Selective maintenance is regarded as a type of profit‐generating maintenance policy,
playing an important role in balancing limited maintenance resources with system …

This paper develops a predictive selective maintenance framework using deep learning and
mathematical programming. We consider a multi-component system executing consecutive …

The selective maintenance problem (SMP) arises in many mission-oriented multi-
component systems that are operated for consecutive missions interspersed with finite …

This paper deals with the selective maintenance problem for a multi-component system
performing consecutive missions separated by scheduled breaks. To increase the …

This paper deals with selective maintenance of a multi-component system, performing
several missions seceded by scheduled breaks. To improve the probability of successfully …

To improve the probability that an engineering system successfully completes its next
mission, it is crucial to implement timely maintenance activities, especially when …

This paper addresses a selective maintenance optimization problem for a fuzzy multi-state
system composed of fuzzy multi-state elements. Due to insufficient data and unpredictable …

A selective maintenance model for multistate systems that simultaneously considers the
random uncertainty of the system mission period and mission breaks and the requirements …

The maintenance strategies commonly employed in industrial settings primarily rely on
theoretical models that often overlook the actual operating conditions. To address this …

It is common in many industrial settings to have large multicomponent systems perform
consecutive missions interspersed with finite breaks during which a limited set of component …