This study systematically summarizes previous research efforts on Data Envelopment
Analysis (DEA) applied to energy and environment in the past four decades, including …

In recent years there has been an exponential growth in the number of publications related
to theory and applications of Data Envelopment Analysis (DEA). Charnes, Cooper, and …

Introduces a bold, new model for energy industry pollution prevention and sustainable
growth Balancing industrial pollution prevention with economic growth is one of the knottiest …

Turnaround maintenance (TAM) is a usual plant shutdown that is done by process industries
to perform asset inspections, repairs, and overhauls. TAM engineering projects are needed …

When there is an extensive number of inputs and outputs compared to the number of DMUs,
one of the drawbacks of Data Envelopment Analysis appears, which incorrectly classifies …

Gas refineries have been continuously focusing on Health, Safety and Environment
programs to improve maintenance activities. Several researches have studied on this area …

Diverse maintenance performance models have been previously proposed in literature.
However, many of these frameworks perform inefficiently or are not applicable in real-world …

Over the last few years, Petrobras has sought to reduce divers' exposure to risk, as well as
reduce this dependence on human diving in its underwater activities and reducing critical …

This study presents a combined artificial neural network (ANN) and multivariate approach for
performance evaluation and optimization of gas refineries. This study introduces standard …

The operation and maintenance is one of the most important territories of the automotive
industry. From the mathematical point of view, maintenance is a discrete state space …