Discrete Stochastic Models and Applications for Reliability Engineering and Statistical Quality Control

No Thumbnail Available

Date

2022

Journal Title

Journal ISSN

Volume Title

Publisher

CRC Press

Open Access Color

Green Open Access

No

OpenAIRE Downloads

OpenAIRE Views

Publicly Funded

No
Impulse
Top 10%
Influence
Average
Popularity
Top 10%

Research Projects

Journal Issue

Abstract

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.

Description

Keywords

[No Keyword Available]

Turkish CoHE Thesis Center URL

Fields of Science

Citation

WoS Q

Scopus Q

OpenCitations Logo
OpenCitations Citation Count
6

Source

Discrete Stochastic Models and Applications for Reliability Engineering and Statistical Quality Control

Volume

Issue

Start Page

1

End Page

170

Collections

PlumX Metrics
Citations

Scopus : 14

Captures

Mendeley Readers : 5

Google Scholar Logo
Google Scholar™
OpenAlex Logo
OpenAlex FWCI
4.39376219

Sustainable Development Goals

3

GOOD HEALTH AND WELL-BEING
GOOD HEALTH AND WELL-BEING Logo