Reliability Optimization Methods: A Systematic Literature Review

  • Shakuntla Singla Department of Mathematics and Humanities, MMEC, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala http://orcid.org/0000-0002-5713-2982
  • Diksha Mangla Department of Mathematics and Humanities, MMEC, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala
  • Ajender Kumar Malik School of Sciences, UP Rajarshi Tandon Open University, Shantipuram Prayagraj211021
  • Umar Muhammad Modibbo Department of Statistics and Operations Research, Modibbo Adama University,P.M.B. 2076 Yola-Nigeria http://orcid.org/0000-0002-9242-4948

Abstract

The industry is a system that combines parallel, series, or combination of two to transform cheap raw materials into valuable goods. Occasionally, the system may also consist of subunits that can be arranged in various ways. The series arrangement is represented when the system fails completely because of the failure of every subunit (also called complete failure); conversely, when the system operates with low efficiency, i.e., this illustrates the arrangement in a parallel fashion in a reduced state (called partial failure). In order to learn about the advancements in the field of reliability theory and to determine which research methods are most frequently employed by researchers, a brief survey covering the years 1958 to 2024 was conducted for the paper. The overall impact of the functioning system's state on its dependability is further discussed in this study by reviewing 112 papers selected from the study of 220 papers taken from reputed journals. In this study, we've taken into account the reviews of numerous researchers and investigated the most popular approach for overcoming others' obstacles. Additionally, which variables influence the primary reliability metrics in their work and how? These are complemented by graphics and table.

Published
2024-07-18
How to Cite
SINGLA, Shakuntla et al. Reliability Optimization Methods: A Systematic Literature Review. Yugoslav Journal of Operations Research, [S.l.], july 2024. ISSN 2334-6043. Available at: <https://yujor.fon.bg.ac.rs/index.php/yujor/article/view/1283>. Date accessed: 21 nov. 2024. doi: https://doi.org/10.2298/YJOR230715031S.
Section
Review Articles

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.