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 …

Manufacturing is continuously evolving from concept development to methods and tools
available for the production of goods for use or sale. Traditionally, manufacturing refers to an …

Many quality improvement (QI) programs including six sigma, design for six sigma, and
kaizen require collection and analysis of data to solve quality problems. Due to advances in …

Production chain of lithium‐ion battery cells is a highly complicated system with manifold
process–product interdependencies and high sensitivity to ambient conditions. This …

The paper contains a review of methodologies of a process of knowledge discovery from
data and methods of data exploration (Data Mining), which are the most frequently used in …

Manufacturing companies gather a vast amount of data in order to track production,
assembly and logistical processes. Among others, these data are used for updating …

The progressive application of Information and Communication Technologies to industrial
processes has increased the amount of data gathered by manufacturing companies during …

The expertise of the scheduler plays an important role in creating production schedules, and
the schedules created in the past thus provide important information about how they should …

In many modern manufacturing industries, data that characterize the manufacturing process
are electronically collected and stored in databases. Due to advances in data collection …

Machine learning approaches may support various use cases in the manufacturing industry.
However, these approaches often do not address the inherent characteristics of the real …