= certified quality improvement associate CMQ/OE = certified manager of quality/ organizational excellence CQA = certified quality auditor CSSGB = certified Six Sigma Green Belt CQPA = certified quality process analyst CCT = certified calibration technician CBA = certified biomedical auditor CSSBB = certified Six Sigma Black Belt CSQE = certified software quality engineer CQE = certified quality engineer CQI = certified quality inspector CQT = certified quality technician CRE
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* Customer loyalty * Customer retention rate (around 100%) Internal business processes: * The percentage of private brand products (nearly 40%) * The number of stores (150) Learning and Innovation * Employee satisfaction: Quality Work Environment * Employee training In this dashboard‚ researcher chooses both qualitative and quantitative data. After all‚ in that case the balanced scorecard will offer a forward looking in which just quantitative data is not capable of
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Essay 3 This essay provides an analysis of the variables‚ statistical tests and methods used in the assigned research paper. The level of significance and the strengths and limitations of the data collection process were also reviewed. This study had several variables. One major independent variable is the qualitative questionnaire that was verbally given. In this scenario the dependent variable would be the measurement of the data that was collected. The process of a cause-effect relationship
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BOURDON TUBE PRESSURE GAUGE Bourdon Tubes are known for its very high range of differential pressure measurement in the range of almost 100‚000 psi (700 MPa). It is an elastic type pressure transducer. The device was invented by Eugene Bourdon in the year 1849. The basic idea behind the device is that‚ cross-sectional tubing when deformed in any way will tend to regain its circular form under the action of pressure. The bourdon pressure gauges used today have a slight elliptical cross-section and
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Six Sigma project teams required a diversity of skills that range from technical analysis‚ creative solution development‚ and implementation. These teams are not only addressing instant problems‚ but also provide an environment for individual learning‚ management development‚ and career advancement. Six Sigma teams are composed of several types of individuals which are: Champions‚ Master Black Belts‚ Black Belts‚ Green Belts and Team Members. Champions are Senior-level managers who promote and lead
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Statistical Analysis The analysis of the data from the study of Barnes & Noble stores is in two stages‚ the descriptive study and inferential statistical study. Initially‚ the Team will distribute and collect the questionnaires. The use of classification will summarize the data and express it in the tabular form for better understanding of the data. For example‚ if the questionnaires consist of information from males and females‚ the data is putinto two categories and expressed
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Six sigma application in Polyurethane Foam Industry for defective Headrests. C.E 2.1 – Introduction: During my penultimate year of my engineering in Delhi Technological University‚ as a part of the academic curricula‚ I had to work in a scientific setting ‚and prepare and present a report on my learnings to the faculty member incharge. I had choosen to do a research project in Flexo Foams private limited. This project prepared me for the role of a production engineer. Chronology: From Decemeber
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Research Proposal: Integrated CAD and Design for Six Sigma System (DFSS) for Product Design Revenue and market share are closely linked to how successful an organization manage its new product development process. An early launching and better management of quality could bring significant value to organization and customers. Defining‚ understanding and fulfilling customer requirements are key elements to ensuring a successful product. Six Sigma as a business improvement methodology (DMAIC – Define
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Testing statistical significance is an excellent way to identify probably relevance between a total data set mean/sigma and a smaller sample data set mean/sigma‚ otherwise known as a population mean/sigma and sample data set mean/sigma. This classification of testing is also very useful in proving probable relevance between data samples. Although testing statistical significance is not a 100% fool proof‚ if testing to the 95% probability on two data sets the statistical probability is .25% chance
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459-463 Copyright 1983 by the American Psychological Association‚ Inc. Statistical Significance‚ Power‚ and Effect Size: A Response to the Reexamination of Reviewer Bias Bruce E. Wampold Department of Educational Psychology University of Utah Michael J. Furlong and Donald R. Atkinson Graduate School of Education University of California‚ Santa Barbara In responding to our study of the influence that statistical significance has on reviewers ’ recommendations for the acceptance or rejection
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