Analyse Flashcards

1
Q

Which of the following is not one of the factors on a Cause & Effect or Ishikawa Diagram?

a) Money
b) Methods
c) Man/People
d) Measurements

A

a) Money

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2
Q

The RPN we calculate when using an FMEA helps us to:

a) Identify and fix all failure modes
b) Identify the Rating Priority Number
c) Determine the effectiveness of the control
d) Identify the key risks to mitigate or solve

A

b) Identify the Rating Priority Number

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3
Q

FMEA is a structured approach to:

a) Identify ways in which a product, service or process can fail
b) Estimates the risk associated with specific failure modes
c) Prioritise actions to reduce the risk of failure
d) All of the above

A

d) All of the above

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4
Q

Which of the following is incorrect in relation to problem solving?

a) You usually find more than one root cause
b) Technical experts are the best problem solvers
c) Asking “was the standard work process followed?” is a good place to start
d) 5whys is a tool to identify root causes

A

b) Technical experts are the best problem solvers

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5
Q

Briefly describe the 5 Whys technique

A

A questioning technique to continue asking “why” to try and understand the root cause/s of a problem. The questioning should continue until you can no longer come up with another ‘why’. This may be more or less than 5 questions.

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6
Q

What is a bottleneck or constraint in a process?

A

A bottleneck or constraint in a process is a step that is limiting greater throughput. You may have extra capacity either side of the ‘bottleneck’ but this cannot be realised until the ‘bottleneck’ is removed or reduced. By focusing on the one section of a process, the bottleneck, rather than the whole value stream, you can improve the output over the entire process.

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7
Q

What is the difference between push and pull systems?

A

A pull production system is one that limits the amount of work in process that can be in the system. Whereas a push production system has no limits except physical space. ‘Pull’ relies on producing only enough product to satisfy demand, Just in Time stocking, whereas Push potentially produces to capacity limits irrespective of demand, Just in Case stocking.

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8
Q

Which one of these is not a benefit of pull?

a) It prevents overproduction
b) It encourages just in case stocking
c) It enables on time delivery
d) It helps the management of work in progress

A

b) It encourages just in case stocking

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9
Q

Which of the following statements best describes pull?

a) Decreased work in progress
b) Only what is needed is performed or made at the time it is needed
c) Decreased management complexity through reducing the need for forecasting
d) Operations respond better to changes in customer demand

A

b) Only what is needed is performed or made at the time it is needed

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10
Q

What are four of the big or little questions you need to answer in the Analyse phase?

A

What are the potential causes of the problem?
How do you know these are the root causes?
What is the list of validated root causes?
What is the business impact?

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11
Q
A fishbone diagram helps to identify:
A	Direct Causes
B	Potential Solutions
C	Effect of problems
D	Potential benefits
E	All of the above
A

A Direct Causes

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12
Q
When is a FMEA used?
A	Diagnosing controls
B	Analysing effects of changes to process steps
C	Controlling existing processes
D	Before piloting new processes
E	All of the above
A

E All of the above

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13
Q
The Risk priority number in an FMEA exercise is derived from:
A	severity x occurrence x risk
B	Severity x occurrence x control
C	occurrence x detection x control
D	severity x occurrence x detection
E	None of the above
A

D severity x occurrence x detection

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14
Q
DMAIC thinking is used in:
A	DMAIC projects
B	Kaizen events
C	IT projects
D	Business as usual
E	All of the above
A

E All of the above

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15
Q
Which of the following is not one of the 8 wastes in DOWNTIME? 
A   Over Production
B   Time
C   Motion
D   Inventory
E   Defects/Rework
A

B Time

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16
Q

+/- 3 standard deviations from the mean covers how much of the data in a normal bellcurve?

A 68.26%
B 95.46%
C 99.73%
D 100%

A

C 99.73%

17
Q

Explain what a histogram is.

A

Histograms separate the data into appropriate intervals (sometimes called bins) on the x-axis. The height of the bar drawn at each interval is determined by the number of data points that fall within that interval.
They can be used to describe the spread of data, compare to the normal curve and help look for skews in the data.

18
Q

What is the equation to calculate the upper whisker in a box and whisker plot?

A

Q3+1.5(Q3-Q1)

The third quartile plus 1.5 times the inter-quartile range

19
Q

What does the bottom and top edges of the box represent in a box and whisker plot?

A

Bottom edge - 25th Percentile

Top Edge - 75th Percentile

20
Q

What type of data is required for a scatterplot?

A

Continuous data for both the x and y axis

21
Q

Explain what a Run Chart is.

A

The run chart is a time series plot describing the pattern of a variable over time. The data must be continuous, consisting of samples collected at regular intervals over a period of time. The chart will tell you if there are any trends (improvement or deterioration) over time.

22
Q

Explain what a Pareto Chart is.

A

A Pareto chart is used to demonstrate the ‘Pareto Effect’ or ‘80/20 Rule’. It displays categories of attribute data with the most frequently occurring attribute first, then working down to the least frequently occurring attribute. The second Y-axis provides a measure of the percentage of all observations accounted for by a given attribute category and all of those to its left. This is indicated by the cumulative frequency line.

23
Q

What is a cause and effect matric and what can we use it for?

A

Cause & Effect Matrix is a tool used to prioritise and rank potential key process inputs (causes) based on their impact on customer outputs (effect)
It is used to decide where to focus improvement efforts for the highest impact

24
Q

What are the three types of t-tests explained in the Green Belt JITs?

A

Compare a Mean against a target. (eg SLA or customer expectations)
Compare Means from two different samples. (eg compare team one vs team two)
Compare paired data. (eg before and after an improvement).

25
Q

What tool can we use to compare more than 2 means at once?

A

Analysis of Variance (ANOVA) extends the two sample t-test for testing the equality of two population Means to a more general null hypothesis of comparing the equality of more than two Means, versus them not all being equal.

26
Q

What statistical tests can we use to compare proportions?

A

1 Proportion test (compare against a target)
2 Proportion test (compare 2 sample proportions)
Chi-Square test (compare more than 2 sample proportions)

27
Q

What is correlation?

A

Correlation is a measure of the strength of association between two continuous variables

EG
Correlation: Staff on Duty, Sales
r value of Staff on Duty and Sales = 0.978

28
Q

What is regression?

A

Regression provides an equation describing the nature of relationship.

EG
Regression Analysis: Sales versus Staff on Duty
The regression equation is Sales = - 4711 + 10.1 Staff on Duty