The use of big data has garnered increasing importance in academic research and
managerial practice thanks to the benefits it can produce in terms of innovation. However …

The growing importance of Big Data in the food industry enables businesses to leverage
information to gain a competitive advantage. This paper provides a systematic literature …

Consider a coherent system, in which the degradation processes of its performance
characteristics are positively correlated, this paper systematically investigates a bivariate …

Traditionally, the Gaussian assumption, implied by the Wiener process, is widely admitted
for modeling degradation processes. However, when degradation data exhibit heavy tails …

This paper describes a subset of Industry 4.0, namely, Quality 4.0. Industry 4.0, has brought
with it many changes to industry and changes that will directly impact root cause analysis …

Degradation data have been broadly used for assessing product and system reliability. Most
existing work focuses on modeling and analysis of degradation data with a single …

Big Data advancements motivate researchers to develop and improve intelligent models to
deal efficiently and effectively with data. In this scenario, time series forecasting obtains even …

In 2015, it was adopted the 2030 Agenda for Sustainable Development to end poverty,
protect the planet and ensure that all people enjoy peace and prosperity. The year after, 17 …

This study investigates the issue of optimal preventive replacement scheduling for a
repairable system, considering its failure/repair history and its environment or degradation …

Artificial intelligence (AI) systems are increasingly popular in many applications.
Nevertheless, AI technologies are still develo**, and many issues need to be addressed …