Tag: green-belt

In a box plot (box-and-whisker plot), extreme values that fall beyond the whiskers are called outliers. The whiskers typically extend to 1.5 × IQR (Interquartile Range) from the quartiles. Any data point beyond these whiskers is considered an outlier and is plotted individually as a dot or asterisk. These extreme values warrant investigation as they may represent special causes or measurement errors.

FMEA stands for Failure Mode and Effects Analysis. It is a systematic method used to identify potential failure modes in a process, product, or system, assess their severity and likelihood, and prioritize actions to prevent or mitigate them. The full name exactly matches option B, making it the correct answer.

FMEA is used during solution development and implementation to identify potential failure modes and refine the solution accordingly. By analyzing how a solution might fail (failure modes) and what the effects would be, teams can proactively modify the design or process to prevent those failures. This preventive approach ensures solutions are robust before full deployment, making 'Refining the solution based on failuremodes' the primary use.

When a production job fails due to new code changes, the immediate priority is Containment - limiting the impact and preventing further occurrence while protecting production systems. Taking it as a full GB project (A) or collecting historical data (D) are appropriate but secondary to containing the immediate problem. Leaving it as is (C) ignores the production impact. Containment is the first response in problem-solving methodology.

In Design of Experiments with full factorial design, the number of trials is calculated as levels^variables. With 3 variables at 2 levels each: 2^3 = 8 trials. This tests all possible combinations. Option C (5) might suggest fractional factorial, and option D (16) would be 2^4 for four variables.

Managing customer expectations during Voice of the Customer (VOC) collection requires transparency. Explaining your intent helps the customer understand why you are asking questions and prevents them from assuming that every suggestion they make will be immediately implemented, which maintains a professional relationship.

When one variable increases while the other decreases, they have an inverse (negative) relationship. In a positive relationship, both variables move in the same direction. 'Independent' suggests no relationship exists, and 'No Relationship' means no correlation. The correct term for opposite movement is inverse.

When dealing with continuous data and a sample size of 1 (individual observations), the Individuals and Moving Range (I-MR) chart is the appropriate tool. Option 5617 (X and Moving Range) is synonymous with I-MR. 'p' and 'np' charts are used for discrete/attribute data.

Sigma calculation requires the formula: Sigma = NORMSINV(1 - defects/opportunities) + 1.5. When defects are zero, the defects/opportunities ratio becomes 0, requiring NORMSINV(1), which is undefined. Division by zero in the DPMO calculation also creates mathematical impossibility. Therefore sigma cannot be calculated with zero defects - it's a singularity.

Zst (Sigma short-term) excludes long-term process variations, while Zlt (Sigma long-term) includes them. The relationship is Zlt = Zst - 1.5. This 1.5 sigma shift accounts for long-term process degradation. Therefore if Zst is 4, Zlt = 4 - 1.5 = 2.5.