Optimization of Age Replacement Policies for CoherentSystems Using the System Signature Vector

الملخص

 Abstract
Preventive maintenance plays a pivotal role in enhancing reliability and
reducing the operational costs of mechanical systems. One of the effective
strategies in this domain is the age replacement policy, wherein system
components are replaced at a predetermined age before failure occurs. This
study investigates the optimization of age replacement strategies in
coherent systems using the concept of the signature vector. The signature
vector of a coherent system represents the system's lifetime in terms of n
independent and identically distributed components, and it defines an ndimensional probability vector where the i-th element, Si is, denotes the
probability that the system fails precisely upon the failure of its i-th
component. Coherent systems whose overall functionality is dependent on
the performance of their constituent elements—serve as the analytical
foundation of this research. Simulation results and numerical analyses
indicate that implementing optimal age replacement policies can lead to a
reduction in failure rates, an extension of the system’s useful life, and a
significant decrease in total life-cycle costs. Ultimately, this study offers a
data-driven
Keywords: Age Replacement, Coherent Systems, Optimization, Preventive
Maintenance, Reliability