A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives
With the recent developments in robotic process automation (RPA) and artificial intelligence
(AI), academics and industrial practitioners are now pursuing robust and adaptive decision …
(AI), academics and industrial practitioners are now pursuing robust and adaptive decision …
Design and application of Internet of things-based warehouse management system for smart logistics
Warehouse operations need to change due to the increasing complexity and variety of
customer orders. The demand for real-time data and contextual information is requried …
customer orders. The demand for real-time data and contextual information is requried …
The self-thinking supply chain
Purpose An emerging theme in the practitioner literature suggests that the supply chain of
the future–enabled especially by developments in ICT–will be autonomous and have …
the future–enabled especially by developments in ICT–will be autonomous and have …
Net zero supply chain performance and industry 4.0 technologies: Past review and present introspective analysis for future research directions
Interest in applying Industry 4.0 technologies in supply chain operations has increased
significantly due to the urgent need to combat climate change and achieve net-zero …
significantly due to the urgent need to combat climate change and achieve net-zero …
Smart robotic mobile fulfillment system with dynamic conflict-free strategies considering cyber-physical integration
Smart mobile robots are deployed to the warehouse environments to improve the efficiency,
because of its characteristics of high automation and flexibility characteristics. However, the …
because of its characteristics of high automation and flexibility characteristics. However, the …
Development of an industrial Internet of things suite for smart factory towards re-industrialization
Re-industrialization, which supports industrial upgrading and transformation, promotes
smart production and high value-added manufacturing processes, and helps to create new …
smart production and high value-added manufacturing processes, and helps to create new …
A sequential cross-product knowledge accumulation, extraction and transfer framework for machine learning-based production process modelling
Machine learning is a promising method to model production processes and predict product
quality. It is challenging to accurately model complex systems due to data scarcity, as mass …
quality. It is challenging to accurately model complex systems due to data scarcity, as mass …
Integrated Digital Delivery: Implementation status and project performance in the Singapore construction industry
Abstract Integrated Digital Delivery (IDD) was launched to transform the approach to
construction through the implementation of digital technologies. Whilst technologies have …
construction through the implementation of digital technologies. Whilst technologies have …
Integration of artificial intelligence into biogas plant operation
In the biogas plants, organic material is converted to biogas under anaerobic conditions
through physical and biochemical processes. From supply of the raw material to the arrival …
through physical and biochemical processes. From supply of the raw material to the arrival …
[HTML][HTML] Real-time anomaly detection on time series of industrial furnaces: A comparison of autoencoder architectures
Anomaly detection in industrial environments aims at detecting anomalies in the monitoring
data of industrial machinery or equipment, as soon as possible, preferably presenting real …
data of industrial machinery or equipment, as soon as possible, preferably presenting real …