In today's competitive environment, process industry companies are focused on two key objectives: profitability and delivering value to customers. However, these objectives are often disparate goals ...

Before you can design quality into any process, there’s a moment where you need to step beyond mapping the workflow. Knowing what happens is good, but knowing why things happen the way they do is ...

Abstract: When all process variables are used to establish one data-based model, some variables have little contributions to the model. When these variables are grouped into a small local variable set ...

In this article, as in industry, advanced process control (APC) refers primarily to multi-variable control. Multivariable control means adjusting multiple single-loop controllers in unison, to meet ...

Understanding how different units of an industrial production plant are operationally related is key to improving production quality and sustainability. Data science has proven indispensable in ...

Abstract: The feature extraction and selection of process variables and the calculation of monitoring statistics are inevitable problems in industrial process monitoring. A new process detection ...

The four major process variables in instrumentation include: Pressure: This refers to the force exerted per unit area. In a process plant, maintaining accurate pressure is crucial for smooth ...

Pressure and temperature transmitters for monitoring oil and gas process. Source: xmentoys/Adobe Stock Production processes in the oil and gas industry are associated with process variables like ...

This project analyzes the SECOM semiconductor manufacturing dataset to identify process variables associated with manufacturing failures. The dataset is high-dimensional and strongly imbalanced, ...

Based on a systematic review, 19 case studies were selected, focusing on the production of biochar through pyrolysis of five lignocellulosic biomasses (olive husk, beech wood, corncob, spruce wood, ...