scholarly journals Recent Advances of Artificial Intelligence in Manufacturing Industrial Sectors: A Review

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.

2019 ◽  
Vol 37 (1) ◽  
pp. 1-5 ◽  
Author(s):  
Abid Hussain

Purpose Industry 4.0 is a term for the so-called Fourth Industrial revolutions. It is the technological integration of cyber-physical systems (CPS) in the process of production. CPS enables internet-based process networking with all participants in the process of value creation. The industrial revolution is actually changing how we live, work and communicate. Many trades have highly been affected by 4IR, libraries are one of them. The libraries of twenty-first century are shifting their paradigms from traditional setup to modern information networking. As people and machines are connecting to each other at enormous speed, artificial intelligence, mobile computing, machine learning and automation of every trade have become a need of the day. Automation and artificial intelligence are change agents in 4IR that will make certain groups of employees redundant, replacing them with new workers with the needed skills or with machines that do the job cheaper. This paper aims to shed light on how the 4IR will “shape the future of education, gender, work and library services”. The purpose of this paper is to highlight the challenges being faced by the library and librarians in the age of Industrial 4.0 revolution in contemporary society. The purpose of this study is to review the past literature on Industrial Revolutions 4.0 in education and interlink them with Library services. Design/methodology/approach The current study performs a systematic and content-centric review of literature relevant to library services. The literature of this study is based on a six-stage approach to identify the design principles and technology trends of 4IR in education and Library services. Findings Industry 4.0 Revolution is the current trend of revolutionary technology, which has affected many services in this age of globalization. Similar, Library services have highly been affected by 4IR. An effort has been made to highlight the vari-ous challenges being faced by libraries and librarians in this age of information. Some solutions have been presented to the library professionals to overcome this technology to boost its services up to the entire satisfaction of the patrons. Research limitations/implications The strategic approach in this study can serve the academicians and practitioners in the field of librarianship as a stepping stone to develop a successful transition from traditional manufacturing into the industry 4.0. Originality/value The study is among the first to identify the challenges being faced by libraries and librarians in this age of Industrial revolutions.


Author(s):  
Swikriti Sheela Nath

The Fourth Industrial Revolution, finally, will change not only what we do but also who we are. It will affect our identity and all the issues associated with it: our sense of privacy, our notions of ownership, our consumption patterns, the time we devote to work and leisure, and how we developour careers, cultivate our skills, meet people, and nurture relationships. The technological revolution in the modern developing environment in which innovative technologies and trends such as the virtual reality (VR), Internet of Things (IoT), Artificial Intelligence (AI), Robotics are fundamentally altering the way of living, working and relationships to one another, is known as Fourth Industrial Revolution or Industry 4.0 or Industrie 4.0. The Fourth Industrial Revolution is reshaping every sphere of human life — from government to commerce; from education to healthcare. It is even impacting humanvalues, opportunities, relationships and identities by modifying virtual as well as physical worlds of human beings.


Author(s):  
Quoc-Viet Pham ◽  
Dinh C. Nguyen ◽  
Thien Huynh-The ◽  
Won-Joo Hwang ◽  
Pubudu N. Pathirana

The very first infected novel coronavirus case (COVID-19) was found in Hubei, China in Dec. 2019. The COVID-19 pandemic has spread over 215 countries and areas in the world, and has significantly affected every aspect of our daily lives. At the time of writing this article, the numbers of infected cases and deaths still increase significantly and have no sign of a well-controlled situation, e.g., as of 14 April 2020, a cumulative total of 1,853,265 (118,854) infected (dead) COVID-19 cases were reported in the world. Motivated by recent advances and applications of artificial intelligence (AI) and big data in various areas, this paper aims at emphasizing their importance in responding to the COVID-19 outbreak and preventing the severe effects of the COVID-19 pandemic. We firstly present an overview of AI and big data, then identify their applications in fighting against COVID-19, next highlight challenges and issues associated with state-of-the-art solutions, and finally come up with recommendations for the communications to effectively control the COVID-19 situation. It is expected that this paper provides researchers and communities with new insights into the ways AI and big data improve the COVID-19 situation, and drives further studies in stopping the COVID-19 outbreak.


Author(s):  
Phothong Saithibvongsa ◽  
Jae Eon Yu

Due to the fact that there is a huge technological progress and automation trend in the working world in this 21st century, Artificial Intelligence (AI) is not only considered as a new innovative product of technological advancement for humankind but it also perceived as a new serious threat for workers during new industrial revolution in the computer-age. The main purpose of this article is to study on the effects of AI on working conditions, environments and skills at workplaces. Because of this study is considered as an exploratory research or qualitative research, data is collected by interviewing some workers in industrial sectors in South Korea and interview videos which provide some critical opinions on Industrial Revolutions, robotic trend and AI. And then the arguments are discussed and supported by the results of other academic studies. As the result of the mentioned process, it is possible to say that AI has a great influence on employment condition in the computer-age and this study can identify four significant effects on working place. One of those effects is that AI directly and indirectly hinders human-being relations in the workplace. Another effect is to destroy our working knowledge and skills which are needed for a job in the traditional working world. Additionally, AI gradually demolishes workplace engagement and organizational identity. Apart from these unexpected effects, AI is commonly perceived as a main cause leading to such a serious unemployment growth in our society. In order to cope with these new challenges which might be caused by AI and rapidly technological development at workplaces, some significant solutions are introduced including AI is created for increasing the capacity of workers rather than replacing human workers, putting obligations and responsibilities on AI which is intentionally created and used to replace human workers and law enforcement on the areas which should be fully support for developing Artificial Intelligences and which sectors cannot be allowed to be dominated by AI is necessary. The article conclusion, limitations and suggestions for the future research will be discussed in the next parts respectively.


Author(s):  
Minhua Zhao

Purpose- This study seeks to investigate the collaboration between Digitalization and traditional manufacturing industry and investigate, how digitalized management brings new chances and challenges of management. Design/methodology/approach – The author designed a content analytical study researching the role of digitalization in traditional manufacturing industries. The article presents a selective but systematical review of recent digitalization trend and digital twin to be applied for innovative management in Industry 4.0 era. Findings– Digitalization is highly correlated with traditional manufactory in Industry 4.0 era. The study brings a new outlook on the next wave of Digitalization and review of associated challenges and opportunities for management and innovation in traditional manufacturing industries. Research limitations/implications – The research focuses on two branches of traditional industries only: machine tools building and metalworking industries. Future research needs to examine other traditional industries. The research is limited to 2 high related traditional manufacturing industries, machine tools and metalworking industry. Practical implications – The study and application of digitalization should be highly recommended and launched in traditional manufacturing industries. Universities, institutes and vocational schools should update, optimize their courses systems according to prediction of future industry. Originality/value – The paper enhances understanding about the collaboration between digitalization and traditional manufacturing industry. This paper analyzes an important issue the digitalization serves traditional industries. It is unique in its broad analysis of the related terms – Digitalization, Machines 4.0, Industry 4.0 and innovative management in Industry 4.0 era.


Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4672
Author(s):  
Mohamed H. Hassan ◽  
Cian Vyas ◽  
Bruce Grieve ◽  
Paulo Bartolo

The detection of glucose is crucial in the management of diabetes and other medical conditions but also crucial in a wide range of industries such as food and beverages. The development of glucose sensors in the past century has allowed diabetic patients to effectively manage their disease and has saved lives. First-generation glucose sensors have considerable limitations in sensitivity and selectivity which has spurred the development of more advanced approaches for both the medical and industrial sectors. The wide range of application areas has resulted in a range of materials and fabrication techniques to produce novel glucose sensors that have higher sensitivity and selectivity, lower cost, and are simpler to use. A major focus has been on the development of enzymatic electrochemical sensors, typically using glucose oxidase. However, non-enzymatic approaches using direct electrochemistry of glucose on noble metals are now a viable approach in glucose biosensor design. This review discusses the mechanisms of electrochemical glucose sensing with a focus on the different generations of enzymatic-based sensors, their recent advances, and provides an overview of the next generation of non-enzymatic sensors. Advancements in manufacturing techniques and materials are key in propelling the field of glucose sensing, however, significant limitations remain which are highlighted in this review and requires addressing to obtain a more stable, sensitive, selective, cost efficient, and real-time glucose sensor.


Sign in / Sign up

Export Citation Format

Share Document