Filters

2013 - 201912020 - 20221
Reset filters

Settings

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

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: 27
    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.