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
Status
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

14

LIFE BELOW WATER
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0

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2

ZERO HUNGER
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11

SUSTAINABLE CITIES AND COMMUNITIES
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1

NO POVERTY
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12

RESPONSIBLE CONSUMPTION AND PRODUCTION
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7

AFFORDABLE AND CLEAN ENERGY
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12

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5

GENDER EQUALITY
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3

GOOD HEALTH AND WELL-BEING
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9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
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13

CLIMATE ACTION
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6

CLEAN WATER AND SANITATION
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10

REDUCED INEQUALITIES
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4

QUALITY EDUCATION
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15

LIFE ON LAND
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16

PEACE, JUSTICE AND STRONG INSTITUTIONS
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17

PARTNERSHIPS FOR THE GOALS
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8

DECENT WORK AND ECONOMIC GROWTH
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Documents

219

Citations

4749

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39

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Documents

211

Citations

4177

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Scholarly Output

181

Articles

170

Views / Downloads

176/0

Supervised MSc Theses

2

Supervised PhD Theses

0

WoS Citation Count

2984

Scopus Citation Count

3462

WoS h-index

30

Scopus h-index

31

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0

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WoS Citations per Publication

16.49

Scopus Citations per Publication

19.13

Open Access Source

26

Supervised Theses

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 10
  • Thumbnail Image
    Book
    Citation - Scopus: 14
    Discrete Stochastic Models and Applications for Reliability Engineering and Statistical Quality Control
    (CRC Press, 2022) Eryilmaz,S.
    Discrete stochastic models are tools that allow us to understand, control, and optimize engineering systems and processes. This book provides real-life examples and illustrations of models in reliability engineering and statistical quality control and establishes a connection between the theoretical framework and their engineering applications. The book describes discrete stochastic models along with real-life examples and explores not only well-known models, but also comparatively lesser known ones. It includes definitions, concepts, and methods with a clear understanding of their use in reliability engineering and statistical quality control fields. Also covered are the recent advances and established connections between the theoretical framework of discrete stochastic models and their engineering applications. An ideal reference for researchers in academia and graduate students working in the fields of operations research, reliability engineering, quality control, and probability and statistics. © 2023 Serkan Eryilmaz.
  • Thumbnail Image
    Editorial
    Special Issue: International Workshop in Applied Probability 2014
    (Springer, 2016) Eryilmaz, S.; Koutras, Markos V.
    [No Abstract Available]
  • Thumbnail Image
    Editorial
    Discussion of Signature-Based Models of Preventive Maintenance
    (Wiley, 2023) Eryilmaz, Serkan
    [No Abstract Available]
  • Thumbnail Image
    Article
    Citation - WoS: 3
    Citation - Scopus: 8
    Consecutive k-within-m< System With Nonidentical Components
    (Hindawi Ltd, 2012) Eryilmaz, Serkan
    As a generalisation of consecutive k-out-of-n:F and k-out-of-n:F system models, a consecutive k-within-m-out-of-n: F system consists of n linearly ordered components and fails if and only if there are m consecutive components which include among them at least k failed components. In this paper, we study the survival function of a consecutive k-within-m-out-of-n:F system consisting of independent but nonidentical components. We obtain exact expressions for the survival function when 2m >= n. A detailed analysis for consecutive 2-within-m-out-of-n:F systems is presented and the asymptotic behaviour of hazard rate of these systems is investigated using mixture representations.
  • Thumbnail Image
    Editorial
    Citation - Scopus: 4
    Discussion of 'start-up Demonstration Tests: Models, Methods and Applications, With Some Unifications'
    (Wiley, 2014) Eryilmaz, Serkan; Eryılmaz, Serkan; Eryılmaz, Serkan; Industrial Engineering; Industrial Engineering
    [No Abstract Available]
  • Thumbnail Image
    Article
    Citation - Scopus: 28
    On stress-strength reliability with a time-dependent strength
    (2013) Eryilmaz,S.
    The study of stress-strength reliability in a time-dependent context needs to model at least one of the stress or strength quantities as dynamic. We study the stress-strength reliability for the case in which the strength of the system is decreasing in time and the stress remains fixed over time; that is, the strength of the system is modeled as a stochastic process and the stress is considered to be a usual random variable. We present stochastic ordering results among the lifetimes of the systems which have the same strength but are subjected to different stresses. Multicomponent form of the aforementioned stress-strength interference is also considered. We illustrate the results for the special case when the strength is modeled by a Weibull process. © 2013 Serkan Eryilmaz.
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    Article
    Citation - WoS: 1
    Citation - Scopus: 2
    On Extreme Residual Lives After the Failure of the System
    (Hindawi Ltd, 2012) Eryilmaz, Serkan; Bayramoglu, Ismihan
    The concept of residual lifetime has attracted considerable research interest in reliability theory. It is useful for evaluating the dynamic behavior of a system. In this paper, we study the extreme residual lives, that is, the minimum and maximum residual lives of the remaining components after the failure of the system. The system is assumed to have an arbitrary structure. We obtain signature-based distributional and ordering results for the extreme residual lives.
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    Article
    Citation - WoS: 7
    Citation - Scopus: 8
    Generalized Waiting Time Distributions Associated With Runs
    (Springer Heidelberg, 2016) Eryilmaz, Serkan
    Let be a {X-t, t >= 1} sequence of random variables with two possible values as either "1" (success) or "0" (failure). Define an independent sequence of random variables {D-i, i >= 1}. The random variable is associated with the success when it occupies the ith place in a run of successes. We define the weight of a success run as the sum of the D values corresponding to the successes in the run. Define the following two random variables: is the number of trials until the weight of a single success run exceeds or equals k, and is the number of trials until the weight of each of r success runs equals or exceeds k in {X-t, t >= 1}. Distributional properties of the waiting time random variables and are studied and illustrative examples are presented.
  • Thumbnail Image
    Editorial
    Special Issue: Computational Methods in System Reliability
    (Elsevier B.V., 2024) Tank F., Professor,; Eryilmaz S., Professor,
    [No abstract available]
  • Thumbnail Image
    Article
    Citation - WoS: 8
    Citation - Scopus: 9
    Life Behavior of a System Under Discrete Shock Model
    (Hindawi Ltd, 2012) Eryilmaz, Serkan
    We study the life behavior of a system which is subjected to shocks of random magnitudes over discrete time periods. We obtain the survival function and mean time to failure of the system assuming that the sizes of the shocks follow a discrete probability distribution under cumulative and mixed shock models.