Design for Six Sigma in product and service development : by Elizabeth A. Cudney

By Elizabeth A. Cudney

''Design for 6 Sigma (DFSS) is a data-driven caliber process for designing services. The objective of DFSS is to prevent technique difficulties utilizing structures engineering recommendations. DFSS includes 5 interconnected levels: outline, degree, study, layout, determine. This e-book presents an in depth description of ways to use DFSS in product and repair improvement. It presents tutorial suggestions, an overview Read more...

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Example text

1 Customer Surveys Interviews, focus groups, surveys, and market research are some of the most common ways to collect the VOC. The main difference between DFSS and Six Sigma would be that existing customer complaints, warranty information, and other data from an existing process or product would not be available or could not apply to our new process or product that we are designing. However, data from similar processes or products may be used in these cases. For redesign of processes and products, then historical information would be available for a DFSS project.

Information is obtained relatively inexpensively. Some of the disadvantages of focus groups are as follows: • The skills of the facilitator dictate the quality of the responses. • They can be difficult to schedule. • It can be difficult to analyze the dialogue due to participant interactions. Affinity diagrams organize interview, survey, and focus group data after collection. The affinity diagram organizes the data into themes or categories. The themes can first be generated and then the data can be organized into the themes, or the detailed data can be grouped into the themes.

13) could be used to identify the data to be collected that would support the assessment of the proposed CTS and to validate these CTS from the customers’ perspective. 13 Data Collection Plan for Software Application Development Six Sigma Project. Define the critical to satisfaction metrics. Develop metrics. Identify data collection mechanism(s). Identify analysis mechanism(s). Develop sampling plans. Develop sampling instructions. A description of each step in the data collection plan development follows.

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