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
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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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GOOD HEALTH AND WELL-BEING
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9

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

4740

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Documents

211

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Scholarly Output

181

Articles

170

Views / Downloads

176/0

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2

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WoS Citation Count

2982

Scopus Citation Count

3453

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30

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31

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WoS Citations per Publication

16.48

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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Now showing 1 - 10 of 122
  • Thumbnail Image
    Article
    Citation - WoS: 1
    Citation - Scopus: 2
    On the First Time of Ruin in Two-Dimensional Discrete Time Risk Model With Dependent Claim Occurrences
    (Taylor & Francis inc, 2018) Eryilmaz, Serkan
    This article is concerned with a two-dimensional discrete time risk model based on exchangeable dependent claim occurrences. In particular, we obtain a recursive expression for the finite time non ruin probability under such a dependence among claim occurrences. For an illustration, we define a bivariate compound beta-binomial risk model and present numerical results on this model by comparing the corresponding results of the bivariate compound binomial risk model.
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    Article
    Citation - WoS: 29
    Citation - Scopus: 31
    Computing Marginal and Joint Birnbaum, and Barlow-Proschan Importances in Weighted-k-out-of-n< Systems
    (Pergamon-elsevier Science Ltd, 2014) Eryilmaz, Serkan; Bozbulut, Ali Riza
    A weighted-k-out-of-n:G system is a system that consists of n binary components, each with its own positive weight, and operates only when the total weight of working components is at least k. Such a structure is useful when the components have different contributions to the performance of the entire system. This paper is concerned with both marginal and joint Birnbaum, and Barlow-Proschan (BP) importances of the components in weighted- k-out-of-n:G systems. The method of universal generating function is used for computing marginal and joint Birnbaum importances. The method for computing BP-importance is based on a direct probabilistic approach. Extensive numerical calculations are presented. By the help of these calculations and illustrations, it is possible to observe how the marginal and joint importances change with respect to the weights of components. (C) 2014 Elsevier Ltd. All rights reserved.
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    Article
    Citation - WoS: 5
    Component Importance in Coherent Systems With Exchangeable Components
    (Cambridge Univ Press, 2015) Eryilmaz, Serkan
    This paper is concerned with the Birnbaum importance measure of a component in a binary coherent system. A representation for the Birnbaum importance of a component is obtained when the system consists of exchangeable dependent components. The results are closely related to the concept of the signature of a coherent system. Some examples are presented to illustrate the results.
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    Article
    Citation - WoS: 60
    Citation - Scopus: 64
    Computing Optimal Replacement Time and Mean Residual Life in Reliability Shock Models
    (Pergamon-elsevier Science Ltd, 2017) Eryilmaz, Serkan
    In this paper, matrix-based methods are presented to compute the optimal replacement time and mean residual lifetime of a system under particular class of reliability shock models. The times between successive shocks are assumed to have a common continuous phase-type distribution. The system's lifetime is represented as a compound random variable and some properties of phase-type distributions are utilized. Extreme shock model, run shock model, and generalized extreme shock model are shown to be the members of this class. Graphical illustrations and numerical examples are presented for the run shock model when the interarrival times between shocks follow Erlang distribution. (C) 2016 Elsevier Ltd. All rights reserved.
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    Article
    Citation - WoS: 30
    Citation - Scopus: 34
    Discrete Time Shock Models in a Markovian Environment
    (Ieee-inst Electrical Electronics Engineers inc, 2016) Eryilmaz, Serkan
    This paper deals with two different shock models in a Markovian environment. We study a system from a reliability point of view under these two shock models. According to the first model, the system fails if the cumulative shock magnitude exceeds a critical level, while in the second model the failure occurs when the cumulative effect of the shocks in consecutive periods is above a critical level. The shock occurrences over discrete time periods are assumed to be Markovian. We obtain expressions for the failure time distributions of the system under the two model. Illustrative computational results are presented for the survival probabilities and mean time to failure values of the system.
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    Article
    Citation - WoS: 23
    Citation - Scopus: 26
    Lifetime of Multistate k-out-of-n< Systems
    (Wiley-blackwell, 2014) Eryilmaz, Serkan
    A multistate k-out-of-n system model is an extension of binary k-out-of-n system model by allowing multiple performance levels for the system and its components. Various definitions of multistate k-out-of-n system model have been proposed in the literature. Previous studies on these systems mostly focus on reliability evaluation algorithms. The present paper investigates the lifetimes of multistate systems. In particular, the lifetimes of two different multistate k-out-of-n system models are represented in terms of order statistics, and bounds and approximations are presented using these representations. The results are illustrated for a multistate system whose components' degradation occurs according to a Markov process. Copyright (C) 2013 John Wiley & Sons, Ltd.
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    Article
    Citation - WoS: 17
    Citation - Scopus: 16
    A Study on Reliability of Coherent Systems Equipped With a Cold Standby Component
    (Springer Heidelberg, 2014) Eryilmaz, Serkan
    In this paper, we investigate the effect of a single cold standby component on the performance of a coherent system. In particular, we focus on coherent systems which may fail at the time of the first component failure in the system. We obtain signature based expressions for the survival function and mean time to failure of the coherent systems satisfying the abovementioned property.
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    Article
    Citation - WoS: 7
    Citation - Scopus: 8
    Modeling Systems With Two Dependent Components Under Bivariate Shock Models
    (Taylor & Francis inc, 2019) Eryilmaz, Serkan
    Series and parallel systems consisting of two dependent components are studied under bivariate shock models. The random variables N-1 and N-2 that represent respectively the number of shocks until failure of component 1 and component 2 are assumed to be dependent and phase-type. The times between successive shocks are assumed to follow a continuous phase-type distribution, and survival functions and mean time to failure values of series and parallel systems are obtained in matrix forms. An upper bound for the joint survival function of the components is also provided under the particular case when the times between shocks follow exponential distribution.
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    Article
    Citation - WoS: 3
    Citation - Scopus: 3
    On the Mean Number of Remaining Components in Three-State k-out-of-n< System
    (Elsevier Science Bv, 2015) Eryilmaz, Serkan; Eryılmaz, Serkan; Eryılmaz, Serkan; Industrial Engineering; Industrial Engineering
    A three-state k-out-of-n system with n independent components is considered, where the vector k of integers is determined by given fixed scalars k(1) and k(2) such that k(1), k(2) <= n. The mean number of components of each type either in a perfect functioning state or in a partially working state at the time of the system failure and at a time while the system is working are studied. An optimization problem concerned with the most economical value of n is also formulated. (C) 2015 Elsevier B.V. All rights reserved.
  • Thumbnail Image
    Article
    Citation - WoS: 18
    Citation - Scopus: 21
    Modeling Dependence Between Two Multi-State Components Via Copulas
    (Ieee-inst Electrical Electronics Engineers inc, 2014) Eryilmaz, Serkan
    Modeling statistical dependence between two systems or components is an important problem in reliability theory. Such a problem has been well studied for binary systems and components. In the present paper, we provide a way for modeling s-dependence between two multi-state components. Our method is based on the use of copulas which are very popular for modeling s-dependence. We obtain expressions for the joint state probabilities of the two components, and illustrate the results for the case when the degradation in both components follows a Markov process.