scholarly journals Special issue: Best in China–Smart manufacturing

Author(s):  
Yingguang Li ◽  
Changqing Liu ◽  
James Gao
2019 ◽  
Vol 13 (5) ◽  
pp. 573-573 ◽  
Author(s):  
Yohichi Nakao ◽  
Hayato Yoshioka

With the 2011 launch of Industrie 4.0, a German project aiming to promote the computerization of manufacturing, the integration of physical or actual manufacturing systems with cyber-physical systems (CPS) using various technologies, such as the Internet of things (IoT), industrial Internet of things (IIOT), and artificial intelligence, is considered to be more important than ever before. One of the goals of the Industrie 4.0 is to realize smart factories or smart manufacturing using advanced digital technologies. However, the core component in the manufacturing systems is still machine tools. This special issue, composed of eleven excellent research papers, focuses on the latest research advances in machine tools and manufacturing processes. It covers various topics, including machine tool control, tool path generation for multi-axis machining, and machine tool components. Furthermore, this special issue includes innovative machining technologies, including not only cutting and grinding processes but also the EDM process and burnishing process connected effectively with force control techniques. All the research contributions were presented at IMEC2018, a joint event with JIMTOF2018, held in Tokyo, Japan in 2018. The editors would like to sincerely thank the authors for their dedication and for their well written and illustrated manuscripts. We are also profoundly grateful for the efforts of all the reviewers who ensured their quality. Finally, we sincerely hope that studies on machine tools and related manufacturing technologies will further contribute to the development of our global society.


2021 ◽  
pp. 1-4
Author(s):  
Janet K. Allen ◽  
Sesh Commuri ◽  
Jianxin Jiao ◽  
Jelena Milisavljevic-Syed ◽  
Farrokh Mistree ◽  
...  

Abstract This special issue is motivated by the trend of smart factories of the future towards the fourth Industrial Revolution, which makes it possible to better leverage capabilities and resources in a human-cyber-physical production environment. This emerging paradigm of Industry 4.0 poses new systems design problems at the interface of smart manufacturing, robust and flexible automation, distributed and reconfigurable production systems industrial IoT, and supply chain integration. Recent advances of design engineering in the age of Industry 4.0 are presented in this special issue. More than forty (40) papers were received and peer-reviewed, out of which thirteen (13) papers were selected for publication. These are both theoretical and practical, as well as state-of-the-art reviews, new perspectives, and outlook for future research directions in the field. The papers span a range of design aspects and Industry 4.0 technologies. There are three intersecting clusters in this category: design principles and techniques for Industry 4.0, smart manufacturing technologies, and machine learning and data-driven techniques for Industry 4.0.


2017 ◽  
Vol 11 (1) ◽  
pp. 3-3 ◽  
Author(s):  
Hironori Hibino ◽  
◽  
Masaru Nakano

Industry 4.0, a new industry initiative in Germany, is impacting strongly both on industry and on society. Many newspapers and technical magazines are publishing the state of the art articles on topics such as smart manufacturing based on IoT (Internet of Things), CPPS (Cyber Physical Production System), and cloud-based systems. Other parts of the world have started initiatives such as the IIC (Industrial Internet Consortium) in the US and the IVI (Industrial Value Chain Initiative) in Japan. Smart manufacturing is the key concept underlying these new initiatives. This special issue addresses the most advanced research on smart manufacturing. Subjects cover cyber-physical product-service systems, machinery production lines, manufacturing system simulation, lot-size energy-consumption dependence per production throughput unit, additive manufacturing processes, sensor network technology, production management technology, supply chain management technology, and smart manufacturing reviews. We thank the authors for their careful work and the reviewers for their incisive efforts without which this special issue would not have been possible. We hope that this special issue will trigger further research on smart manufacturing and its advances.


2020 ◽  
Vol 14 (5) ◽  
pp. 677-677
Author(s):  
Toshiya Kaihara ◽  
Nariaki Nishino

With the recent development of new technologies such as the Internet of Things (IoT), Cyber-Physical Systems (CPS), and cloud-based systems, the smart manufacturing concept based on ICT or AI is expected to have tremendous potential to realize a digital transformation with customer involvement in production. The role of production will need to change accordingly, as it is obvious that the traditional business model based on process chains for production functionality has limitations for further growth. In production, it is necessary to consider value chains with service factors for adding innovative value to products. Value creation is an important concept to the realization of a sustainable ecosystem in production. This special issue addresses the latest research on value creation in production and service systems. Including ten advanced research papers and one development report, it covers a wide range of topics, including smart factories, logistics, distribution with value chains; product service systems; sustainable ecosystems with value in production and service industries; the sharing economy in production systems with cloud computing; the application of digital transformations in production and service systems. All papers and reports were refereed through careful peer reviews with experts. The editors deeply appreciate the authors for their careful work and the reviewers for their invaluable efforts, without which this special issue would not have been possible. Finally, we hope this special issue provides valuable information to our interested readers and encourages further research on value creation in production.


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