scholarly journals Research on Assembly Automation Technology of New Prefabricated Transformer Prefabricated Transformer

2020 ◽  
Vol 1650 ◽  
pp. 022012
Author(s):  
Peifeng Pan ◽  
Zhiyi Yang ◽  
Longda Li ◽  
Xiaoying Zhu ◽  
Tao Wu
Keyword(s):  
Assembly Automation ◽  
Automation Technology

scholarly journals In Celebration of the Foundation of “International Journal of Automation Technology”

2007 ◽  
Vol 1 (1) ◽  
pp. 6-6
Author(s):  
Tamio Arai
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
Force Feedback ◽  
Assembly Lines ◽  
Assembly Automation ◽  
Service Sectors ◽  
Automation Technology ◽  
Automated Lines ◽  
Bio Engineering ◽  
Human Support

It is my great honor to extend my sincere congratulation on the new journal on automation technology in 21st century. The assembly automation started in the 1960's after machining had been mechanized. It took a long period to mechanize workers’ operation and automate assembly lines. In these decades, computers exploded their ability and robots gained intelligence. The diversification of the customer requirement, however, has changed automated lines into manufacturing systems with low flexibility. Instead of automation, cell manufacturing system by human workers turned dominant. Hereafter, the automation will become important again. A new age of automation comes with intelligent use of sensors; technology of image processing an force feedback enables automatic machine not only adaptable to the change of environment but also cooperative with human workers. Applications of automation technology will extend from manufacturing industries to service sectors, where IRT (Information and Robot Technology) is required to support to deal with physical objects and to generate values for each individual. I hope the journal advances automation technology in various novel fields such as bio-engineering, human support technology and service engineering.

scholarly journals Assembly Automation Technology of the Stand Type Transformer Using Power System Gripper Cable

2021 ◽  
Vol 804 (3) ◽  
pp. 032054
Author(s):  
Peifeng Pan ◽  
Zhiyi Yang ◽  
Longda Li ◽  
Xinsheng Jin ◽  
Tao Wu
Keyword(s):  
Power System ◽  
Assembly Automation ◽  
Stand Type ◽  
Automation Technology

PKM Peningkatan Kuantitas Dan Kualitas Produksi Bakpia Dan Nugget Tempe Melalui Pemanfaatan Teknologi Otomasi Di Desa Bangunharjo

2019 ◽  
Vol 3 (1) ◽  
pp. 25
Author(s):  
Yohannes Anton Nugroho ◽  
Ari Zaqi Al Faritsy ◽  
Ari Sugiharto
Keyword(s):  
Quality Assurance ◽  
Production Capacity ◽  
Community Partnership ◽  
Economic Independence ◽  
Production Time ◽  
Industry Association ◽  
Processing Equipment ◽  
Automation Technology ◽  
Partnership Program

The Community Partnership Program in partnership with the Tani Rahayu Women's Group and the Bakpia Jurug Industry Association have succeeded in helping create economic independence. The results of this program are increased capacity and quality of production of bakpia and tempeh nuggets in the partner group. The implementation of mechanical and automation technology-based tools is able to increase the production capacity of tempe nuggets from 2 kg to 24 kg in a production time of 8 hours. While the implementation of the use of bakpia kumbu processing equipment was able to increase the production of 3 kg to 24 kg in a production time of 8 hours. The utilization of these tools has also been followed by quality assurance training and assistance, so that the quality of the products produced is uniform.

scholarly journals Demystifying data and AI for manufacturing: case studies from a major computer maker

2021 ◽  
Vol 10 ◽  
Author(s):  
Yi-Chun Chen ◽  
Bo-Huei He ◽  
Shih-Sung Lin ◽  
Jonathan Hans Soeseno ◽  
Daniel Stanley Tan ◽  
...  
Keyword(s):  
Training Data ◽  
Smart Manufacturing ◽  
Reliable System ◽  
Process Innovations ◽  
Optical Inspection ◽  
Technical Details ◽  
Automation Technology ◽  
Electronic Parts ◽  
Traditional Approaches ◽  
Inspection Machine

In this article, we discuss the backgrounds and technical details about several smart manufacturing projects in a tier-one electronics manufacturing facility. We devise a process to manage logistic forecast and inventory preparation for electronic parts using historical data and a recurrent neural network to achieve significant improvement over current methods. We present a system for automatically qualifying laptop software for mass production through computer vision and automation technology. The result is a reliable system that can save hundreds of man-years in the qualification process. Finally, we create a deep learning-based algorithm for visual inspection of product appearances, which requires significantly less defect training data compared to traditional approaches. For production needs, we design an automatic optical inspection machine suitable for our algorithm and process. We also discuss the issues for data collection and enabling smart manufacturing projects in a factory setting, where the projects operate on a delicate balance between process innovations and cost-saving measures.

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