| Issue |
RAIRO-Oper. Res.
Volume 60, Number 1, January-February 2026
|
|
|---|---|---|
| Page(s) | 307 - 327 | |
| DOI | https://doi.org/10.1051/ro/2025144 | |
| Published online | 06 March 2026 | |
Reliability measures of dynamic circular sliding window system
Department of Mathematics, Statistics and Computer Science, G.B. Pant University of Agriculture and Technology, Pantnagar, India
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Received:
29
September
2024
Accepted:
21
October
2025
Abstract
In this modern era of dynamic reliability analysis, this paper introduces the dynamic circular multi-state sliding window system (DCMSWS), an innovative mathematical model that extends the concept of a circular sliding window system into dynamic scenarios. DCMSWS is considered to have failed when the combined performance of r consecutive multistate elements (MEs) falls below a predefined threshold, W. Each component type has a number of distinct individual components with variable states that change over time, making the state probabilities of those components time-dependent. By employing an algorithm grounded in Lz-transform, dynamic reliability measures comprising reliability, availability, mean expected performance, and expected profit are derived for the water supply system. This study represents a pioneering effort in dynamic circular multi-state sliding window systems and their evaluation using the Lz transform, intimately connected with queuing theory.
Mathematics Subject Classification: 90B25 / 60K20
Key words: Lz transform / dynamic circular multi-state sliding window system (DCMSWS) / reliability / availability / cost analysis
© The authors. Published by EDP Sciences, ROADEF, SMAI 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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