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| Section | Weight | Objectives |
|---|---|---|
| Enterprise-wide Deployment | 6% | - Team formation and training - Organization objectives and deployment planning - Team performance evaluation - Systems and change management |
| Statistical Analysis | 20% | - Non-parametric tests - Inferential statistics and confidence intervals - Descriptive statistics (mean, median, mode, std dev, variance) - Probability distributions (Normal, Binomial, Poisson, Exponential) - Hypothesis testing (t-test, F-test, chi-square test) - Correlation and regression analysis - Analysis of variance (ANOVA) |
| DMAIC | 25% | - Analyze: hypothesis testing, ANOVA, regression, chi-square - Improve: DOE, response surface methodology, optimization - Control: control plans, SPC, feedback monitoring - Measure: data collection, descriptive statistics, graphical analysis - Define: VOC, VOB, project charter, SIPOC |
| Management and Leadership | 17% | - Risk assessment and management - Coaching and mentoring - Performance metrics and balanced scorecard - Team leadership and conflict resolution - Communication and presentation skills |
| Process Optimization | 20% | - Value stream mapping - Cycle time reduction - Design of Experiments (DOE) - Statistical process control charts (X-bar, R, S, I-MR, p, np, c, u) - Process control and SPC - Root cause analysis and corrective action - Measurement system analysis (MSA/Gage R&R) - Lean tools and waste elimination - Process capability analysis (Cp, Cpk, Pp, Ppk) |
| DFSS (Design for Six Sigma) | 12% | - Design for manufacturability - IDDOV (Identify, Define, Design, Optimize, Verify) - Design for reliability and FMEA - QFD (Quality Function Deployment) |
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NEW QUESTION # 264
What is the primary benefit for using a statistical tolerance approach?
Answer: D
Explanation:
The primary benefit of a statistical tolerance approach is that the tolerance on an individual part can be increased while still maintaining acceptable assembly or system performance. In DFSS and design engineering, conventional or worst-case tolerancing assumes that all component dimensions may simultaneously occur at their extreme limits, which often forces very tight individual tolerances. Statistical tolerancing recognizes that such simultaneous worst-case conditions are unlikely when component variation is random and controlled. By considering the statistical distribution of variation across parts, designers can often allow wider tolerances on individual components without sacrificing fit, function, or reliability of the final product. This provides greater manufacturing flexibility and can reduce production cost, scrap, inspection burden, and supplier difficulty. The method does not simply duplicate conventional results, nor does it reduce design latitude. In fact, it gives the designer more practical freedom by balancing performance requirements with realistic variation behavior. In Six Sigma design work, this supports robust product design and cost- effective manufacturability. Therefore, the correct answer is that the tolerance on an individual part can be increased.
NEW QUESTION # 265
This is an example of part of a:
Answer: C
NEW QUESTION # 266
Which of the items listed do not define what an X-Y Diagram is?
Answer: B
NEW QUESTION # 267
In a Fishbone Diagram the 6M's stand for Methods, ____________, Machine, Man, Mother Nature and Materials.
Answer: A
NEW QUESTION # 268
An operator is measuring the distance between two points. Which is most likely to be influenced by the operator?
Answer: C
NEW QUESTION # 269
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