Artificial intelligence-based decision-making algorithms, internet of things sensing networks, and deep learning-assisted smart process management in cyber-physical …
With growing evidence of deep learning-assisted smart process planning, there is an
essential demand for comprehending whether cyber-physical production systems (CPPSs) …
essential demand for comprehending whether cyber-physical production systems (CPPSs) …
An empirical examination of benefits, challenges, and critical success factors of industry 4.0 in manufacturing and service sector
Industry 4.0 marks a new paradigm and has expanded its domain from theoretical concepts
to real-world applications. Industry 4.0 is, however, still in the state of infancy and conceptual …
to real-world applications. Industry 4.0 is, however, still in the state of infancy and conceptual …
Software-defined networking solutions, architecture and controllers for the industrial internet of things: A review
C Urrea, D Benítez - Sensors, 2021 - mdpi.com
The use of Software-Defined Networking (SDN) in the communications of the Industrial
Internet of Things (IIoT) demands more comprehensive solutions than those developed to …
Internet of Things (IIoT) demands more comprehensive solutions than those developed to …
Data-driven manufacturing: An assessment model for data science maturity
Today, data science presents immense opportunities by turning raw data into manufacturing
intelligence in data-driven manufacturing that aims to improve operational efficiency and …
intelligence in data-driven manufacturing that aims to improve operational efficiency and …
Lean manufacturing and internet of things–a synergetic or antagonist relationship?
A Anosike, K Alafropatis, JA Garza-Reyes, A Kumar… - Computers in …, 2021 - Elsevier
This paper explores the relationship between five LM methods (JIT, TPM, Autonomation,
VSM and Kaizen) and three IoT technologies (RFID, WSN and Middleware) and the …
VSM and Kaizen) and three IoT technologies (RFID, WSN and Middleware) and the …
BIM for smart hospital management during COVID-19 Using MCDM
CL Lin, JKC Chen, HH Ho - Sustainability, 2021 - mdpi.com
In context of the recent COVID-19 pandemic, smart hospitals' contributions to pre-medical,
remote diagnosis, and social distancing has been further vetted. Smart hospital …
remote diagnosis, and social distancing has been further vetted. Smart hospital …
[HTML][HTML] Sound-based remote real-time multi-device operational monitoring system using a convolutional neural network (CNN)
Smart factory is the main keyword in the field of manufacturing processes about the fourth
industrial revolution. To realize the smart factory, making all pieces of device into smart …
industrial revolution. To realize the smart factory, making all pieces of device into smart …
[HTML][HTML] The HORSE framework: A reference architecture for cyber-physical systems in hybrid smart manufacturing
Abstract In the Industry 4.0 era, manufacturers strive to remain competitive by using
advanced technologies such as collaborative robots, automated guided vehicles …
advanced technologies such as collaborative robots, automated guided vehicles …
A hybrid MCDM model combining DANP and PROMETHEE II methods for the assessment of cybersecurity in industry 4.0
W Torbacki - Sustainability, 2021 - mdpi.com
IT technologies related to Industry 4.0 facilitate the implementation of the framework for
sustainable manufacturing. At the same time, Industry 4.0 integrates IT processes and …
sustainable manufacturing. At the same time, Industry 4.0 integrates IT processes and …
Industry 4.0 enabling manufacturing competitiveness: Delivery performance improvement based on theory of constraints
TC Kuo, NY Hsu, TY Li, CJ Chao - Journal of Manufacturing Systems, 2021 - Elsevier
Due date control (DDC) can be regarded as one of the competitive abilities of an enterprise.
Based on advanced connected technologies implemented in Industry 4.0, DDC can collect …
Based on advanced connected technologies implemented in Industry 4.0, DDC can collect …