Eryılmaz, Serkan

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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
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals

14

LIFE BELOW WATER
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0

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2

ZERO HUNGER
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0

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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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PEACE, JUSTICE AND STRONG INSTITUTIONS
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17

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8

DECENT WORK AND ECONOMIC GROWTH
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Documents

219

Citations

4749

h-index

39

Documents

211

Citations

4177

Scholarly Output

181

Articles

170

Views / Downloads

176/0

Supervised MSc Theses

2

Supervised PhD Theses

0

WoS Citation Count

2984

Scopus Citation Count

3453

WoS h-index

30

Scopus h-index

31

Patents

0

Projects

0

WoS Citations per Publication

16.49

Scopus Citations per Publication

19.08

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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  • Article
    Citation - WoS: 7
    Citation - Scopus: 8
    Analysis of the Two-Unit Cold Standby Repairable System With Damage and Repair Time Dependency Via Matrix-Exponential Distributions
    (Taylor & Francis Ltd, 2021) Kus, Coskun; Eryilmaz, Serkan
    In this paper, two-unit standby repairable system is studied via matrix-exponential distributions. The system under concern consists of one active and one standby components, and fails if either a damage size upon the failure of the active component is larger than a repair limit or the repair time of the failed unit exceeds the lifetime of the active unit, whichever happens first. Under the assumption that the damage size and repair time are statistically dependent, the Laplace transform of the system's lifetime is obtained. The Laplace transform is shown to be rational under particular cases, and the reliability evaluation of the system is performed via well-known distributional properties of the matrix-exponential distributions. The problem of estimating the unknown parameters of the operation time and repair time distributions is also discussed based on system's lifetime data.