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

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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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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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CLIMATE ACTION
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CLEAN WATER AND SANITATION
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REDUCED INEQUALITIES
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4

QUALITY EDUCATION
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15

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

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4740

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39

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Documents

211

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4173

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Scholarly Output

181

Articles

170

Views / Downloads

176/0

Supervised MSc Theses

2

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WoS Citation Count

2982

Scopus Citation Count

3453

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30

Scopus h-index

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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Author: Eryilmaz,S.Subject: [No Keyword Available]

Scholarly Output Search Results

Now showing 1 - 2 of 2
  • 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
    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.