Deep learning-assisted smart process planning, robotic wireless sensor networks, and geospatial big data management algorithms in the internet of manufacturing …
The purpose of our systematic review is to examine the recently published literature on the
Internet of Manufacturing Things (IoMT), and integrate the insights it configures on deep …
Internet of Manufacturing Things (IoMT), and integrate the insights it configures on deep …
[HTML][HTML] Envisioning maintenance 5.0: Insights from a systematic literature review of Industry 4.0 and a proposed framework
To provide direction and advice for future research on Industry 4.0 maintenance, we
conducted a comprehensive analysis of 344 eligible journal papers published between …
conducted a comprehensive analysis of 344 eligible journal papers published between …
[HTML][HTML] Digital twin and big data-driven sustainable smart manufacturing based on information management systems for energy-intensive industries
Abstract Internet of Things (IoT) technology, which has made manufacturing processes more
smart, efficient and sustainable, has received increasing attention from the industry and …
smart, efficient and sustainable, has received increasing attention from the industry and …
A knowledge graph-based data representation approach for IIoT-enabled cognitive manufacturing
Abstract The Industrial Internet of Things (IIoT) interconnects a large number of
interconnected sensors, actuators, and edge computing devices in the manufacturing …
interconnected sensors, actuators, and edge computing devices in the manufacturing …
Data-driven cleaner production strategy for energy-intensive manufacturing industries: Case studies from Southern and Northern China
Cleaner production is an effective strategy for improving material utilization, reducing energy
consumption, maximizing product output, and minimizing emissions during the entire …
consumption, maximizing product output, and minimizing emissions during the entire …
Digital twin implementation for performance improvement in process industries-A case study of food processing company
In recent years, the emerging Digital Twin (DT) paradigm under Industry 4.0 has been
attracting more attention from both practitioners and academia due to its dynamic …
attracting more attention from both practitioners and academia due to its dynamic …
Evolutionary game-based incentive models for sustainable trust enhancement in a blockchained shared manufacturing network
F Zhang, L Wu, W Liu, K Ding, J Hui, J Leng… - Advanced Engineering …, 2022 - Elsevier
Shared manufacturing (SM) is an advanced manufacturing mode to solve the problems of
information asymmetry and resource imbalance in the complex supply and demand …
information asymmetry and resource imbalance in the complex supply and demand …
A multi-hierarchical aggregation-based graph convolutional network for industrial knowledge graph embedding towards cognitive intelligent manufacturing
The rapid development and widespread applications of cognitive computing technologies
have led to a paradigm shift towards cognitive intelligent development in manufacturing …
have led to a paradigm shift towards cognitive intelligent development in manufacturing …
A critical review of selective maintenance for mission-oriented systems: challenges and a roadmap for novel contributions
The selective maintenance problem (SMP) arises in many mission-oriented multi-
component systems that are operated for consecutive missions interspersed with finite …
component systems that are operated for consecutive missions interspersed with finite …
Editorial notes: Industrial Internet-of-Things (IIoT)-enabled digital servitisation
The rapid implementation of the third wave of IT innovation (eg smart, connected products,
Internet-of-Things (IoT)) and the fourth Industrial Revolution (eg advanced operation …
Internet-of-Things (IoT)) and the fourth Industrial Revolution (eg advanced operation …