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Balamurugan, P.
- Six Sigma Based Exponentially Weighted Moving Average Control Chart
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PDF Views:103
Authors
Affiliations
1 PSG College of Arts and Science, Coimbatore-641 014, TN, IN
2 The Kavery Engineering College, Salem-636 453, TN, IN
1 PSG College of Arts and Science, Coimbatore-641 014, TN, IN
2 The Kavery Engineering College, Salem-636 453, TN, IN
Source
Indian Journal of Science and Technology, Vol 3, No 10 (2010), Pagination: 1052-1055Abstract
A control chart is a statistical device used for the study and control of repetitive process. Shewhart (1931) of bell telephone laboratories suggested control charts based on the 3 sigma limits. Now the companies started applying 6 sigma initiatives in their manufacturing process, which results in lesser number of defects, are focused in identifying the causes due to assignable causes of variation. The companies practicing 6 sigma initiatives is expected to produce 3.4 or less number of defects per million opportunities, a concept suggested by Motorola (1980). If the companies practicing 6 sigma initiatives use the control limits suggested by Shewhart, then no point fall outside the control limits because of reduced variation. In this paper an attempt is made to construct a 6 sigma based exponentially weighted moving average control chart specially designed for the companies adopting 6 sigma initiatives in their organization. Suitable table is also constructed and presented for the engineers to take quick decisions.Keywords
Six Sigma Quality Level, Control Chart, Process Control, Six SigmaFull Text
References
- Montgomery DC (2001) Introduction to statistical quality control. 3rd edn., John Wiley & Sons, Inc., NY.
- Radhakrishnan R (2009) Construction of six sigma based sampling plans. D. Sc. Thesis submitted to Bharathiar Univ., Coimbatore, India.
- Radhakrishnan R and Balamurugan P (2009a) Trends in information technology and business intelligence. Excel India Publ., New Delhi.
- Radhakrishnan R and Balamurugan P (2009b) International marketing in Asia pacific: Issues and challenges. McMillan Publ., New Delhi.
- Radhakrishnan R and Balamurugan P (2009c) Innovative practices in management. Himalaya Publ.,, New Delhi.
- Radhakrishnan R and Balamurugan P (2010) Industrial engineering and operations management. Bangladesh, Society of mechanical engineers, Dhaka, Bangladesh.
- Radhakrishnan R and Sivakumaran PK (2008a) Construction and selection of 6 sigma sampling plan indexed through 6 sigma quality level. Int. J. Statistics Sys. 3(2), 153-159.
- Radhakrishnan R and Sivakumaran PK (2008b) Construction of 6 sigma repetitive group sampling plan, Int. J. Math. Comp. 1(8), 75-83.
- Radhakrishnan R and Sivakumaran PK (2008c) Construction and selection of conditional double sampling plan indexed through 6 sigma quality levels. Srilankan J. Appl. Statistics. 9, 74-83.
- Radhakrishnan R and Sivakumaran PK (2009d) Construction of double sampling plans through 6 sigma quality levels. Proc. of the IEEE 2nd Int. Joint Conf. Comp. Sci. Optimization (IEEECSO2009), Sanya, Hainan, China, 1027-1030.
- Roberts SW (1959) Control chart tests based on geometric moving averages. Technometrics. Vol. 1.
- Shewhart WA (1931) Economic control of quality of manufactured product. Van Nostrand, NY.
- Qualitative Analysis of Various Edge Detection Techniques Applied on Cervical Herniated Spine Images
Abstract Views :205 |
PDF Views:0
Authors
Affiliations
1 Department Computer Science, Government Arts College, Coimbatore, IN
1 Department Computer Science, Government Arts College, Coimbatore, IN
Source
ICTACT Journal on Image and Video Processing, Vol 9, No 4 (2019), Pagination: 1986-1991Abstract
Medical imaging plays a necessary role within the health care enterprise both from the value and patient care perspective. The most common Medical Imaging Systems include Computer Tomography, Magnetic Resonance Imaging, Magnetic Resonance Angiography and Mammography etc. In this paper, various edge detection techniques can be applied on cervical herniated spine images using MRI systems. Its work without using ionizing radiation, have specific uses in the diagnosis of disease. This paper is aimed to compare many edge detection techniques like Sobel, Prewitt, Roberts, Canny, LOG and Zero crossings etc and proposing the best suitable method of edge detection for medical imaging systems. The comparative analysis of medical image edge detection is based on the image quality metrics parameters such as Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR) using MATLAB software. The objective of the paper is to do the edge detection using MRI images and also find the quality measurements to various edge detection operators.Keywords
Medical Imaging Systems, Cervical Herniated Spine Images, Edge Detection, Image Quality Metrics.
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