Internet of things and supply chain management: a literature review
This paper explores the role of Internet of Things (IoT) and its impact on supply chain
management (SCM) through an extensive literature review. Important aspects of IoT in SCM …
management (SCM) through an extensive literature review. Important aspects of IoT in SCM …
[HTML][HTML] Application of automation for in-line quality inspection, a zero-defect manufacturing approach
Contemporary manufacturing must prioritise the sustainability of its manufacturing processes
and systems. Zero Defect Manufacturing (ZDM) focusses on minimising waste of any kind …
and systems. Zero Defect Manufacturing (ZDM) focusses on minimising waste of any kind …
Big data analytics challenges to implementing the intelligent Industrial Internet of Things (IIoT) systems in sustainable manufacturing operations
Q Qi, Z Xu, P Rani - Technological Forecasting and Social Change, 2023 - Elsevier
The overlap of the growth of big data with that of the Internet of Things (IoT) is well reflected
by the dramatic surge in the use of devices connected to IoT and the exponential rise in data …
by the dramatic surge in the use of devices connected to IoT and the exponential rise in data …
The role of big data analytics in industrial Internet of Things
Big data production in industrial Internet of Things (IIoT) is evident due to the massive
deployment of sensors and Internet of Things (IoT) devices. However, big data processing is …
deployment of sensors and Internet of Things (IoT) devices. However, big data processing is …
A review of essential standards and patent landscapes for the Internet of Things: A key enabler for Industry 4.0
This paper is a formal overview of standards and patents for Internet of Things (IoT) as a key
enabler for the next generation advanced manufacturing, referred as Industry 4.0 (I 4.0). IoT …
enabler for the next generation advanced manufacturing, referred as Industry 4.0 (I 4.0). IoT …
Intelligent machine vision model for defective product inspection based on machine learning
Quality control is one of the industrial tasks most susceptible to be improved by
implementing technological innovations. As an innovative technology, machine vision …
implementing technological innovations. As an innovative technology, machine vision …
Big data challenges and opportunities in the hype of Industry 4.0
The world of industrial automation technology is at the outset of a new era of innovation with
the hype of Industry 4.0. Global modern industrial system converges the power of machines …
the hype of Industry 4.0. Global modern industrial system converges the power of machines …
Virtual metrology as an approach for product quality estimation in Industry 4.0: a systematic review and integrative conceptual framework
Virtual metrology (VM) involves estimating a product's quality directly from production
process data without physically measuring it. This enables the product quality of each unit of …
process data without physically measuring it. This enables the product quality of each unit of …
A novel implementation framework of digital twins for intelligent manufacturing based on container technology and cloud manufacturing services
Many core technologies of Industry 4.0 have gained substantial advancement in recent
years. Digital Twin (DT) has become the key technology and tool for manufacturing …
years. Digital Twin (DT) has become the key technology and tool for manufacturing …
Readiness of subtractive and additive manufacturing and their sustainable amalgamation from the perspective of Industry 4.0: A comprehensive review
The successful realization of Industry 4.0 depends much on how coherently the cyber and
physical realms are conjoined in cyber-physical systems. In the context of the fourth …
physical realms are conjoined in cyber-physical systems. In the context of the fourth …