Six Sigma | Chapter 7 - DMAIC, Analyze Flashcards

1
Q

In DMAIC, for Analyze, what are the Inputs of the methodology?

A
  1. Well-Defined Processes
  2. Baseline Process Capabilities
  3. Process parameters affecting CTQ
  4. Cost of Poor Quality (COPQ)
  5. Measurement Systems
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2
Q

In DMAIC, for Analyze, what are the Outputs of the methodology?

A
  1. Important Causes of Defects
  2. Special and Common Causes of Variation
  3. DPMO and Sigma Level
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3
Q

In DMAIC, for Analyze, what are the Tools of the methodology?

A
  1. Ishikawa Diagrams
  2. Failure Mode & Effects Analysis
  3. Hypothesis Testing
  4. Process Capability Study
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4
Q

In DMAIC, for Analyze, within Tools who developed the Ishikawa Diagrams and when?

A

Developed by Kaoru Ishikawa in 1960’s

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5
Q

In DMAIC, for Analyze, what are the objectives of the analyze phase?

A

In Analyze phase, our objectives are:

  1. Doing analysis of present system
  2. Analyzing whether the present system can be further improved
  3. Determining the failure points for the proposed changes
  4. Determining major milestones and risks in successfully completing the project
  5. Analyzing how the process capability would improve if suggested changes are made.
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6
Q

In DMAIC, for Analyze, within Tools what are other names for Ishikawa Diagrams?

A

Ishikawa diagrams are also referred to as cause-and-effect or Fishbone diagram

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7
Q

In DMAIC, for Analyze, within Tools what does the Ishikawa Diagrams represent?

A

This is a graphic representation of possible causes for any particular problem under study.

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8
Q

In DMAIC, for Analyze, within Tools what are the benefits of Ishikawa Diagrams?

A

Benefits of Ishikawa diagram

  1. Usually created by a group of people who have knowledge of the process and understand the problems in the present system.
  2. Is a very powerful tool to organize and graphically display all the knowledge the team has about a particular problem
  3. Clarifies the understanding the team has regarding the process. If an Ishikawa diagram does not show appropriate level of detail, it indicates that the team has a superficial knowledge of the problem. Hence, additional study of the system or involvement of Subject Matter Experts is required.
  4. Is a starting point to determine the Vital X’s that impact the customer’s critical to quality variable : Y. (Details about Y and Vital X’s as defined in the chapter 2: Stakeholders, customers and financial measures)
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9
Q

In DMAIC, for Analyze, within Tools what are the steps to create Ishikawa Diagrams?

A

Steps involved in creation of Ishikawa diagram:

  1. Create a process map of the existing system (Process Maps discussed in Chapter 4: Six sigma methodology - Define)
  2. Define the problem to be solved. This could be a critical requirement or Y variable. (Discussed in chapter 2: Stakeholders, customers and financial measures)
  3. Put a team together who have good knowledge of the process and understand the problems involved with the process
  4. Conduct a brainstorming or Nominal Group Technique session (Discussed in chapter 3: Setting up and managing a six sigma project). In the session, determine all the causes of the problem.
  5. Categorize the causes identified into groups and subgroups. A popular way to do this is through using Affinity diagrams (Discussed in chapter 3: Setting up and managing a six sigma project).
  6. Once groups and subgroups are available, create an Ishikawa diagram using 3 steps:

6A. Draw a box on the far right side where the problem under consideration is written down.

6B. Draw a horizontal arrow which points to the box on the right

6C. Write the names of categories above and below the horizontal line. Start with high level groups and expand each group (up to 3 or 4 levels). Write down the detailed cause data for each category.

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10
Q

In DMAIC, for Analyze, within Tools what does FMEA stand for?

A

Failure Modes and Effects Analysis

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11
Q

In DMAIC, for Analyze, within Tools who developed FMEA and when?

A

Failure Mode and Effects Analysis (FMEA) was formally used in the Airlines industry in 1960’s.

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12
Q

In DMAIC, for Analyze, within Tools what are the benefits of FMEA?

A

FMEA is a tool to:

  1. Identify effects or consequences of a potential product or process failure
  2. Identify methods to eliminate or reduce the chance of a failure occurring
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13
Q

In DMAIC, for Analyze, within Tools what other tools are used to create a FMEA?

A

Information from Process Map, Ishikawa Diagram and QFD are used in creation of FMEA

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14
Q

In DMAIC, for Analyze, within Tools what are the steps to complete in FMEA analysis?

A

FMEA Analysis Steps:

  1. Identify Potential failure modes
  2. Identify Potential failure effects
  3. Determine the severity rating for the effect
  4. Identify potential causes
  5. Determine the occurrence rating
  6. Perform Null hypothesis (optional)
  7. Determine P-value (optional)
  8. Describe Current Controls
  9. Determine the Detection Rating
  10. Calculate Risk Priority Number (RPN)
  11. Determine corrective action to be taken
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15
Q

In DMAIC, for Analyze, within Tools what is Identify Potential failure modes in FMEA analysis?

A

Identify Potential failure modes: Failure modes are physical description of a failure. (e.g. let us consider a case study where the manufacturing department in our company has manufactured an ear thermometer which is used to register body temperature via the ear canal. So, one potential failure mode is “Thermometer not working properly.”)

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15
Q

In DMAIC, for Analyze, within Tools what steps are optional in FMEA analysis?

A
  1. Perform Null hypothesis (optional)
  2. Determine P-value (optional)
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16
Q

In DMAIC, for Analyze, within Tools what is Identify Potential failure effects in FMEA analysis?

A

Identify Potential failure effects: Failure effects are the impact of failure on the customer i.e. the “Y” variable (e.g. However, the thermometer registers wrong temperature than the actual temperature of the patient. So, the potential failure effect here is “Wrong Temperature registered.”) Please note that there could be more than one potential failure effect or Y variable.

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17
Q

In DMAIC, for Analyze, within Tools what is Determine the severity rating for the effect in FMEA analysis?

A

Determine the severity rating for the effect: Severity is a rating corresponding to the seriousness of an effect. This is done in a scale from 1 to 10: 1: failure has least impact, 10: failure has maximum impact. (e.g. the team decides that measuring of wrong temperature is a very critical issue and hence assigns a severity rating of 9)

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18
Q

In DMAIC, for Analyze, within Tools what is Identify potential causes in FMEA analysis?

A

Identify potential causes: These are the low level bones of the Ishikawa diagram. They correspond to the Vital X’s or root causes for the problem identified. (e.g. it was determined that a failure cause for the problem is that thermometer was not calibrated properly). Please note that for each effect, there could be more than one potential failure cause. Similarly there could be multiple effects for each failure cause.

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19
Q

In DMAIC, for Analyze, within Tools what is Perform Null hypothesis in FMEA analysis?

A

Perform Null hypothesis (optional): This will be covered in detail in a black belt course. A null hypothesis is used to determine if there was any difference between the failure modes (e.g. in this case, the null hypothesis would be “There is no difference between calibration scales of thermometers”)

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20
Q

In DMAIC, for Analyze, within Tools what is Determine the occurrence rating in FMEA analysis?

A

Determine the occurrence rating: Occurrence is a rating scale of the possibility that a failure effect and its corresponding failure cause will occur in the current system. This is done in a scale from 1 to 10: 1: failure very unlikely, 10: failure certain. (e.g. the team decides that measurement of wrong temperature due to wrong calibration of thermometer has a low occurrence and assign it a value of 4)

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21
Q

In DMAIC, for Analyze, within Tools what is Determine P-value in FMEA analysis?

A

Determine P-value (optional): This will be covered in detail in a black belt course. This represents the probability of making an incorrect decision by rejecting a true null value. (e.g. in this example, the p-value was determined to be 0.04)

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22
Q

In DMAIC, for Analyze, within Tools what is Determine the Detection Rating in FMEA analysis?

A

Determine the Detection Rating: The detection rating corresponds to the probability that current controls would be able to detect potential failure modes before the product is released to the customer. This is done in a scale from 1 to 10: 1: will detect failure, 10: almost certain that will not detect failure. (e.g. in this case, the team decides that there is a very low probability that current controls will detect error - hence they provide a low detection rating of 8)

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23
Q

In DMAIC, for Analyze, within Tools what is Describe Current Controls in FMEA analysis?

A

Describe Current Controls: The team determines and describes the controls which are in place to ensure that the failure mode does not occur before the product goes out to the customer (e.g. in this case, random trials on thermometers on small samples is done to find out if some thermometers do not register temperature accurately)

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24
Q

In DMAIC, for Analyze, within Tools what is Calculate Risk Priority Number (RPN) in FMEA analysis?

A

Calculate Risk Priority Number (RPN): RPN is a quantitative measure of the areas of greatest concern. It is calculated as:

RPN = Severity Rating * Occurrence Rating * Detection Rating

(e.g. in this example, RPN = 9 * 4 * 8 = 288)

25
Q

In DMAIC, for Analyze, within Tools what is Determine corrective action to be taken in FMEA analysis?

A

Determine corrective action to be taken. Please note that corrective action has to be taken in the following cases:

  1. Severity Rating is very high (e.g. 8, 9 or 10). So, failure has very high impact on the customer e.g. in this case, severity rating is 9 and we know that corrective action must be taken to handle the potential failure effects
  2. RPN is very high : RPN identifies areas of greatest concern. So, it is a good indication of which effect needs to be corrected and also identifies the important causes that need to be fixed in order to take care of the effect.
26
Q

In DMAIC, for Analyze, within Tools when is hypothesis testing required?

A

Hypothesis testing is required when decisions are made about a population using sample data.

27
Q

In DMAIC, for Analyze, within Tools what is the benefit of hypothesis testing?

A
  1. Uses statistics to help quantify the risks associated assigned to making specific decisions.
  2. It helps us determine the confidence level that the decision we are making about a small sample would apply to the whole population. (for example, opinion polls about who would win a particular election are done from a small sample of people. However, the information got from the sample is then extrapolated to the whole population of voters to give an indication of which candidate would win the election.
  3. Hypothesis testing would provide us with a confidence level that our opinion poll is accurate. It will also help us determine the margin of accuracy for the poll).
28
Q

In DMAIC, for Analyze, within Tools how is a hypothesis test conducted?

A
  1. Determine the null hypothesis (Ho ) - this is something we assume to be true unless proved otherwise.
  2. We then decide whether to reject the null hypothesis in favor of the alternate hypothesis (Ha ).
  3. The alternate hypothesis (Ha) is opposite to the null hypothesis (Ho) e.g. in the case study we discussed earlier,

Ho: There is no difference in calibration scales for thermometers

Ha: There is a difference in calibration scales

Since the decision is based on sample available, there is always a potential that we may make one of the 2 types of errors:

  1. Type I error: Error of rejecting the null hypothesis when it is true. Probability of getting a Type I error is denoted by œ (Alpha)
  2. Type II error: Error of accepting the null hypothesis when it is false. Probability of getting a Type II error is determined by ß (Beta)
  3. Use the appropriate statistical test for hypothesis testing. Some important tests used are t-tests, chi-square tests and two proportion tests.
  4. If the hypothesis testing determines that null hypothesis Ho was true, the team will know that their analysis was statistically valid. They can go ahead with
  5. If the hypothesis testing determines that results were not significant, then the team would have to do further analysis to determine root cause of problem.
29
Q

In DMAIC, for Analyze, within Tools what is process capability study?

A

Process capability is the extent to which any stable process is able to meet specifications.

30
Q

In DMAIC, for Analyze, within Tools what are used to create control charts?

A

Run charts are used to create control charts.

31
Q

In DMAIC, for Analyze, within Tools how is process data visualized in a process capability study?

A

When process data is created it is in the form of a histogram.

32
Q

In DMAIC, for Analyze, within Tools how are control charts used?

A

They are used in process capability study to find out whether a process is stable over time and over several events. Special causes of variation are determined and steps taken to ensure that the variation is minimized.

33
Q

In DMAIC, for Analyze, within Tools what are used to create USL and LLS?

A

Voice of the customer is used to determine the USL (Upper Specification Limit) and LSL (Lower Specification Limit). This is compared with the process level for the existing process.

34
Q

In DMAIC, for Analyze, how do you determine which sigma quality level to select after determining the DPMO?

A

Choose the lowest level it is above. This means there are more DPMO than that level.

For example, a DPMO of 9180, we know that the sigma level for the process is more than 4 sigma (i.e. 4).

Because Sigma Quality Level 4 is DPMO 6210 and Sigma Quality Level 3 is DPMO 66810

35
Q

In DMAIC, for Analyze, improvement in process capability is possible by decreasing what?

A

Decreasing the variation (or spread) around the center.

36
Q

In DMAIC, for Analyze, if there is less “spread” in process capability what does this mean?

A

If there is less spread, more measurements are closer to target and fewer are out of specification.

37
Q

In DMAIC, for Analyze, if a process capability is more “capable” what does this mean?

A

This is because the process has less spread and measurements are closer to the center.

This indicates a higher sigma level

This indicates lower DPMO

38
Q

T/F | As sigma increase DPMO increases.

A

FALSE. As sigma levels increase DPMO decrease.

39
Q

In DMAIC, for Analyze, for Outputs what do we use to get to know the important causes of defects?

A

Using FMEA

Using cause-and-effect diagrams

40
Q

In DMAIC, for Analyze, for Outputs what do we use to quantify defects?

A
  1. Severity rating
  2. Occurrence Rating
  3. Detection Rating
  4. RPN
41
Q

In DMAIC, for Analyze, for Outputs what is used from the outputs to form the inputs of the next six sigma phase?

A
  1. Severity rating
  2. Occurrence Rating
  3. Detection Rating
  4. RPN

This then forms an input in the Improve phase of six sigma.

42
Q

In DMAIC, for Analyze, for Outputs what do we use to identify special and common causes of variation?

A
  1. Run charts
  2. Control Charts
  3. Study of Process Capability
43
Q

In DMAIC, for Analyze, for Outputs what is common cause variation?

A

Common cause: These are inherent in the process and can be predicted within reasonable limits

44
Q

In DMAIC, for Analyze, for Outputs what is special cause variation?

A

Special cause: These variations may be caused because of extraneous or unexpected reasons. Special cause of variations cannot be predicted.

45
Q

In DMAIC, for Analyze, for Outputs what should we target to do with special and common causes of variation?

A

In a six sigma project, we should target to eliminate Special cause of variation and minimize common cause of variation.

46
Q

In DMAIC, for Analyze, for Outputs what do we use to calculate DPMO and the sigma level of processes?

A

As discussed earlier in the chapter, use of process capability study will help us in calculating the DPMO (Defective Parts per Million) and the sigma level of the process.

This helps us in benchmarking our processes and quality levels with similar processes used by competitors and to identify potential for improvements.

47
Q

All the following are tools to Analysis phase EXCEPT?
1. Special and Common cause of variation
2. Ishikawa diagrams
3. Hypothesis testing
4. FMEA

A
  1. Special and Common cause of variation

Special and common cause of variation is an output to Analysis phase

47
Q

Which of the following is an input to Analysis phase?
1. QFD
2. COPQ
3. Hypothesis testing
4. FMEA

A
  1. COPQ

COPQ(Cost of poor quality) is an input to the Analysis phase of 6 sigma projects

48
Q

Which of the following is an output to six sigma - Analysis phase:
1. Important causes of defect
2. Baseline process capability
3. Hypothesis testing
4. None of the above

A
  1. Important causes of defect

Important causes of defect is an output from six sigma Analysis phase

49
Q

All the following are objectives of Analysis phase Except:
1. Doing analysis of present system
2. Analyzing whether the present system can be further improved
3. Determining major milestones and risks in successfully completing the project
4. Creating run charts

A
  1. Creating run charts

Choice 1, choice 2 and choice 3 are objectives of the analysis phase

50
Q

Information from all the following are used for creation of FMEA except:
1. QFD
2. Process Map
3. Ishikawa Diagram
4. Control chart

A
  1. Control chart

Information from Process Map, Ishikawa Diagram and QFD are used in creation of FMEA

51
Q

A graphic representation of possible causes for any particular problem under study is also referred to as:
1. Fishbone diagram
2. FMEA
3. Hypothesis testing
4. None of the above

A
  1. Fishbone diagram

Developed by Kaoru Ishikawa in 1960`s, Fishbone diagram is a graphic representation of possible causes for any particular problem under study.

52
Q

Which of the following is a tool to identify effects or consequences of a potential product or process failure
1. Fishbone diagram
2. FMEA
3. Hypothesis testing
4. None of the above

A
  1. FMEA

FMEA is a tool to: - Identify effects or consequences of a potential product or process failure - Identify methods to eliminate or reduce the chance of a failure occurring

53
Q

Physical description of a failure is also called:
1. Failure Mode
2. Failure Effect
3. Failure cause
4. Current controls

A
  1. Failure Mode

Failure modes are physical description of a failure. (e.g. let us consider a case study where the manufacturing department in our company has manufactured an ear thermometer which is used to register body temperature via the ear canal. So, one potential failure mode is “Thermometer not working properly.”)

54
Q

Impact of failure on the customer is also called:
1. Failure Mode
2. Failure Effect
3. Failure cause
4. Current controls

A
  1. Failure Effect

Identify Potential failure effects: Failure effects are the impact of failure on the customer i.e. the “Y” variable (e.g. However, the thermometer registers wrong temperature than the actual temperature of the patient. So, the potential failure effect here is “Wrong Temperature registered.”) Please note that there could be more than one potential failure effect or Y variable.

55
Q

Which of the following corresponds to the Vital X’s or root causes for the problem identified:
1. Failure Mode
2. Failure Effect
3. Failure cause
4. Current controls

A
  1. Failure cause

Failure causes: These are the low level bones of the Ishikawa diagram. They correspond to the Vital X’s or root causes for the problem identified. (e.g. it was determined that a failure cause for the problem is that thermometer was not calibrated properly). Please note that for each effect, there could be more than one potential failure cause. Similarly there could be multiple effects for each failure cause.

56
Q

Possibility that a failure effect and its corresponding failure cause will occur in the current system is also called:
1. Failure Mode
2. Occurrence rating
3. Severity rating
4. Detection rating

A
  1. Occurrence rating

Determine the occurrence rating: Occurrence is a rating scale of the possibility that a failure effect and its corresponding failure cause will occur in the current system. This is done in a scale from 1 to 10: 1: failure very unlikely, 10: failure certain. (e.g. the team decides that measurement of wrong temperature due to wrong calibration of thermometer has a low occurrence and assign it a value of 4)

57
Q

Probability that current controls would be able to detect potential failure modes before the product is released to the customer is captured using:
1. Failure Mode
2. Occurrence rating
3. Severity rating
4. Detection rating

A
  1. Detection rating

Determine the Detection Rating: The detection rating corresponds to the probability that current controls would be able to detect potential failure modes before the product is released to the customer. This is done in a scale from 1 to 10: 1: will detect failure, 10: almost certain that it will not detect failure. (e.g. in this case, the team decides that there is a very low probability that current controls will detect error - hence they provide a low detection rating of 8)

58
Q

Rating corresponding to the seriousness of an effect is also called:
1. Failure Mode
2. Occurrence rating
3. Severity rating
4. Detection rating

A
  1. Severity rating

Determine the severity rating for the effect: Severity is a rating corresponding to the seriousness of an effect. This is done in a scale from 1 to 10: 1: failure has least impact, 10: failure has maximum impact. (e.g. the team decides that measuring of wrong temperature is a very critical issue and hence assigns a severity rating of 9)

59
Q

Risk Priority Number is a product of all the following except:
1. Severity Rating
2. Failure Mode rating
3. Occurrence Rating
4. Detection Rating

A
  1. Failure Mode rating

RPN = Severity Rating * Occurrence Rating * Detection Rating

60
Q

When decisions are made about a population using sample data, we should use:
1. Hypothesis testing
2. FMEA Analysis
3. Fishbone diagram
4. None of the above

A
  1. Hypothesis testing

Hypothesis testing is required when decisions are made about a population using sample data.