With the popularization of the intelligent manufacturing, much attention has been paid in
such intelligent computing methods as deep learning ones for machinery fault diagnosis …

Abstract Nowadays, Internet-of-Things (IoT), big data, and cloud computing technologies
allow increasing the throughput and quality of manufacturing systems, bringing to the rise of …

The quality level in manufacturing processes increasingly concerns manufacturing firms, as
they respond to pressures such as increasing complexity and variety of products, more …

Natural gas consumption forecasting technology has been researched for 70 years. This
paper reviews the history of natural gas consumption forecasting, and discusses the …

This paper presents a new methodology to solve a Closed-Loop Supply Chain (CLSC)
management problem through a decision-making system based on fuzzy logic built on …

Manufacturing quality prediction is one of the significant concerns in modern enterprise
production management, which provides data support for reliability assessment and …

A multistage manufacturing system with multiple manufacturing stages is the key and main
production mode for enterprises to achieve lean production. Due to the variation …

To forecast the future trend of financial activities through its rules, a convolutional neural
network (CNN) is used to forecast stock index. Firstly, a CNN stock index prediction model is …

Surrogate modeling has been popularized as an alternative to full-scale models in complex
engineering processes such as manufacturing and computer-assisted engineering. The …

The increasing interest towards additive manufacturing (AM) is pushing the industry to
provide new solutions to improve process stability. Monitoring is a key tool for this purpose …