What are the current challenges and future potentials of sustainable cybernetic manufacturing?
How will the theoretical and experimental advances in sustainable cybernetic manufacturing affect production?
Cybernetic manufacturing aims for flexible and adaptive manufacturing operations locally or globally by using integrated technologies that can combine the advanced computing power with manufacturing equipment.
In recent years, research on Cyber-Physical Systems (CPS), Internet of Things (IoT), and Big Data have been active in such areas like transportation, smart home, robotic surgery, aviation, defence, critical infrastructure, etc.
The advancements in CPS, IoT, and Big Data also positively affected manufacturing in form of Cyber-Physical Production Systems, Industrial Internet of Things, and Big Manufacturing Data Analytics. The ambition is to largely enhance manufacturing automation and control through machine-embedded intelligence.
Moreover, the advancements in Web-, Internet-, and Cloud-based systems and applications have opened the possibility for industries to utilise the cyber workspace to conduct efficient and effective daily operations from anywhere around the clock, e.g. in cloud manufacturing environments.
On the other hand, manufacturing sustainability and related directives have become unavoidable issues that future factories must address. Research works, particularly in the context of Industry 4.0 and Industrial Internet, are emerging. Altogether they contribute to the realisation of Sustainable Cybernetic Manufacturing.
It leads to the need of publishing a collection of research papers in this promising area, as a Special Issue of the International Journal of Production Research and you can contribute.
What can I contribute?
Papers are invited dealing with theoretical and experimental advances in this area, particularly addressing current challenges and future potentials. Relevant topics include but are not limited to the following:
- Remote monitoring and control in cyber workspace
- Cloud platform and architecture design
- Service-oriented process planning and scheduling
- Cloud-enabled CPS in production planning, control and execution
- Real-time sensing, diagnosis and prognosis for distant maintenance
- Big data analytics for manufacturing planning and control
- Cloud robotics in manufacturing
- Industry 4.0 and Industrial Internet
- Industrial Internet of Things and applications
- Digital Twins for industry digitisation
- Machine learning in cybernetic manufacturing
- Energy efficiency and sustainability in cybernetic manufacturing
- Case studies and industrial applications
Have you thought about publishing open access? To find out how our high quality, rigorously peer-reviewed open access option could help you and your research click here.
How can I contribute?
If you would like to contribute to our special issue, click here to see our instruction for authors page.
If you have any further questions, feel free to contact one of the editorial team below.
- Principal Guest Editor : Lihui Wang, KTH Royal Institute of Technology, Brinellvägen 68, 10044 Stockholm, Sweden (firstname.lastname@example.org )
- Co-Editor: Xun Xu, Department of Mechanical Engineering, University of Auckland (email@example.com)
- Co-Editor: Robert Gao, Case School of Engineering, Case Western Reserve University (firstname.lastname@example.org)
- Co-Editor: Andrew Nee, Department of Mechanical Engineering, National University of Singapore (email@example.com)