One of the most suitable methods for the mass production of complicated shapes is injection
molding due to its superior production rate and quality. The key to producing higher quality …

With the development and evolution of information technology, competition has become
more and more intensive on a global scale. Many companies have forecast that the future of …

In the last few decades, the influence of machine learning has permeated many areas of
science and technology, including the field of materials science. This toolkit of data driven …

Digital twins, along with the internet of things (IoT), data mining, and machine learning
technologies, offer great potential in the transformation of today's manufacturing paradigm …

Manufacturing quality control (QC) in plastic injection moulding is of the upmost importance
since almost one third of plastic products are manufactured via the injection moulding …

Industry 4.0 (I4. 0) is accompanied by a variety of technologies which offer great potential for
optimizing the manufacturing of electric motors. However, the application of I4. 0 …

This study addresses some issues regarding the problems of applying CAE to the injection
molding production process where quite complex factors inhibit its effective utilization. In this …

Recent advancements in instrumentation and the emergence of industrial IoT solutions have
created new possibilities to collect data in injection molding processes. Although many …

The integration of AI-powered analytics offers transformative potential in optimizing supply
chains within the manufacturing sector. This study adopts a qualitative, case study …

The plastic sector is considered one of the most dynamic industries with the highest
competitive projection in the country. The incidence of this sector in the national and …