With the ongoing digitization of the manufacturing industry and the ability to bring together
data from manufacturing processes and quality measurements, there is enormous potential …

This is a critical review of artificial intelligence/machine learning (AI/ML) methods applied to
battery research. It aims at providing a comprehensive, authoritative, and critical, yet easily …

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 …

To be competitive in dynamic and global markets, manufacturing companies are
continuously seeking to apply innovative production strategies and methods combined with …

Battery production has become an increasingly important issue for industry eg due to the
advent of electric cars and the greening of grids. The battery production chain is very …

The design and development of composite structures requires precise and robust
manufacturing processes. Composite materials such as fiber reinforced thermoplastics …

Purpose This work aims at proposing a novel Internet of Things (IoT)-based and cloud-
assisted monitoring architecture for smart manufacturing systems able to evaluate their …

As one of the most important modes of industrial production, the batch process often
involves complex and continuous physicochemical reactions, making it challenging to …

Demand forecasts are used as input to planning activities and play an important role in the
management of fundamental operations. Accurate demand forecasting is an important …

As a part of prognostics and health management (PHM), fault detection has been used in
many fields to improve the reliability of the system and reduce the manufacturing costs. Due …