Journal article
Automated vision inspection in network-based production environment
International journal of advanced manufacturing technology, v 45(1-2), pp 81-90
01 Nov 2009
Abstract
This paper presents a new, holistic, Internet-based quality control approach. In recent years, a rapidly changing business environment driven by fierce international and domestic competitions has pushed companies to focus more on quality issues. A new strategy in quality control better suited to information-integrated production environments is a natural byproduct. The new strategy is called EQM, short for e-quality for manufacture, which allows designers located away from the production facilities to monitor, control, and program the quality inspection processes as the product design evolves. EQM also allows the quality data to be integrated within the company's information network for automated quality monitoring and control functions. Such integration relieves the human operators from laborious, error-prone, and boring tasks of quality monitoring and samplings practices, which will help reduce production costs and lower the chance of shipping defective products to the customers.
Metrics
Details
- Title
- Automated vision inspection in network-based production environment
- Creators
- Yongjin James Kwon - Ajou UniversityRichard Chiou - Drexel University
- Publication Details
- International journal of advanced manufacturing technology, v 45(1-2), pp 81-90
- Publisher
- Springer Nature
- Number of pages
- 10
- Grant note
- Yamaha Robotics Company DUE-0618665 / U.S. National Science Foundation; National Science Foundation (NSF) P116B060122 / U.S. Dept. of Education
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Engineering Technology
- Web of Science ID
- WOS:000270450100010
- Scopus ID
- 2-s2.0-70350537132
- Other Identifier
- 991019167836804721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Automation & Control Systems
- Engineering, Manufacturing