Six Sigma Quick Switching Variables Sampling System Indexed by Six Sigma Quality Levels

Abstract

Motorola corporation introduced the concept of Six Sigma is a method for improving overall quality and production. If this concept of Six Sigma adopted in an organization it can results in 3.4 or lower defects per million opportunities in the long run. In recent days many companies in developed and developing countries started working beyond Six Sigma level and thereby the performance level increases with number of defectives reduced to near zero level. In this Paper, Six Sigma Quick Switching Variables Sampling System [SSQSVSS (n; kN, kT)] indexed by Six Sigma Quality Level's presented. Tables are also constructed for the selection of parameters of known and unknown standard deviations of SSQSVSS for a given Six Sigma acceptable quality level (SSAQL) and Six Sigma limiting quality level (SSLQL).

Authors and Affiliations

Dr D Senthilkumar , B. Esha Raffie

Keywords

Related Articles

Enigmatic Power of Turing Machines: A Review 

Automata are said to be theoretical devices which help in understanding the reasoning behind computations and are considered to be ideal rather than realistic. This is because the actual computers cannot have infinite me...

Transition Bandwidth Analysis of Infinite Impulse Response Filters

Infinite impulse response (IIR) is a property applying to many linear time-invariant systems. Digital filters are the common example of linear time invariant systems. Systems with this property are called IIR systems or...

Segmentation of Brain Tumour and Its Area Calculation in Brain MR Images using K-Mean Clustering and Fuzzy C-Mean Algorithm

This paper deals with the implementation of Simple Algorithm for detection of range and shape of tumour in brain MR images. Tumour is an uncontrolled growth of tissues in any part of the body. Tumours are of different ty...

Implementation of Skyline Sweeping Algorithm

Searching keywords in databases is complex task than search in files. Information Retrieval (IR) process search keywords from text files and it is very important that queering keyword to the relational databases. General...

A Novel Approach to Recognize the off-line Handwritten Numerals using MLP and SVM Classifiers

This paper presents a new approach to off-line handwritten numeral recognition. Recognition of handwritten numerals has been one of the most challenging task in pattern recognition. Recognition of handwritten numerals po...

Download PDF file
  • EP ID EP125214
  • DOI -
  • Views 99
  • Downloads 0

How To Cite

Dr D Senthilkumar, B. Esha Raffie (2012). Six Sigma Quick Switching Variables Sampling System Indexed by Six Sigma Quality Levels. International Journal of Computer Science & Engineering Technology, 3(12), 565-576. https://europub.co.uk/articles/-A-125214