Traditional Manufacturing
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2021 ◽  
Vol 13 (22) ◽  
pp. 12521
Author(s):  
Shan Wu ◽  
Jinlong Zhang

The innovation capability of enterprises is reflected in whether their products and services can meet the needs of customers and adapt to the market. After analyzing the main differences between traditional manufacturing enterprises and intelligent manufacturing enterprises, it is proposed that intelligent manufacturing enterprises share the main characteristics of digitization, automation, platformization and flat manufacturing. Based on the theory of “ambidextrous innovation”, this paper analyzes the mechanism of the innovation capability of intelligent manufacturing enterprises and notes that informatization and intellectualization are the driving forces between the innovation capability of enterprises. In addition, a “dual drive” and “ambidextrous innovation” have a direct effect on manufacturing and management, promoting products and services and comprehensively improving the quality of such products and services to enhance the core competitiveness of intelligent manufacturing enterprises. A compound dual innovation capability model for intelligent manufacturing enterprises is constructed, and the evaluation indices of the model are provided for reference. The present work provides research focuses and a theoretical framework for follow-up research on the innovation capability of intelligent manufacturing enterprises to promote the innovation and development of intelligent manufacturing enterprises.


Author(s):  
Sung Wook Kim ◽  
Jun Ho Kong ◽  
Sang Won Lee ◽  
Seungchul Lee

AbstractThe recent advances in artificial intelligence have already begun to penetrate our daily lives. Even though the development is still in its infancy, it has been shown that it can outperform human beings even in terms of intelligence (e.g., AlphaGo by DeepMind), implying a massive potential for its broader application in various industrial sectors. In particular, the growing public interest in industry 4.0, which focuses on revolutionizing the traditional manufacturing scene, has stimulated a deeper investigation of its possible applications in the related industries. Since it has several limitations that hinder its direct usage, research on the convergence of artificial intelligence with other engineering fields, including precision engineering and manufacturing, is ongoing. This overview looks to summarize some of the important achievements made using artificial intelligence in some of the most influential and lucrative manufacturing industries in hopes of transforming the manufacturing sites.


2021 ◽  
Vol 11 (5) ◽  
pp. 149-156
Author(s):  
Drumil Newaskar ◽  
Shubham Gandhi ◽  
Preet Aligave

Additive manufacturing is a revolutionary technology because of its ability to creates objects by adding material layer by layer rather than removing material from a block or by moulding procedure. Additive manufacturing has been around for more than three decades but still, traditional manufacturing is the dominant method for manufacturing. COVID-19 pandemic has been a torment globally and has brought distress and instability to the global economy. Due to this, the manufacturing sectors are badly affected. In this time of crisis, additive manufacturing has played a major role. This paper discusses the upsurge of Additive manufacturing due global COVID-19 pandemic and its worldwide impact on supply chain management.


2021 ◽  
Vol 11 (21) ◽  
pp. 9980
Author(s):  
Giulio Salierno ◽  
Letizia Leonardi ◽  
Giacomo Cabri

The technological advancements promote the rise of the fourth industrial revolution, where key terms are efficiency, innovation, and enterprises’ digitalization. Market globalization, product mass customization, and more complex products need to reflect on changing the actual design methods and developing business processes and methodologies that have to be data-driven, AI-assisted, smart, and service-oriented. Therefore, there is a great interest in experimenting with emerging technologies and evaluating how they impact the actual business processes. This paper reports a comparison among the major trends in the digitalization of a Factory of the Future, in conjunction with the two major strategic programs of Industry 4.0 and China 2025. We have focused on these two programs because we have had experience with them in the context of the FIRST H2020 project. European industrialists identify the radical change in the traditional manufacturing production process as the rise of Industry 4.0. Conversely, China mainland launched its strategic plan in China 2025 to promote smart manufacturing to digitalize traditional manufacturing processes. The main contribution of this review paper is to report about a study, conducted and part of the aforementioned FIRST project, which aimed to investigate major trends in applying for both programs in terms of technologies and their applications for the factory’s digitalization. In particular, our analysis consists of the comparison between Digital Factory, Virtual Factory, Smart Manufacturing, and Cloud Manufacturing. We analyzed their essential characteristics, the operational boundaries, the employed technologies, and the interoperability offered at each factory level for each paradigm. Based on this analysis, we report the building blocks in terms of essential technologies required to develop the next generation of a factory of the future, as well as some of the interoperability challenges at a different scale, for enabling inter-factories communications between heterogeneous entities.


Technologies ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 77
Author(s):  
Mokesioluwa Fanoro ◽  
Mladen Božanić ◽  
Saurabh Sinha

Over the last decade, manufacturing processes have undergone significant change. Most factory activities have been transformed through a set of features built into a smart manufacturing framework. The tools brought to bear by the fourth industrial revolution are critical enablers of such change and progress. This review article describes the series of industrial revolutions and explores traditional manufacturing before presenting various enabling technologies. Insights are offered regarding traditional manufacturing lines where some enabling technologies have been included. The manufacturing supply chain is envisaged as enhancing the enabling technologies of Industry 4.0 through their integration. A systematic literature review is undertaken to evaluate each enabling technology and the manufacturing supply chain and to provide some theoretical synthesis. Similarly, obstacles are listed that must be overcome before a complete shift to smart manufacturing is possible. A brief discussion maps out how the fourth industrial revolution has led to novel manufacturing technologies. Likewise, a review of the fifth industrial revolution is given, and the justification for this development is presented.


Materials ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 6261
Author(s):  
Tuhin Mukherjee

Additive manufacturing, commonly known as three-dimensional printing (3D printing), is becoming an increasingly popular method for making components that are difficult to fabricate using traditional manufacturing processes [...]


Polymers ◽  
2021 ◽  
Vol 13 (16) ◽  
pp. 2734
Author(s):  
Bin Luo ◽  
Yiding Zhong ◽  
Hualing Chen ◽  
Zicai Zhu ◽  
Yanjie Wang

Electroactive PVC gel is a new artificial muscle material with good performance that can mimic the movement of biological muscle in an electric field. However, traditional manufacturing methods, such as casting, prevent the broad application of this promising material because they cannot achieve the integration of the PVC gel electrode and core layer, and at the same time, it is difficult to create complex and diverse structures. In this study, a multi-material, integrated direct writing method is proposed to fabricate corrugated PVC gel artificial muscle. Inks with suitable rheological properties were developed for printing four functional layers, including core layers, electrode layers, sacrificial layers, and insulating layers, with different characteristics. The curing conditions of the printed CNT/SMP inks under different applied conditions were also discussed. The structural parameters were optimized to improve the actuating performance of the PVC gel artificial muscle. The corrugated PVC gel with a span of 1.6 mm had the best actuating performance. Finally, we printed three layers of corrugated PVC gel artificial muscle with good actuating performance. The proposed method can help to solve the inherent shortcomings of traditional manufacturing methods of PVC gel actuators. The printed structures have potential applications in many fields, such as soft robotics and flexible electronic devices.


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