scholarly journals Recent Development of Automation in Vehicle Manufacturing Industries

2019 ◽  
Vol 8 (6S4) ◽  
pp. 410-413 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Manufacturing Industry ◽  
Motor Vehicle ◽  
Manufacturing Industries ◽  
Research Trend ◽  
Future Research ◽  
Automation System ◽  
Safety Feature ◽  
Final Assembly ◽  
Wheel Loading

This paper presents the application of automation in different areas of motor vehicle manufacturing industry such as; robotic wheel loading, defect tracking in process, automated machine adjustment and restructuring, decision making, multi arm operation, final assembly and most important safety feature. In this work explore the present automation application and also find out the better way to implement in future to minimize the human efforts and time. These technologies based on the automation and artificial intelligence that will helps to make the process more efficient, stable and flexible. Moreover, aspects of changeability and adaptiveness of automation system have to be considered. The aim of this study to identified the opportunities and scope for future research trend in the field of automobile industries.

scholarly journals Information Fusion for Multi-Source Material Data: Progress and Challenges

2019 ◽  
Vol 9 (17) ◽  
pp. 3473 ◽  
Author(s):  
Zhou ◽  
Hong ◽  
Jin
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Data Fusion ◽  
Manufacturing Industry ◽  
Data Representation ◽  
Source Material ◽  
Future Research ◽  
Unified Framework ◽  
Open Problems ◽  
Material Data

The development of material science in the manufacturing industry has resulted in a huge amount of material data, which are often from different sources and vary in data format and semantics. The integration and fusion of material data can offer a unified framework for material data representation, processing, storage and mining, which can further help to accomplish many tasks, including material data disambiguation, material feature extraction, material-manufacturing parameters setting, and material knowledge extraction. On the other side, the rapid advance of information technologies like artificial intelligence and big data, brings new opportunities for material data fusion. To the best of our knowledge, the community is currently lacking a comprehensive review of the state-of-the-art techniques on material data fusion. This review first analyzes the special properties of material data and discusses the motivations of multi-source material data fusion. Then, we particularly focus on the recent achievements of multi-source material data fusion. This review has a few unique features compared to previous studies. First, we present a systematic categorization and comparison framework for material data fusion according to the processing flow of material data. Second, we discuss the applications and impact of recent hot technologies in material data fusion, including artificial intelligence algorithms and big data technologies. Finally, we present some open problems and future research directions for multi-source material data fusion.

scholarly journals INDUSTRI 4.0: TELAAH KLASIFIKASI ASPEK DAN ARAH PERKEMBANGAN RISET

2018 ◽  
Vol 13 (1) ◽  
pp. 17 ◽  
Author(s):  
Hoedi Prasetyo ◽  
Wahyudi Sutopo
Keyword(s):  
Literature Review ◽  
Research Methods ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Research Direction ◽  
Research Trend ◽  
Future Research ◽  
Upward Trend ◽  
Future Direction

AbstrakIstilah Industri 4.0 lahir dari ide tentang revolusi industri keempat. Keberadaannya menawarkan banyak potensi manfaat. Guna mewujudkan Industri 4.0, diperlukan keterlibatan akademisi dalam bentuk riset. Artikel ini bertujuan untuk menelaah aspek dan arah perkembangan riset terkait Industri 4.0. Pendekatan yang digunakan adalah studi terhadap beragam definisi dan model kerangka Industri 4.0 serta pemetaan dan analisis terhadap sejumlah publikasi. Beberapa publikasi bertema Industri 4.0 dipilah menurut metode penelitian, aspek kajian dan bidang industri. Hasil studi menunjukkan Industri 4.0 memiliki empat belas aspek. Ditinjau dari metode penelitian, sebagian besar riset dilakukan melalui metode deskriptif dan konseptual. Ditinjau dari aspeknya, aspek bisnis dan teknologi menjadi fokus riset para peneliti. Ditinjau dari bidang industri penerapannya, sebagian besar riset dilakukan di bidang manufaktur. Ditinjau dari jumlahnya, riset terkait Industri 4.0 mengalami tren kenaikan yang signifikan. Artikel ini diharapkan dapat memberi gambaran mengenai apa itu Industri 4.0, perkembangan dan potensi riset yang ada di dalamnya. AbstractIndustry 4.0: Study of Aspects Classification and Future Research Direction. The term Industrial 4.0 refers to the idea about fourth industrial revolution. In order to realize Industry 4.0, academic involvement is required in the form of research. This article aims to define the aspects and future direction of research related to Industry 4.0. Literature review of various definition and concept models of Industry 4.0. was conducted to acquire the aspects. Mapping and analysis of several publications were conducted to determine the future direction of research. Publications were sorted according to research methods, aspects and type of industry. The result shows that Industry 4.0 has fourteen aspects. Based on research methods, most of the research is done through descriptive and conceptual methods. Business and technology aspects become the focus of the researchers and most of the research is done in manufacturing industry. Based on quantities, Industrial 4.0 research has experienced a significant upward trend. This article is expected to illustrate the concept, future development and research trend of Industry 4.0.Keywords: Industry 4.0; Literature Review; Research Trend

An integrated Lean, Green and Six Sigma strategies

2020 ◽  
Vol 32 (2) ◽  
pp. 201-225 ◽  
Author(s):  
Lokpriya Gaikwad ◽  
Vivek Sunnapwar
Keyword(s):  
Literature Review ◽  
Six Sigma ◽  
Public Perception ◽  
Manufacturing Industry ◽  
Global Market ◽  
Manufacturing Industries ◽  
Future Research ◽  
Content Type ◽  
Integrated Framework ◽  
The Impact

Purpose The purpose of this paper is to present a systematic literature review and its analysis concerning a possible framework, compatibility, drivers and barriers for integrating three manufacturing strategies – Lean, Green and Six Sigma. In particular, analyzing current proposals and identifying the literature gaps in the existing literature from which future research directions and challenges have been suggested for developing a specific integrated framework for the Indian manufacturing industry. Design/methodology/approach This study explores manufacturing strategic area in depth through literature review, which will point out to the better understanding of the compatibility and impact of these initiatives through the conceptual framework, on the performance of the manufacturing organization. Findings The review of shortlisted articles indicates that Lean, Green and Six Sigma (LGSS) strategies help the manufacturing organizations to compete in global markets through the impact of a sustainability strategy for their business. Various researchers provide evidence of challenges like cost reduction, quality improvement, on-time delivery, changing needs of the customers and scarce resources that can be overcome through these strategies to achieve overall business objectives. Research limitations/implications In this research, only works of literature related to LGSS and sustainability have been studied so information related to linking between these strategies in manufacturing industries is limited. Practical implications Help the manufacturing practitioners to deploy three strategies simultaneously in an environment when the linking among LGSS methods in manufacturing industries has not been established. Hence simultaneous deployment of these three strategies helps the organization to boost its operational and environmental performance. Social implications The strategies, LGSS, will be adopted in the operational management to reduce both waste and pollution which will definitely help to society. It will highlight the need for cost effective and easy to implement solutions as well as brand building, which is one of the top incentives for LGSS, highlighting the importance of public perception of how companies operate. Originality/value An integrated framework of the LGSS will help the Indian manufacturing industries to improve performance and competitiveness in the global market.

scholarly journals Digitalization and Innovative Management of Traditional Manufacturing Industry

2021 ◽  
Author(s):  
Minhua Zhao
Keyword(s):  
Machine Tools ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Manufacturing Industries ◽  
Future Research ◽  
Metalworking Industry ◽  
Innovative Management ◽  
Challenges And Opportunities ◽  
Highly Correlated ◽  
Traditional Manufacturing

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.

Artificial Intelligence as a Technological Innovation to Accelerate Economic Development

2019 ◽  
Vol 12 (3) ◽  
pp. 125-133
Author(s):  
S. V. Shchurina ◽  
A. S. Danilov
Keyword(s):  
Artificial Intelligence ◽  
Economic Development ◽  
Technological Innovation ◽  
Manufacturing Industry ◽  
New Technologies ◽  
Retail Trade ◽  
High Tech ◽  
Industrial Complex ◽  
Technological Gap ◽  
The Government

The subject of the research is the introduction of artificial intelligence as a technological innovation into the Russian economic development. The relevance of the problem is due to the fact that the Russian market of artificial intelligence is still in the infancy and the necessity to bridge the current technological gap between Russia and the leading economies of the world is coming to the forefront. The financial sector, the manufacturing industry and the retail trade are the drivers of the artificial intelligence development. However, company managers in Russia are not prepared for the practical application of expensive artificial intelligence technologies. Under these circumstances, the challenge is to develop measures to support high-tech projects of small and medium-sized businesses, given that the technological innovation considered can accelerate the development of the Russian economy in the energy sector fully or partially controlled by the government as well as in the military-industrial complex and the judicial system.The purposes of the research were to examine the current state of technological innovations in the field of artificial intelligence in the leading countries and Russia and develop proposals for improving the AI application in the Russian practices.The paper concludes that the artificial intelligence is a breakthrough technology with a great application potential. Active promotion of the artificial intelligence in companies significantly increases their efficiency, competitiveness, develops industry markets, stimulates introduction of new technologies, improves product quality and scales up manufacturing. In general, the artificial intelligence gives a new impetus to the development of Russia and facilitates its entry into the five largest world’s economies.

Study on the Glass Beads Refractive Index Testing Technology

2012 ◽  
Vol 487 ◽  
pp. 805-809
Author(s):  
Jun Ma ◽  
Dong Hua Guo
Keyword(s):  
Refractive Index ◽  
Glass Bead ◽  
Glass Beads ◽  
Research Trend ◽  
Future Research ◽  
The Future ◽  
Testing Technology ◽  
At Home

this thesis discusses the main testing technologies at home and abroad relating to the glass bead refractive index, analyses the research emphases relating to the glass bead refractive index testing technology at present and point out the future research trend.

scholarly journals Review on the Use of Artificial Intelligence to Predict Fire Performance of Construction Materials and Their Flame Retardancy

Molecules ◽  
2021 ◽  
Vol 26 (4) ◽  
pp. 1022
Author(s):  
Hoang T. Nguyen ◽  
Kate T. Q. Nguyen ◽  
Tu C. Le ◽  
Guomin Zhang
Keyword(s):  
Artificial Intelligence ◽  
Flame Retardancy ◽  
Material Science ◽  
Construction Materials ◽  
Engineering Problem ◽  
Future Research ◽  
Fire Performance ◽  
Structural Components ◽  
Comprehensive Overview ◽  
Fire Engineering

The evaluation and interpretation of the behavior of construction materials under fire conditions have been complicated. Over the last few years, artificial intelligence (AI) has emerged as a reliable method to tackle this engineering problem. This review summarizes existing studies that applied AI to predict the fire performance of different construction materials (e.g., concrete, steel, timber, and composites). The prediction of the flame retardancy of some structural components such as beams, columns, slabs, and connections by utilizing AI-based models is also discussed. The end of this review offers insights on the advantages, existing challenges, and recommendations for the development of AI techniques used to evaluate the fire performance of construction materials and their flame retardancy. This review offers a comprehensive overview to researchers in the fields of fire engineering and material science, and it encourages them to explore and consider the use of AI in future research projects.

scholarly journals Artificial intelligence in hospitals: providing a status quo of ethical considerations in academia to guide future research

AI & Society ◽  
2021 ◽  
Author(s):  
Milad Mirbabaie ◽  
Lennart Hofeditz ◽  
Nicholas R. J. Frick ◽  
Stefan Stieglitz
Keyword(s):  
Artificial Intelligence ◽  
Citation Network ◽  
Status Quo ◽  
Biomedical Ethics ◽  
Future Research ◽  
Ethical Considerations ◽  
Ethical Discourse ◽  
The Status ◽  
Clinical Environments ◽  
Research Questions

AbstractThe application of artificial intelligence (AI) in hospitals yields many advantages but also confronts healthcare with ethical questions and challenges. While various disciplines have conducted specific research on the ethical considerations of AI in hospitals, the literature still requires a holistic overview. By conducting a systematic discourse approach highlighted by expert interviews with healthcare specialists, we identified the status quo of interdisciplinary research in academia on ethical considerations and dimensions of AI in hospitals. We found 15 fundamental manuscripts by constructing a citation network for the ethical discourse, and we extracted actionable principles and their relationships. We provide an agenda to guide academia, framed under the principles of biomedical ethics. We provide an understanding of the current ethical discourse of AI in clinical environments, identify where further research is pressingly needed, and discuss additional research questions that should be addressed. We also guide practitioners to acknowledge AI-related benefits in hospitals and to understand the related ethical concerns.

A Bibliometric Review on Outcome-Based Learning for Graduate Employability: Mapping the Research Front

2021 ◽  
pp. 002205742110164
Author(s):  
Mohammad Zahir Raihan ◽  
Md. Abul Kalam Azad
Keyword(s):  
Research Trend ◽  
Future Research ◽  
Research Front ◽  
Important Research ◽  
R Software ◽  
Future Research Agenda ◽  
Graduate Employability ◽  
Important Research Topic ◽  
Bibliometric Review ◽  
First Time

The outcome-based learning for graduate employability in higher education has been an important research topic among the policymakers, academicians, and researchers over the years. Yet, no bibliometric review on this topic has been published. This study, for the first time, examines bibliometric analysis on this topic examining current research trend and future research agenda. The bibliometrix package in R software and VOSviewer software are used for visualization and interpretation of results. A content analysis is performed to manually examine the bibliometric results.

scholarly journals Future Research Trend for Improving Large Reflector Antenna Service Performance

Engineering ◽  
2021 ◽  
Author(s):  
Peiyuan Lian ◽  
Congsi Wang ◽  
Song Xue ◽  
Yan Wang ◽  
Yuefei Yan ◽  
...  
Keyword(s):  
Reflector Antenna ◽  
Service Performance ◽  
Research Trend ◽  
Future Research
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