Research methology

Email What is handicapping? How does one handicap a race? Each of these approaches can provide valuable information to help you make decisions about the outcome of the race. Keep in mind that each type of race might call for a different application of the same data points.

Research methology

A look at the innovations that contributed to the methology we call Research methology Sigma and a glimpse into its future. The Six Sigma methodology is not a revolutionary way of thinking, and it does not provide a radically new set of quality tools.

It is more of an evolutionary development in the science of continuous improvement that combines the best elements from many earlier quality initiatives. Although some of the tools used in Six Sigma, such as quality function deployment QFDare relatively new, most, such as the fishbone diagram, date back 50 years or more.

The philosophies related to Six Sigma have existed in one form or another even longer than that see Figure 1. Customer focus, data driven decision making, business results focus and process understanding are not new approaches to business success.

What is new, and what makes Six Sigma so powerful, is the combination of these elements with a rigorous, disciplined approach and well-publicized, proven business successes.

General George Patton was a great student of history.

Research methology

He believed those who did not learn from past mistakes were doomed to repeat them. This is true in the field of quality and continuous improvement, as well. Eli Whitney, Mass Production and Interchangeable Parts Best known for his invention of the cotton gin inEli Whitney had a greater impact on modern manufacturing with the introduction of his revolutionary uniformity system.

He proved it was possible to produce interchangeable parts that were similar enough in fit and function to allow for random selection of parts in the assembly of the muskets. Throughout the next century, quality involved defining ways to objectively verify the new parts would match the original parts or design.

Exact replication was not always necessary, practical, cost effective or measurable. Objective methods of measuring and assuring dimensional consistency evolved in the mids with the introduction and use of go gages that verified the minimum dimension of the new part.

Correct replication of the maximum dimension was assured by using the no go gages that were introduced about 30 years later. Minimum and maximum tolerance limits, as measured by the use of these gages, provided some of the first objective measures of similarity among parts.

These measures eventually evolved into specifications. It was critical that only good parts be available for use so the production assembly line would not be forced to slow down or stop while a worker sorted through piles of parts to find one that fit.

With the Industrial Revolution in full swing, ever increasing production volumes required different methods of testing and assurance to provide reasonable certainty the new product would be similar to the original product or design.

It was no longer practical to test each piece against go and no go gages. Such testing was cost prohibitive, unacceptably time consuming and, in some cases, impossible, especially if the test adversely affected the functionality of the output.

Walter Shewhart The Western Electric manufacturing plant in Hawthorne, IL, is noteworthy because it was the breeding ground for many quality leaders, including Joseph M.

Edwards Deming and Walter A. Juran worked at the plant for 17 years, Deming worked there as an intern during two summers, and Shewhart worked in the research labs that supported the plant. On May 16,Shewhart introduced a new data collection, display and analysis form.

The original control chart form allowed an inspector to document the percentage of defective product in both a tabular and a time ordered graphic format. As data collection progressed, statistically computed limits were drawn to identify the expected range of defective products. This helped alert the operator to changes in the process.

The ability to use statistically based control charts changed the role of the quality inspector from one of identifying and sorting defective product to one of monitoring the stability of the process and identifying when it had changed.

Early detection by the inspector or worker helped identify the causes of the change and target improvements.The New Methodology. In the past few years there's been a blossoming of a new style of software methodology - referred to as agile methods. Alternatively characterized as an antidote to bureaucracy or a license to hack they've stirred up interest all over the software landscape.

Improve performance, reduce risk and optimize return on your investments through our combination of research insight, benchmarking data, problem-solving methodologies and hands-on experience. A research method is a systematic plan for doing research. In this lesson, we'll look at the definition for a research method and examine the four most common research methods .

Research methology

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Research methodologies