Virtual sensors, or soft sensors, have greatly contributed to the evolution of the sensing
systems in industry. The soft sensors are process models having three fundamental …

Industry 4.0 concept has become a worldwide revolution that has been mainly led by the
manufacturing sector. Continuous Process Industry is part of this global trend where there …

Focusing on reducing the traffic congestion on an oversaturated urban metro system, this
study investigates the collaborative passenger flow control problem for a metro line. By …

For high-performance operations in crude oil refinery processing, it is important to properly
determine yields and properties of output streams from distillation units. To address such …

This study focuses on examining and ascertaining the impact of various elements of industry
4.0, namely the internet of things (IoT) and physical-cyber systems, on the human factors …

Abstract The impacts of Industry 4.0 (I4. 0) on supply chains have garnered increasing
attention, but limited empirical research explores how buyer–supplier relationships (BSRs) …

IMPL is both a structure-and semantic-based machine-coded proprietary software language
(closed-source) built upon the computer programming language Fortran to model and solve …

Spectral AutoML is a platform for fast development of PAT soft sensors that considers the
combined effect of pre-processing, band selection, band-wise resolution definition, hyper …

This study aims to analyse and determine the effect of Big Data, the Internet of Things (IoT),
and physical-cyber system variables on human factors in refinery industry operators and the …

A major operation in petroleum refinery plants, blend scheduling management of stocks and
their mixtures, known as blend-shops, is aimed at feeding process units (such as distillation …