Smart Manufacturing Systems Towards Sustainability and Zero-Defect Manufacturing
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Advanced Manufacturing".
Deadline for manuscript submissions: closed (15 January 2023) | Viewed by 6951
Special Issue Editors
Interests: smart manufacturing; IoT; robotics; manufacturing systems; industry 4.0; operations research; optimization; assembly systems
Special Issues, Collections and Topics in MDPI journals
Interests: applied machine learning; digital manufacturing; spatio-temporal data analysis; part shape error modelling
Interests: zero defect manufacturing; applied artificial intelligence; convolutional neural networks; industrial automation and robotics; simulation-based optimisation; industry 4.0, digital twin
Interests: laser welding; friction stir welding; materials processing; industry 4.0; process monitoring; digital manufacturing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The recent targets on carbon emission reductions have seen manufacturers and researchers around the globe explore and implement various technologies and solutions to i) reduce their direct energy consumption and wastage, and ii) reduce the indirect energy lost as scrap and rework. In order to achieve these targets, it is important that manufacturing industries gear towards Sustainable Smart Manufacturing, wherein Industry 4.0 technologies such as Artificial Intelligence, Digital Twins, and Big Data Analytics are harnessed to achieve sustainability.
This Special Issue aims to address the challenges and opportunities in utilising these Industry 4.0 technologies to enable Sustainable Smart Manufacturing. Novel ideas associated with waste reduction, energy consumption monitoring, defect prevention and detection, and improving material efficiency coupled with advancements in digitalisation, big data analytics and Internet of Things can help realise the transition towards a smarter, cleaner production system. Embedding intelligence into digital models enables the monitoring of equipment and schedule their maintenance, detect wear and tear, and even allows making autonomous decisions. This Special Issue will be a synthesis of innovative strategies, trends, and state-of-the art technologies in the domain of condition monitoring, zero-defect manufacturing, artificial intelligence, and digital manufacturing that drive the transformation towards sustainable manufacturing.
Topics of interest include, but are not limited to:
- Sustainable Industry 4.0;
- Energy monitoring and energy big data;
- Data analytics and data-driven approaches for sustainable manufacturing;
- Digital twin and simulation for energy analysis;
- Zero-defect manufacturing;
- Right first-time approach;
- Machine learning for defect detection;
- Preventive maintenance and condition monitoring;
- Big data analytics, process mining and data mining;
- Applied artificial intelligence and expert systems;
- Cloud manufacturing and cybersecurity in smart manufacturing;
- Green manufacturing (waste management, resources saving, energy efficiency);
- Circular economy and its implications on manufacturing;
- Sustainable materials;
- Eco-design of smart manufacturing systems; and
- Advanced material and lightweight manufacturing.
Dr. Bugra Alkan
Dr. Manoj Babu
Dr. Malarvizhi Kaniappan Chinnathai
Dr. Tianzhu Sun
Guest Editors
Manuscript Submission Information
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Keywords
- smart manufacturing
- Industry 4.0
- sustainable manufacturing
- zero defect manufacturing
- digital manufacturing
- cyber-physical systems
- energy efficiency
- applied machine learning
- big data analytics
- smart factory
- predictive maintenance
- green manufacturing
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