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Special Issue on Industry 4.0 and Smart Manufacturing

Aims and Scope
The phrase "Industry 4.0" was originally related with the computerization of production and the description of the skills that the new workforce needed to obtain in order to compete for high-paying employment. Today, many developments, including the internet of things (IoT), digital manufacturing, and cyber-physical systems, are seen as critical components in the conceptualization and implementation of Industry 4.0. At the heart of this movement are technological breakthroughs in the capacity to gather, transport, and analyze massive volumes of data in real time. Smart manufacturing, which is closely connected, is a concept that strives to construct smart factories that incorporate these new technologies in order to fast adapt and react to changes in market demand for high-quality goods. Smart factories, in reality, are at the heart of both Industry 4.0 and smart manufacturing.
This special issue aims to offer a venue for academics to present their results and investigate new technologies in the design and implementation of smart factories. This special issue invites original research papers and/or reviews.
 
Topics of Interest
Topics of interest include, but are not limited to: 
•  Innovative sensing strategies for process monitoring and tracking of product history
•  Machine learning techniques to improve process control and part quality
•  Smart tooling and in-line part inspection
•  Integration of additive manufacturing in smart factories
•  Smart modeling of factory floors and manufacturing processes integrated with sensor data
•  Manufacturing data analysis and diagnostics for real-time reporting using intranet capabilities and/or the cloud
•  Case studies in the design and deployment of networked-distributed digital manufacturing paradigms
•  New human machine interface and communication technologies
•  Cyberphysical systems for the design and operation of smart manufacturing facilities
•  Use of cloud, distributed and digital manufacturing paradigms in cyberphysical systems
•  Material machining process simulation with dynamics
•  Efficiency analysis for manufacturing systems
•  Digital manufacturing for sculptured surfaces
•  Collaboration in digital manufacturing
•  Mathematical methods in digital material machining and process quality control
•  Artificial intelligence for predictive maintenance
•  Production scheduling with reinforcement learning
•  Artificial intelligence and robotics in smart manufacturing
•  IoT-enabled smart manufacturing

Important Dates
Submission Deadline: 05th November 2021
Review Results (deadline): 30th December  2021
Deadline for Revision: 30th January 2022
Notification of Final Decision: 28th February 2022
Publication Date: March Issue or May Issue, 2022
 
Guest Editors
1. Dr. Sathishkumar Karupusamy, Senior Lecturer, Faculty of Basic and Applied Science, University of Africa, Nigeria. Email: sathishmscgasc@gmail.com
2. Dr. M. Ramalingam, Assistant Professor, Gobi Arts & Science College, TN, India. Email: ramsgobi@gmail.com

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