Modeling and Analysis of Weighted-<i>k</I>-out-of-<i>n< G System Consisting of Two Different Types of Components

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2014

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Sage Publications Ltd

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Industrial Engineering
(1998)
Industrial Engineering is a field of engineering that develops and applies methods and techniques to design, implement, develop and improve systems comprising of humans, materials, machines, energy and funding. Our department was founded in 1998, and since then, has graduated hundreds of individuals who may compete nationally and internationally into professional life. Accredited by MÜDEK in 2014, our student-centered education continues. In addition to acquiring the knowledge necessary for every Industrial engineer, our students are able to gain professional experience in their desired fields of expertise with a wide array of elective courses, such as E-commerce and ERP, Reliability, Tabulation, or Industrial Engineering Applications in the Energy Sector. With dissertation projects fictionalized on solving real problems at real companies, our students gain experience in the sector, and a wide network of contacts. Our education is supported with ERASMUS programs. With the scientific studies of our competent academic staff published in internationally-renowned magazines, our department ranks with the bests among other universities. IESC, one of the most active student networks at our university, continues to organize extensive, and productive events every year.

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Abstract

This article is concerned with the reliability analysis of a weighted-k-out-of-n: G system consisting of two types of components. The system is assumed to have n components which are classified into two groups with respect to their weight and reliability, and it is assumed to operate if the total weight of all working components exceeds a prespecified threshold k. The reliability properties of such a system are studied. The optimal values of the number of components in each group are also determined under a minimum required reliability by minimizing the total acquisition cost.

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Eryilmaz, Serkan/0000-0002-2108-1781; SARIKAYA, KADIR/0000-0001-9015-6209
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Eryilmaz, Serkan ORCID logo
SARIKAYA, KADIR ORCID logo

Keywords

Reliability, mean time to failure, importance measure

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Q3

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Volume

228

Issue

3

Start Page

265

End Page

271

URI

https://doi.org/10.1177/1748006X13515647
 https://hdl.handle.net/20.500.14411/170

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