The objective of this work is to review the literature of the main concepts that lead to
determining the strategic approach, creation of strategies, organizational structures, strategy …

Process fault detection and diagnosis (FDD) is a predominant task to ensure product quality
and process reliability in modern industrial systems. Those traditional FDD techniques are …

The main roles of fault detection and diagnosis (FDD) for industrial processes are to make
an effective indicator which can identify faulty status of a process and then to take a proper …

Fault prognosis is mainly referred to the estimation of the operating time before a failure
occurs, which is vital for ensuring the stability, safety and long lifetime of degrading industrial …

As on-demand streaming technology rapidly expanded, binge-watching (ie, watching
multiple episodes of TV series back-to-back) has become a widespread activity, and …

The productions quality has become one of the essential issues in the modern
manufacturing industry and several techniques have introduced for control and monitoring …

This article proposes a robust end-to-end deep learning-induced fault recognition scheme
by stacking multiple sparse-denoising autoencoders with a Softmax classifier, called stacked …

Fault-finding diagnostics is a model-driven approach that identifies a system's
malfunctioning portion. It uses residual generators to identify faults, and various methods like …

As IoT-enabled manufacturing is still in its infancy, there are several key research gaps that
need to be addressed. These gaps include the understanding of the characteristics of the …

Simulation models are one of the most used quantitative approaches for modeling and
decision-making in production and logistic systems. In the Industry 4.0 context, new …