Digital transformation and Industry 4.0 pose challenges for all industries. Small and medium-
sized enterprises (SMEs) are particularly affected due to cost pressure and the shortage of …

The objective of this paper is to go a step further introducing the concept of Industry 4.0 (I4.
0) using Axiomatic Design as a research methodology. The rationale for this work is to …

Purpose–Since the data model plays an important role in designing manufacturing
execution system (MES) database, this paper seeks to provide a generic and adaptable data …

Purpose–The purpose of this paper is to investigate the data profile of manufacturing small
and medium enterprises (SMEs) with specific emphasis on understanding the data …

In the rapidly advancing fields of Artificial Intelligence (AI) and Big Data, creating a robust
and high-quality data foundation is a critical requirement for data-driven projects. However …

Companies of the manufacturing industry face increasing process complexity. To remain
competitive, increasing the knowledge concerning innovative manufacturing processes is …

Production companies are increasingly required to flexibly adapt to competitive situations
and, hence, aim to ensure that their production processes have optimal outcome. This …

Abstract Machine learning (ML) is increasingly used to enhance production systems and
meet the requirements of a rapidly evolving manufacturing environment. Compared to larger …

Today, data science presents immense opportunities by turning raw data into manufacturing
intelligence in data-driven manufacturing that aims to improve operational efficiency and …

The industrial manufacturing sector has substantially evolved over the past decade, with the
collect and analyze of sensors and apparatus data. The manufacturing processes" …