—The paper examines the profound impact on the forecasted system reliability when one assumes average reliabilities on demand for components of various kinds but of the same type. In this paper, we use reverse engineering of a novel algebraic inequality to demonstrate that the prevalent practice of using average reliability on demand for components of the same type but different varieties to calculate system reliability on demand is fundamentally flawed. This approach can introduce significant errors due to the innate variability of components within a given type. Additionally, the paper illustrates the optimization of engineering processes using reverse engineering of sub-additive algebraic inequalities based on concave power laws. Employing reverse engineering on these sub-additive inequalities has paved the way for strategies that enhance the performance of diverse industrial processes. The primary advantage of these subadditive inequalities lies in their simplicity, rendering them particularly suitable for reverse engineering.
Todinov, Michael
School of Engineering, Computing and Mathematics
Year of publication: 2023Date of RADAR deposit: 2023-09-22
“© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.”