...-driven approaches, including data scarcity, heterogeneous cross-variety data distributions, and the coexistence of scalar and functional variables. Design/methodology/approach This study proposes a Heterogeneous-data-based Family Bayesian Network (H-FamilyBN) learning scheme for cross-variety RCA...

... (OCs) on the operational reliability and remaining useful life (RUL) of machinery. A probabilistic graphical method called Bayesian network (BN) was used for studying the effect of OCs on the system performance. The developed methodology has been demonstrated by analyzing the operational reliability...

... for vehicle quality analysis based on maintenance record mining and Bayesian Network. It includes the development of a comprehensive dictionary for efficient classification of maintenance items, and the establishment of a Bayesian Network model for vehicle quality evaluation. The vehicle design parameters...

... understanding of the pandemic's effects and late deployment of recovery measures. Therefore, this study aims to consider the impact of implementing Bayesian network (BN) modelling to measure SC performance in the airline catering context. Design/methodology/approach This study presents a method...

... and Bayesian network (BN) is utilized to address the uncertainty and conditional dependencies among factors in each step of the process. The weighted values are fed into the BN for evaluating the impact of each factor to the process. A three axiom-based approach is utilized to partially validate the proposed...

...Barry Cobb; Linda Li Purpose Bayesian networks (BNs) are implemented for monitoring a process via statistical process control (SPC) where attribute data are available on output from the system. The paper aims to discuss this issue. Design/methodology/approach The BN provides a graphical...