Bozbulut, Ali Rıza

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Profile URL
https://hdl.handle.net/20.500.14411/7685
Name Variants
A.,Bozbulut
B.,Ali Riza
Bozbulut,A.R.
B.,Ali Rıza
B., Ali Riza
A., Bozbulut
Ali Rıza, Bozbulut
Ali Riza, Bozbulut
Bozbulut, Ali Rıza
Bozbulut, Ali Riza
A.R.Bozbulut
Job Title
Doktor Öğretim Üyesi
Email Address
ali.bozbulut@atilim.edu.tr
Main Affiliation
Industrial Engineering
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Former Staff
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Scholarly Output

5

Articles

5

Views / Downloads

20/0

Supervised MSc Theses

0

Supervised PhD Theses

0

WoS Citation Count

122

Scopus Citation Count

137

Patents

0

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0

WoS Citations per Publication

24.40

Scopus Citations per Publication

27.40

Open Access Source

1

Supervised Theses

0

JournalCount
Communications in Statistics - Simulation and Computation1
Computers & Industrial Engineering1
Dependence Modeling1
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability1
Reliability Engineering & System Safety1
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Author: Bozbulut, Ali RizaSubject: Monte-Carlo simulation

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    Article
    Citation - WoS: 37
    Citation - Scopus: 44
    An Algorithmic Approach for the Dynamic Reliability Analysis of Non-Repairable Multi-State Weighted k-out-of-n< System
    (Elsevier Sci Ltd, 2014) Eryilmaz, Serkan; Bozbulut, Ali Riza; Riza Bozbulut, Ali
    In this paper, we study a multi-state weighted k-out-of-n:G system model in a dynamic setup. In particular, we study the random time spent by the system with a minimum performance level of k. Our method is based on ordering the lifetimes of the system's components in different state subsets. Using this ordering along with the Monte-Carlo simulation algorithm, we obtain estimates of the mean and survival function of the time spent by the system in state k or above. We present illustrative computational results when the degradation in the components follows a Markov process. (C) 2014 Elsevier Ltd. All rights reserved.