Manufacturing organizations need to use different kinds of techniques and tools in order to
fulfill their foundation goals. In this aspect, using machine learning (ML) and data mining …

In the modern era, welding systems have been made smart with the inclusion of
contemporary information technologies such as intelligent manufacturing and machine …

The supply of defect-free, high-quality products is an important success factor for the long-
term competitiveness of manufacturing companies. Despite the increasing challenges of …

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 …

The lithium-ion battery (LiB) is a prominent energy storage technology playing an important
role in the future of e-mobility and the transformation of the energy sector. However, LiB cell …

One of the key challenges in manufacturing processes is improving the accuracy of quality
monitoring and prediction. This paper proposes a generative neural network model for …

Manufacturing and production processes have become more complicated and usually
consist of multiple stages to meet customers' requirements. This poses big challenges for …

The rising popularity of smart factories and Industry 4.0 has made it possible to collect large
amounts of data from production stages. Thus, supervised machine learning methods such …

Manufacturing companies are exposed to increased complexity and competition. To stay
competitive, companies need to minimize the total cost of quality while ensuring high …

For manufacturing enterprises, product quality is a key factor to assess production capability
and increase their core competence. To reduce external failure cost, many research and …