sayısal örnekler ve farklı optimal sistem tasarım problemleri çözüldü.Article Citation - WoS: 4Citation - Scopus: 5Reliability and Some Characteristics of Circular Consecutive-K System(Taylor & Francis Inc, 2014) Kan, Cihangir; Franko, Ceki; Ozkut, C. MuratA system can be classified with respect to the physical arrangement of its components and the functioning principle. A circular consecutive k-within-m-out-of-n:F system consists of n circularly ordered components and fails if and only if there are m consecutive components that include among them at least k failed components. A circular consecutive k-within-m-out-of-n:F system turns into circular consecutive k-out-of-n:F for m = k and k-out-of-n:F system for m = n. In this study, signature-based analysis of circular consecutive k-within-m-out-of-n:F system is performed. A new approximation to this system is provided based on maximum number of failed components and an illustrative example is given for different values of n, m, k to compare the approximate results with simulated and exact results.Article Citation - WoS: 3Citation - Scopus: 3Analyzing the Multi-State System Under a Run Shock Model(Cambrıdge Unıv Press, 2024) Özkut, Cemal Murat; Kan, Cihangir; Franko, CekiA system experiences random shocks over time, with two critical levels, d1 and d2, where $d_{1} \lt d_{2}$. k consecutive shocks with magnitudes between d1 and d2 partially damaging the system, causing it to transition to a lower, partially working state. Shocks with magnitudes above d2 have a catastrophic effect, resulting in complete failure. This theoretical framework gives rise to a multi-state system characterized by an indeterminate quantity of states. When the time between successive shocks follows a phase-type distribution, a detailed analysis of the system's dynamic reliability properties such as the lifetime of the system, the time it spends in perfect functioning, as well as the total time it spends in partially working states are discussed.Conference Object Citation - WoS: 1Citation - Scopus: 1Optimizing (r, Q) Decisions Considering Misplaced Items: Lost-Sales and Backorder Cases(IEEE Computer Society, 2019) Zhang L.L.; Tütüncü, Gözde Yazgı; Franko C.Most available (r, Q) inventory models assume that the actual inventory records are the same as these in the computer systems. With this unrealistic assumption, these models may, thus, distort the inventory decision making in practice. In this study, we develop new (r, Q) models considering the misplaced items to provide inventory managers with realistic decision-making support. In developing the new models, we characterize two cases: backorders and lost-sales. In both cases, we consider stochastic demand and introduce parameters to represent misplaced items. We also propose solution algorithms for model solving. Numerical examples are conducted to demonstrate the applicability and potential of the new (r, Q) models and solution algorithms in making realistic inventory decisions. We further obtain managerial implications. © 2018 IEEE.
