Review Flashcards

1
Q

Author of Quality is Free; known for the 4 cardinal rules of quality management

A

Philip Crosby

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2
Q

1st President of the American Society for Quality; inspector at Bell Telephone Laboratories

A

George D. Edwards

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3
Q

Father of quality control; created 14 points for management

A

W. Edwards Deming

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4
Q

Known for the 9 M’s of quality

A

Feigenbaum

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5
Q

Emphasized quality control always be considered from the perspective of the customer

A

Juran

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6
Q

Wrote, ‘Design of Experiments;’ advocate of quality in Japan

A

Taguchi

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7
Q

Main promoter of quality in Japan

A

Ishikawa

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8
Q

Standard Deviation

A

The amount of variation between the members of the data set

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9
Q

Employee of Toyota credited with creating Lean

A

Taiichi Ohno

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10
Q

3 areas of Lean

A

transparency, velocity, and value

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11
Q

Velocity

A

Interval between a customers order and the delivery of the good or service

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12
Q

Kaizen Definition

A

small continuous improvements that come from the insights of lower level employees rather than executives

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13
Q

Kaizen Goal

A

Create continuous flow through the organization

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14
Q

System that means each activity in a process should receive only the necessary materials and resources when subsequent activities are demanding the process be completed

A

Pull

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15
Q

Ultimate goal of continuous improvement

A

perfection

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16
Q

5 Steps of a Kaizen Event

A

Train employees on Kaizen, define the problem, brainstorm solutions, agree on a solution, and implement

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17
Q

One of the most common critical metrics; duration required for the completion of a defined process

A

Cycle Time

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18
Q

Identifies areas of a process that significantly raise expenses

A

Critical-to-cost-metrics

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19
Q

The amount of completed product divided by the amount of product that began the process

A

Yield

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20
Q

Difference between perfection and reality

A

Scrap Rate

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21
Q

If a process has a Yield of 95%, what is the scrap rate?

A

5%

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22
Q

Average % of units with no defects

A

Throughput Yield

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23
Q

Comparison with a competitor or industry leader

A

Benchmarking

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24
Q

Specific comparison with a similar process in another business that might otherwise be quite different

A

Functional Benchmarking

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25
Q

A cooperative information-sharing program involving at least two businesses

A

Collaborative benchmarking

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26
Q

5 phases of benchmarking

A

planning, analysis, integration, action, and maturity

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27
Q

4 categories of the balanced scorecard

A

financial, customer, internal, and innovation

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28
Q

Metrics monitored by the entire organization to ensure that a strategic plan is being followed

A

KPI’s aka Key Performance Indicators

29
Q

The difference between the current worth of cash inflows and the current worth of cash outflows

A

Net Present Value

30
Q

System for ranking non-objective data; used to create consensus or agreement in groups

A

NGT (Nominal Group Technique)

31
Q

Diagram which organizes a collection of issues, problems, or ideas so they may be used effectively

A

Affinity Diagram

32
Q

Breaks down a process into its component tasks with special emphasis on potential problems and solutions

A

Process decision program chart (PDPC’s)

33
Q

System for ensuring that customer requirements are aligned with product and process requirements

A

QFD (Quality Function Deployment)

34
Q

Kano Model Axis’s

A

X= quality and Y=satisfaction

35
Q

Used to identify everything critical that must be done to maintain a project’s timing

A

Gantt Chart

36
Q

Used to determine the most useful ways to improve cycle time during analyze phase

A

Process Cycle Efficiency

37
Q

Used during the analyze phase to depict the movement of resources, materials, or personnel throughout the organization

A

Spaghetti Diagram

38
Q

Distinct measurement which indicates how many times something occurs but not the degree to which it occurred

A

Attribute Data

39
Q

A type of sampling that occurs when the population is divided into groups and a sample is taken from each group

A

Stratified Data

40
Q

Used in the measure phase to to assess the accuracy of a measurement system within the range of values likely to be observed during the process

A

Linearity Analysis

41
Q

Theoretical branch of metrology; develops quantity systems, unit systems, and new methods of measurement

A

Scientific Metrology

42
Q

Branch of metrology that uses the measurement systems in manufacturing and other processes; known to be more practical

A

Applied Metrology

43
Q

Common tool for assessing measurement uncertainty is the ______

A

ANOVA - Analysis of variance gauge repeat ability and reproducibility

44
Q

Used when the true distribution of a population is unknown; asserts that the probability distribution of the sample means will approach a normal distribution as the number of sample increases

A

Central Theorem Limit

45
Q

Graphs used for comparison of summary data from numerous data sets; horizontal and vertical accesses; upper and lower limits shown

A

Box-Whisker Charts

46
Q

Diagram used to investigate the correlation between two variables

A

Scatter Diagram

47
Q

Graphs created by organizing the data from least to greatest; horizontal line is for data values and vertical is for number of observations

48
Q

Type of statistics used for evaluating random samples of populations

A

Enumerative statistics

49
Q

Type of statistics that can provide information about processes in action

A

Analytical statistics

50
Q

Assessment of the time required to complete each step in a manufacturing process

51
Q

Formula for achieving Takt Time

A

dividing the total amount of time available to work by the number of units required each day

52
Q

A binomial distribution only applies when….

A

trails are independent and the number of samples in the population is fixed

53
Q

Distribution which can guess the number of time a particular condition will occur for a given process or population

A

Poisson distribution

54
Q

Distributions appropriate fr continuous data with a set lower boundary, usually zero, and no upper boundary

A

Weibull Distributions

55
Q

Distribution appropriate for continuous data on which neither normal nor an exponential distribution may be used

A

Johnson distributions

56
Q

Four primary parameters of statistical distributions

A

central tendency, skewness, standard deviation, and kurtosis

57
Q

Quantifies the ability of a process to meet the expectations of customers and other stakeholders; assures the process is in control

A

Process Capability Index

58
Q

Indicates the percentage of samples that will contain the true population mean, also known as (mu)

A

Confidence Interval

59
Q

System for identifying when independent variables are influenced by one or more dependent variables

A

Regression Analysis

60
Q

Multiple regression analysis must be used if…..

A

More than one factor influences a dependent variable

61
Q

Difference between a response’s observed value and a regression model’s predicted value for that response

62
Q

Control charts designed to handle attribute data; they depict the % of samples that have a particular condition in situations where sample sizes may vary and each sample may have more than once occurrence

63
Q

The value that the test aspires to prove

A

Null Hypothesis

64
Q

Tests to indicate whether a chose statistical test can provide an accurate and relevant measure

A

Goodness-of-fit-test

65
Q

3 examples of goodness-of-fit tests

A

chi square, anderson-darling, and K-S

66
Q

Tests that do not require statistical normality or any other quality to be valid; disadvantage is that they require a large sample size

A

Nonparametric tests

67
Q

Used to identify extremely risky processes or failures

68
Q

Form of a bar graph in which problems are ranked according to their urgency

A

Pareto Chart

69
Q

Japanese word for ‘wasteful or unproductive activity’