Identify the Vital Inputs in Six Sigma Project
The list derived from the detailed process map needs to be shortlisted. This can be done in multiple ways. The different tools that are commonly used in six sigma projects to meet the purpose have been written down. They are as follows: Cause Effect Matrix: The cause and effect matrix takes the list of inputs […]
Missed Call: A Case Study of the Indian Telecom Industry in the Post Liberalization Era
The Mobile Revolution has Transformed Indian Society and Economy When compared to the other sectors that flourished in the post liberalization phase starting from the 1990s, the Indian Telecom Sector is perhaps the biggest success story as far as its role as an enabler of connectivity and helping the rural residents as well as the […]
Masters of the Universe: A Case Study of the Global Investment Banking Sector
Introduction Most of us would have heard of the globally famous Investment Banks such as Goldman Sachs, JP Morgan, and Chase Manhattan as well as Deutsche Bank. Indeed, for aspiring and working professionals alike working in these investment banks is a dream come true not only to the handsome (some would call it obscene) pay […]
Quality Frameworks and their role in Competitive Advantage
Adoption of quality frameworks like Six Sigma, ISO 9000 and Baldridge has ensured that companies derive a source of competitive advantage in the way in which they produce superior products with minimal loss of quality. Though these frameworks have been adopted in the manufacturing sector much earlier, the services sector has not lagged behind in […]
Facility Layout – Objectives, Design and Factors Affecting the Layout
Introduction For an organization to have an effective and efficient manufacturing unit, it is important that special attention is given to facility layout. Facility layout is an arrangement of different aspects of manufacturing in an appropriate manner as to achieve desired production results. Facility layout considers available space, final product, safety of users and facility […]
The analyze phase is one of the most dreaded phases in the Six Sigma methodology. There are common assumptions made that this phase involves a lot of high level statistical analysis. No wonder that most trainings are scheduled before analyze phase. The Six Sigma team members want to refresh their concepts before they actually get down and get their hands dirty.
However, the fact is that Statistics takes the limelight involved. Statistical analysis is just the last stage of a series of analysis. This is so because the Six Sigma methodology focuses on verifiable facts and statistics can empirically confirm a statement and make an opinion of a fact. Here is a look at the different analysis that are carried out behind the scenes.
Example: A Six Sigma project team is trying to conduct the analyze phase on a process. Even though the vital few inputs have been identified in the earlier stage, there still will be hundreds of relationships that might exist between the data. How does the Six Sigma project team know, which relationships are significant and must be hypothesised? No company has the resources to waste on conducting every possible hypothesis.
In such cases, the preliminary analysis serve the purpose. It requires some expertise and common sense on the part of a Six Sigma team to actually identify the business problems. These problems are then converted to statistical problems and a solution is reached as per the fact based nature of Six Sigma methodology.
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