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| Section | Weight | Objectives |
|---|---|---|
| DFSS (Design for Six Sigma) | 12% | - Design for manufacturability - IDDOV (Identify, Define, Design, Optimize, Verify) - QFD (Quality Function Deployment) - Design for reliability and FMEA |
| Enterprise-wide Deployment | 6% | - Systems and change management - Team performance evaluation - Team formation and training - Organization objectives and deployment planning |
| DMAIC | 25% | - Define: VOC, VOB, project charter, SIPOC - Measure: data collection, descriptive statistics, graphical analysis - Analyze: hypothesis testing, ANOVA, regression, chi-square - Improve: DOE, response surface methodology, optimization - Control: control plans, SPC, feedback monitoring |
| Process Optimization | 20% | - Measurement system analysis (MSA/Gage R&R) - Cycle time reduction - Process capability analysis (Cp, Cpk, Pp, Ppk) - Statistical process control charts (X-bar, R, S, I-MR, p, np, c, u) - Lean tools and waste elimination - Root cause analysis and corrective action - Design of Experiments (DOE) - Value stream mapping - Process control and SPC |
| Management and Leadership | 17% | - Risk assessment and management - Coaching and mentoring - Communication and presentation skills - Team leadership and conflict resolution - Performance metrics and balanced scorecard |
| Statistical Analysis | 20% | - Probability distributions (Normal, Binomial, Poisson, Exponential) - Descriptive statistics (mean, median, mode, std dev, variance) - Inferential statistics and confidence intervals - Correlation and regression analysis - Hypothesis testing (t-test, F-test, chi-square test) - Non-parametric tests - Analysis of variance (ANOVA) |
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NEW QUESTION # 22
A process decision program chart (PDPC) can be used to develop a
Answer: A
Explanation:
The correct answer is D. contingency plan . The CSSBB material defines the process decision program chart (PDPC) as a method used to chart the course of events from a starting point to a final complex goal, while recognizing that uncertainty in intermediate steps may derail progress. The source explicitly states that the various events are charted and contingencies are planned for , and further notes that the PDPC method is similar to contingency planning .
This makes PDPC especially valuable when the problem is new, complex, or involves challenging steps where "what-if" failures may occur. The tool helps the team anticipate risks and identify fallback actions before implementation problems arise. It is not primarily a project schedule, because scheduling is more closely associated with tools such as activity network diagrams or PERT/CPM. It is also not a cause-and- effect matrix, which is used for relating variables, nor is it a tree diagram, although both are among the management and planning tools. The PDPC extends beyond simple branching logic by planning responses to possible breakdowns. Therefore, from a CSSBB standpoint, the best answer is D. contingency plan .
NEW QUESTION # 23
SCENARIO A Six Sigma team is measuring the moisture content of corn starch as it leaves the conveyer belt of a dryer. They collect one sample four cups of starch at times indicated in the chart at fixed locations labeled A, B, C, and D across the end of the belt. See the diagram below.
Find the sample linear correlation coefficient and the sample coefficient of determination for the data in problem VI.11.
Answer: A
NEW QUESTION # 24
The reported Cpk for a process with an average of 98 units, a spread of 16 units and upper and lower specification limits of 115 and 90 units would be?
Answer: A
NEW QUESTION # 25
A ____ from a sample is used to estimate a population _____. The two words that best fill these blanks are:
Answer: E
NEW QUESTION # 26
A process has a specification of 5.2 ± 0.3 and yields the following data:
What is the Ppk of the process?
Answer: A
Explanation:
The process capability index Ppk measures how well a process is performing relative to its specification limits while accounting for how centered the process mean is. It is calculated using the formulas:
First determine the specification limits from the tolerance 5.2 ± 0.3 :
* USL = 5.2 + 0.3 = 5.5
* LSL = 5.2 # 0.3 = 4.9
Next compute both capability sides.
Upper side:
Lower side:
Ppk takes the minimum of these two values because capability is limited by the nearest specification limit.
Thus, the correct answer is A (0.625) . The process mean is closer to the upper specification limit, which reduces capability on that side and determines the overall Ppk value.
NEW QUESTION # 27
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