A Visualization Scheme with a Calendar Heat Map for Abnormal Pattern Analysis in the Manufacturing Process
1
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
Abnormal data in the manufacturing process makes it difficult to find useful information that can be applied in data management for the manufacturing industry. It causes various problems in the daily process of production. An issue from the abnormal data can be handled by our method that uses big data and visualization. Visualization is a new technology that transforms data representation into a two-dimensional representation. Nowadays, many newly developed technologies provide data analysis, algorithm, optimization, and high efficiency, and they meet user requirements. We propose combined production of the data visualization approach that uses integrative visualization of sources of abnormal pattern analysis results. The perceived idea of the proposed approach can solve the problem as it also works for big data. It can also improve the performance and understanding by using visualization and solving issues that occur in the manufacturing process with a calendar heat map.
Abstract
Abnormal data in the manufacturing process makes it difficult to find useful information that can be applied in data management for the manufacturing industry. It causes various problems in the daily process of production. An issue from the abnormal data can be handled by our method that uses big data and visualization. Visualization is a new technology that transforms data representation into a two-dimensional representation. Nowadays, many newly developed technologies provide data analysis, algorithm, optimization, and high efficiency, and they meet user requirements. We propose combined production of the data visualization approach that uses integrative visualization of sources of abnormal pattern analysis results. The perceived idea of the proposed approach can solve the problem as it also works for big data. It can also improve the performance and understanding by using visualization and solving issues that occur in the manufacturing process with a calendar heat map.
참고문헌 (23)
- J. Lee, "Recent advances and trends in predictive manufacturing system in a big data environment", Manufacturing Letter, pp.38~41 (2013)
- J. Lee, "A Cyper-Physical Systems architecture for Industry 4. 0–based manufacturing systems", Manufacturing Letter, 3, pp.18~23 (2015)
- KSCI, "Manufacture Symbol, KS A 3002", ~ (2014)
- "Plant Simulation" (2015)[URL]
- "Arena Simulation Software" (2015)[URL]
- Y. Zhong, "Virtual factory for manufacturing process visualization", Complexity International, 12, pp.1~22 (2008)
- Helga Thorvaldsdóttir, "Integrative Genomics Viewer (IGV): highperformance genomics data visualization and exploration", 14, pp.178~192 (2012)
- D. A. Keim, "Information Visualization and Visual Data Mining", IEEE transactions on visualization and computer graphics, 7(1) (2002)
- G. Köksal, "A review of data mining applications for quality improvement in the manufacturing industry", Expert Systems with Applications, 38, pp.13448~13467 (2011)
- F. Bao, "Visual framework for big data in d3.js", IEEE Workshop on Electronics, Computer and Applications, pp.44~50 (2014)
- D. Pantförder, "Benefit and evaluation of interactive 3D process data visualization in operator training of plant manufacturing industry", Proceedings of the 2009 IEEE International Conference on Systems, pp.840~845 (2009)
- M. D. Ma, "Fault Detection Based on Statistical Multivariate Analysis and Microarray Visualization", IEEE Transactions on industrial informatics, 6, pp.18~24 (2010)
- M. M. Najafabadi, "Deep learning applications and challenges in big data analytics", Journal of Big Data, 2(1), pp.1~21 (2015)
- Q. Yang, "10 Challenging Problems in Data Mining Research", International Journal of Information Technology & Decision Making, 5(4), pp.597~604 (2006)
- L. J. Wells, "A framework for variation visualization and understanding in complex manufacturing systems", Journal of Intelligent Manufacturing, 23, pp.2025~2036 (2012)
- Zhiqiang Ge, "Semiconductor Manufacturing Process Monitoring Based on Adaptive Substatistical PCA", IEEE Transactions on Semiconductor Manufacturing, 23, pp.99~108 (2010)
- J. Jo, "LiveGantt : Interactively Visualizing a Large Manufacturing Schedule", IEEE Transaction on Visualization and Computer Graphics, 20(12), pp.2329~2337 (2014)
- F. Doil, "Augmented reality for manufacturing planning", Proceedings of the Workshop on Virtual Environments (EGVE), pp.71~76 (2003)
- A. Tang, "Comparative Effectiveness of augmented reality in object assembly", Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp.73~80 (2003)
- D. Chankhihort, "Integrative Manufacturing Data Visualization using Calendar View Map", 2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN), pp.114~116 (2016)
- D. Chankhihort, "Integrative visualization of resources abnormal analysis results", The 3rd international conference on big data applications and services (Bigdas-L), 3, pp.196~200 (2016)
- John F. Magee, "Decision trees for decision making", Harvard Business Review (1964)
- T. P. Yang, "Genevar : a database and Java application for the analysis and visualization of SNP-gene associations in eQTL studies", Bioinformatics, 26, pp.2474~2476 (2010)