The integration of robotics and the internet of things (IoT) has emerged as a crucial aspect in
the development of smart factory infrastructure within the context of Industry 4.0. This chapter …

At present, smart manufacturing computing framework has faced many challenges such as
the lack of an effective framework of fusing computing historical heritages and resource …

The world population currently stands at about 7 billion amidst an expected increase in 2030
from 9.4 billion to around 10 billion in 2050. This burgeoning population has continued to …

Digitized production technologies in terms of 'Industry 4.0'appear to herald the future of
industrial development especially in mature economies, such as Germany. It is expected that …

The core concept of Industry 4.0 is to integrate advanced information technologies,
especially emerging technologies, such as the Internet of Things, 5G & 6G, data analytics …

The Industry 4.0 era has resulted in several opportunities and challenges for the
manufacturing industry and for small and medium-sized enterprises (SME); technologies …

Purpose This study aims to investigate how early and late adopters of Quality 4.0 (Q4. 0)
differ in terms of organizational performance. Design/methodology/approach The authors …

Abstract Nowadays, Internet-of-Things (IoT), big data, and cloud computing technologies
allow increasing the throughput and quality of manufacturing systems, bringing to the rise of …

In the era of the Fourth Industrial Revolution, there is a growing focus on digital twin (DT) in
order to advance toward smart manufacturing. Thus, researchers have conducted numerous …

The paper outlines key characteristics of smart manufacturing, data-driven, networked,
connected, resource sharing, resilient, and sustainable. Manufacturing resiliency and …