Copula-Based Dependence Modeling and Reliability Optimization in Weighted k-out-of-n Systems  
Author

Yiping Yan

 

Co-Author(s)

Tiantian Li;  Rongfang Yan; Jiandong Zhang

 

Abstract This paper studies active redundancy allocation in weighted k-out-of-n systems under a copula-based dependence framework. To account for the dependence between a component and its attached redundancy, copula theory is used to characterize their joint behavior, while the original component lifetimes are assumed to be mutually independent. By employing the usual stochastic order as a comparison criterion, we derive
sufficient conditions for identifying preferred allocation policies in two scenarios. First, when two components have identical lifetime distributions but different weights, the results show that the stronger redundancy should be assigned to the component with the larger weight under appropriate copula ordering conditions. Second, when two components have equal weights but different lifetime distributions, the stronger redundancy should be attached to the stochastically weaker component under suitable stochastic ordering and quadrant dependence conditions. Numerical examples are presented to illustrate the theoretical results.

 

Keywords Weighted k-out-of-n systems, Dependence, Active redundancy, Stochastic order
   
    Article #:  RQD2026-270
 

Proceedings of 31st ISSAT International Conference on Reliability & Quality in Design
August 5-7, 2026