In the last decade, the adoption of technological tools in manufacturing industry, such as the
use of the Internet of Things (IoT) and Machine Learning (ML), has led to the advent of the …

The use of additive manufacturing (AM) can improve the green performance of supply
chains. However, adopting a centralized or a decentralized supply chain remains an open …

We present an agile maintenance framework where technician assignment and
maintenance schedules are planned jointly to ensure timely operation and maintenance …

The continuity of activity and competition in the global renewable energy market has driven
manufacturers to shift from centralized to decentralized structures and to develop multi …

We develop a model of a maintenance policy in which inspections are partly opportunistic
and partly scheduled. Opportunities for inspection occur at random, and the system is …

Abstract Accepted by: M. Zied Babai We study an aged-based replacement policy with two
control limits. The first triggers opportunistic replacement and the second triggers a …

In the context of global climate goals and the transition to sustainable energy, modern
energy transportation and distribution systems play a crucial role. Electricity transportation …

The application of machine learning in predicting regular and ad-hoc maintenance demand
has been widely discussed recently. Reliable forecasting of uncontrollable, ad-hoc …

Automatic train protection (ATP) system is essential for ensuring the safe operation of high‐
speed trains. However, the existing extensive and fixed maintenance mode of the ATP …

This paper addresses the scheduling maintenance operations for a set of geographically
dispersed production equipment. We consider various equipment subject to uncertain …