Abstract Artificial Intelligence (AI) and Machine Learning (ML) represent popular topics of
Industry 4.0. The use of these techniques, which are evolving rapidly in both academia and …

While the topic of artificial intelligence (AI) in multinational enterprises has been receiving
attention for some time, small and medium enterprises (SMEs) have recently begun to …

In today's market where many companies are competing for the same opportunities, a quick,
accurate, and reliable estimation of the offers' prices is essential for the suppliers. This …

Abstract Context: Rapid advancements in Artificial Intelligence (AI) and Machine Learning
(ML) are revolutionizing software engineering in every application domain, driving …

The shortage of skilled workers is a barrier to applying data analytics. Augmented analytics
is an approach to lower it by using machine learning to automate related activities and …

Abstract Machine learning and deep learning are computational tools that fall within the
domain of artificial intelligence. In recent years, numerous research works have advanced …

In the data-rich but knowledge-poor domain of production management systems, the
utilization of machine learning (ML) for lead-time prediction has gained increasing attention …

Companies must make forecasts for the future to take necessary precautions, as well as to
guard or expand their position and remain competitive. The development of data …

One of the most challenging tasks in Production Planning and Control (PPC) is Lead Time
(LT) prediction. This problem is particularly acute in Small and Medium Enterprises (SMEs) …

In-situ monitoring of Wire Arc Additive Manufacturing (WAAM) is crucial to provide real-time
insights into the process for corrective feedback. Machine Learning (ML) approaches have …