Eryılmaz, Serkan

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https://hdl.handle.net/20.500.14411/7214
Name Variants
E., Serkan
Eryilmaz, S
E.,Serkan
S., Eryilmaz
Eryılmaz, Serkan
Eryilmaz, S.
Eryilmaz,S.
Eryilmaz, Serkan
S.,Eryılmaz
Eryilmaz S.
Serkan, Eryılmaz
Erylmaz S.
Eryılmaz S.
Eryilmaz, SN
S., Eryılmaz
Eryılmaz,S.
Serkan, Eryilmaz
S.,Eryilmaz
EryIlmaz S.
Eryilmaz S., Professor,
Job Title
Profesor Doktor
Email Address
serkan.eryilmaz@atilim.edu.tr
Main Affiliation
Industrial Engineering
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Website
ORCID ID
0000-0002-2108-1781
Scopus Author ID
8203625300
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
AAF-9349-2019

Sustainable Development Goals

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LIFE BELOW WATER
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2

ZERO HUNGER
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11

SUSTAINABLE CITIES AND COMMUNITIES
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RESPONSIBLE CONSUMPTION AND PRODUCTION
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7

AFFORDABLE AND CLEAN ENERGY
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GENDER EQUALITY
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3

GOOD HEALTH AND WELL-BEING
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INDUSTRY, INNOVATION AND INFRASTRUCTURE
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CLIMATE ACTION
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CLEAN WATER AND SANITATION
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REDUCED INEQUALITIES
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QUALITY EDUCATION
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LIFE ON LAND
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PEACE, JUSTICE AND STRONG INSTITUTIONS
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DECENT WORK AND ECONOMIC GROWTH
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Documents

219

Citations

4749

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39

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Documents

211

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4177

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Scholarly Output

181

Articles

170

Views / Downloads

176/0

Supervised MSc Theses

2

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WoS Citation Count

2984

Scopus Citation Count

3453

WoS h-index

30

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31

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WoS Citations per Publication

16.49

Scopus Citations per Publication

19.08

Open Access Source

26

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2

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JournalCount
Reliability Engineering & System Safety28
Journal of Computational and Applied Mathematics20
IEEE Transactions on Reliability15
Applied Stochastic Models in Business and Industry10
Statistics & Probability Letters9
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End date: 2026Start date: 2020

Scholarly Output Search Results

Now showing 1 - 10 of 59
  • Thumbnail Image
    Article
    Citation - WoS: 14
    Citation - Scopus: 15
    Discrete Time Series-Parallel System and Its Optimal Configuration
    (Elsevier Sci Ltd, 2021) Dembinska, Anna; Eryilmaz, Serkan
    This paper is concerned with properties of series-parallel systems when the component lifetimes have discrete failure time distribution. For a series-parallel system consisting of a specified number of subsystems, we particularly focus on the number of failed components in each subsystem at the time when the system fails. Each subsystem is assumed to have identical components while different subsystems have different types of components. Assuming all components within the system are independent, we obtain exact distributions of the number of failed components at the time when the system fails. For the special case when the components have phase-type failure time distributions, matrix-based expressions are derived for the quantities under concern. The results are used to obtain optimal configuration of the series-parallel system which is replaced at failure.
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    Article
    Citation - WoS: 8
    Citation - Scopus: 10
    Computing Reliability Indices of a Wind Power System Via Markov Chain Modelling of Wind Speed
    (Sage Publications Ltd, 2024) Eryilmaz, Serkan; Bulanik, Irem; Devrim, Yilser
    Statistical modelling of wind speed is of great importance in the evaluation of wind farm performance and power production. Various models have been proposed in the literature depending on the corresponding time scale. For hourly observed wind speed data, the dependence among successive wind speed values is inevitable. Such a dependence has been well modelled by Markov chains. In this paper, the use of Markov chains for modelling wind speed data is discussed in the context of the previously proposed likelihood ratio test. The main steps for Markov chain based modelling methodology of wind speed are presented and the limiting distribution of the Markov chain is utilized to compute wind speed probabilities. The computational formulas for reliability indices of a wind farm consisting of a specified number of wind turbines are presented through the limiting distribution of a Markov chain. A case study that is based on real data set is also presented.
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    Article
    A Class of Shock Models for a System That Is Equipped With a Protection Block With an Application to Wind Turbine Reliability
    (Wiley, 2025) Eryilmaz, Serkan
    This paper studies a class of shock models for a system that is equipped with a protection block that has its own failure rate. Under the considered class, the system exposed to shocks at random times is protected by the protection block, and the probability of the shock damaging the system varies depending on whether the protection block operates or not. The system failure criteria is defined based on the pattern of the critical/damaging shocks. Exact expressions for the reliability and mean time to failure of the system are obtained, and detailed computations are presented for the run shock model, which is included in the class. The application of the extreme shock model, which is included in the relevant class, to wind turbine reliability is also discussed.
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    Article
    Citation - WoS: 10
    Citation - Scopus: 11
    Reliability and Performance Evaluation of Weighted K-out-of- N :g System Consisting of Components With Discrete Lifetimes
    (Elsevier Sci Ltd, 2024) Eryilmaz, Serkan
    For the k-out-of-n n system consisting of components that have different weights, the system is in a good state if the total weight of working components is at least k . Such a system is known to be weighted k-out-of- n :G system. Although the weighted k-out-of-n n system that has continuously distributed components' lifetimes has been extensively studied, the discrete weighted k-out-of- n :G system has not been considered yet. The present paper fills this gap by modeling and analyzing the weighted k-out-of-n:G n :G system that consists of discretely distributed components' lifetimes. In particular, the behavior of the total capacity/weight of the system with respect to the component failures is evaluated. An optimization problem that is concerned with the determination of optimal number of spare components is also formulated by utilizing the mean lost capacity of the system.
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    Article
    Citation - WoS: 2
    Citation - Scopus: 1
    Age replacement policies for discrete and continuous heterogeneous k-out-of-n systems
    (Springer, 2024) Eryilmaz, Serkan; Bulanik, Irem
    This paper studies age replacement policy for the k-out-of-n system that consists of independent but nonidentical components. Both continuously and discretely distributed components' lifetimes are considered. The failed components are replaced by new components and non-failed components are rejuvenated. Because the components are non-identical, the acquisition and rejuvenation costs of the components are chosen differently. The policy and the associated optimization problem are presented for general k and n, and 2-out-of-3 systems are studied in detail. The findings of the present paper extend the results in the literature from parallel systems to k-out-of-n systems.
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    Article
    Citation - WoS: 20
    Citation - Scopus: 23
    A New Generalized Δ-Shock Model and Its Application To 1-out-of-(m+1):g Cold Standby System
    (Elsevier Sci Ltd, 2023) Eryilmaz, Serkan; Unlu, Kamil Demirberk
    According to the classical delta-shock model, the system failure occurs upon the occurrence of a new shock that arrives in a time length less than delta, a given positive value. In this paper, a new generalized version of the delta-shock model is introduced. Under the proposed model, the system fails if there are m shocks that arrive in a time length less than delta after a previous shock, m >= 1. The mean time to failure of the system is approximated for both discretely and continuously distributed intershock time distributions. The usefulness of the model is also shown to study 1-out-of-(m + 1):G cold standby system. Illustrative numerical results are presented for geometric, exponential, discrete and continuous phase-type intershock time distributions.
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    Article
    Citation - WoS: 19
    Citation - Scopus: 14
    Assessment of Shock Models for a Particular Class of Intershock Time Distributions
    (Springer, 2022) Kus, Coskun; Tuncel, Altan; Eryilmaz, Serkan
    In this paper, delta and extreme shock models and a mixed shock model which combines delta-shock and extreme shock models are studied. In particular, the interarrival times between successive shocks are assumed to belong to a class of matrix-exponential distributions which is larger than the class of phase-type distributions. The Laplace -Stieltjes transforms of the systems' lifetimes are obtained in a matrix form. Survival functions of the systems are approximated based on the Laplace-Stieltjes transforms. The results are applied for the reliability evaluation of a certain repairable system consisting of two components.
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    Article
    On 𝜹-Shock Model With a Change Point in Intershock Time Distribution
    (Statistics & Probability Letters, 2024) Chadjiconstantinidis, Stathis; Eryılmaz, Serkan
    In this paper, we study the reliability of a system that works under 𝛿-shock model. That is, the system failure occurs when the time between two successive shocks is less than a given thresh old 𝛿. In a traditional setup of the 𝛿 shock model, the intershock times are assumed to have the same distribution. In the present setup, a change occurs in the distribution of the intershock times due to an environmental effect. Thus, the distribution of the intershock times changes after a random number of shocks. The reliability of the system is studied under this change point setup.
  • Thumbnail Image
    Book Part
    Shocks, Scans, and Reliability Systems
    (Springer New York, 2024) Eryilmaz,S.
    This chapter summarizes the close connection between one of the widely studied shock models known as δ-shock model and runs/scans. Under discrete time setting, i.e., when the shocks occur according to a binomial process, the linkage between the lifetime of the system under the shock model and the waiting time for the first scan is presented. Such a useful connection may create a new perspective to study the reliability properties of the system under the δ-shock model. © Springer Science+Business Media, LLC, part of Springer Nature 2024.
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    Article
    Citation - WoS: 14
    Citation - Scopus: 14
    The Number of Failed Components in Series-Parallel System and Its Application To Optimal Design
    (Pergamon-elsevier Science Ltd, 2020) Eryilmaz, Serkan; Ozkurt, Fatma Yerlikaya; Erkan, T. Erman
    The number of components that are failed at the time of system failure is a useful quantity since it gives an idea of how many spares should be available to replace all failed components upon the system failure. In this paper, the number of failed components is considered at subsystem and system levels for the series-parallel system that consists of K subsystems. In particular, the joint behavior of the number of failed components in each subsystem is studied when each subsystem has identical components and different subsystems have different types of components. The results are then used to find the optimal number of components in each subsystem by minimizing an expected cost per unit of time upon the system failure.