Internet of Things (IoT) for Industry 4.0
A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: closed (5 July 2022) | Viewed by 17035
Special Issue Editors
Interests: internet of things; cyber physical systems; semantic web; multi criteria decision making (MCDM); context-awareness
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The fourth industrial revolution (also referred to as Industry 4.0) is transforming the economic paradigm and the mechanisms for creating value that underpin it. Industry has, in effect, switched from a mindset of mass production to one of mass customization, as it is no longer based on scale and volume effects but rather “on demand”. Thanks to the advent of the Internet of Things (IoT) used in industrial environments, an increasingly amount of data is now available. In that context, five main drivers are leading this paradigm shift:
- Virtual factories: to enable new products to be industrialized virtually before disrupting the physical system and offer managers a new way of overseeing operations and intervening in them;
- Automated flows: to make the whole system more flexible and responsive, cutting inventory levels and throughput;
- Smart machines: to reduce operator interventions by enabling machines to operate both separately from and in connection with each other;
- Predictive maintenance and decision support systems: to enable improved planning of machine downtime;
- Cyber-production systems: to enable mass customization and the readjustment of production planning in line with demand variations.
Several research issues remain to be addressed regarding each of these drivers. This MDPI Future Internet Special Issue is currently open for submission and aims to bring together researchers and application developers working out research issues, strategies, and methodologies in these different areas. We also welcome quality review articles that analyze the gap between the state-of-the-art and the state-of-the-practice in the above areas. Potential topics include but are not limited to:
- Interoperability in data collection;
- Cloud manufacturing;
- Green and sustainable manufacturing;
- Big data analytics for manufacturing applications;
- Machine learning for enhanced process control and quality;
- Predictive manufacturing and maintenance;
- Blockchain and smart contracts for industrial and manufacturing purposes;
- Physical internet.
Dr. Sylvain Kubler
Dr. Jérémy Robert
Guest Editors
Manuscript Submission Information
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