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| Section | Objectives |
|---|---|
| Topic 1: Improve Phase | - Design of experiments (DOE) - Solution generation and selection - Lean tools and process optimization |
| Topic 2: Control Phase | - Statistical process control (SPC) - Monitoring and sustaining improvements - Control plans |
| Topic 3: Analyze Phase | - Failure modes and effects analysis (FMEA) - Regression and correlation analysis - Root cause analysis - Hypothesis testing |
| Topic 4: Six Sigma and Organizational Goals | - Organizational goals and Six Sigma projects - Lean principles and Six Sigma integration |
| Topic 5: Define Phase | - Voice of the customer (VOC) and CTQ - Project identification and selection - Project charters and stakeholder analysis |
| Topic 6: Measure Phase | - Data collection and sampling methods - Measurement system analysis (MSA) - Process capability analysis - Process mapping and measurement systems |
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NEW QUESTION # 68
A Belt working in a supply chain environment has to make a decision to change suppliers of critical raw materials for a new product upgrade. The purchasing manager is depending on the Belt's effort requiring that the average cost of an internal critical raw material component be less than or equal to $4,200 in order to stay within budget. Using a sample of 35 first article components, a Mean of the new product upgrade price of
$4,060, and a Standard Deviation of $98 was estimated. In order to increase the Long Term Z value to 4, what is the maximum long term variation in pricing the Belt can accept for his upgraded critical raw material component?
Answer: A
NEW QUESTION # 69
SPC Charts are used extensively in different business and decision-making environments. In this example a vendor is being selected based on speed of delivery. Which of the conclusions would help you pick a vendor for your needs regarding lead-time of delivery from your vendors? (Note: There are 4 correct answers).
Answer: A,B,C,E
NEW QUESTION # 70
The following table shows the sales rates and respective salaries for members of a team.
Which of the following descriptions accurately represents the correlation between sales rate and salary for the entire team?
Answer: A
Explanation:
The correct answer is C. Positive . The table shows that, in general, as salary increases , the average sales rate also tends to increase. For example, lower salaries such as 1.2 are associated with lower sales rates such as 0.23 , while higher salaries such as 4.3 are associated with higher sales rates such as 0.33 . This indicates an upward relationship between the two variables.
The CSSBB source explains that a scatter diagram and the correlation coefficient r are used to examine the relationship between two variables. It states that a positive value for r implies that the line slopes upward to the right , meaning as X increases, Y generally increases. That description fits this table. The relationship is not perfect, but it is clearly not negative, and it is stronger than "no correlation." Therefore, the best description from the choices provided is positive correlation .
This is consistent with CSSBB Analyze-phase methods for measuring relationships between variables. Thus, option C is the verified answer.
NEW QUESTION # 71
A bottle-filling operation is required to fill glass bottles with 16-17 ounces per fill. Fill levels are normally distributed. When a customer requested a process capability study, the company sampled 4 bottles every half hour over five 8-hour shifts. The mean fill level for this sample was X# = 16.4 and the fill range was 15.9-
16.8 with R# = 0.6. What is the short-term process capability index for this process?
Answer: A
Explanation:
The correct answer is B. 0.46 . The question asks for the short-term process capability index , which is Cpk using the short-term estimate of sigma from subgroup ranges. The CSSBB material gives the capability-ratio form for Cpk as the minimum of the upper and lower side calculations, and it also shows that approximate short-term sigma can be estimated from an X#-R chart as ## = R# / d2 . For subgroup size n = 4 , the CSSBB control-chart factors table gives d2 = 2.059 .
So,
## = 0.6 / 2.059 # 0.291
Now calculate Cpk :
Upper side:
(USL # X#) / 3# = (17 # 16.4) / (3 × 0.291) # 0.687
Lower side:
(X# # LSL) / 3# = (16.4 # 16) / (3 × 0.291) # 0.458
Take the minimum:
Cpk # 0.46
This matches option B . Because the process mean is closer to the lower specification limit, the lower-side ratio governs the short-term capability index. Therefore, the verified answer is 0.46 .
NEW QUESTION # 72
A Factorial Experiment based on a Level 2 Design with 6 factors would require 16 runs to fully assess the interactions.
Answer: B
NEW QUESTION # 73
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