Ch. 6 Flashcards

1
Q

Statistical Process Control

A

inspecting a random sample to determine if it produces products within a predetermined range

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2
Q

Two causes of Variation

A

common and assignable

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3
Q

Ex. of Common Variation

A

slight differences in materials, workers, machines, tools, and other factors

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4
Q

Common Variation

A

random, unidentifiable

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5
Q

Assignable Variation

A

identifiable, can be eliminated

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6
Q

Out of control

A

when a plot of data falls outside the preset control limits

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7
Q

Control chart for Variables

A

used to monitor characteristics that can be measured and have a continuous scale

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8
Q

Control chart for Attributes

A

used to monitor characteristics that have discrete values and can be counted

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9
Q

Process width when computing the process capability index?

A

6

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10
Q

Acceptance Sampling is done when?

A

done before or after the process

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11
Q

Acceptance Sampling

A

process of randomly inspecting a certain number of items from a batch to know if the entire batch should be accepted or rejected

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12
Q

Why have services lagged behind manufacturing in statistical process control?

A

it is difficult to measure the quality of a service

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13
Q

The issue that complicates service quality control?

A

the presence of the customer at time of service delivery

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14
Q

Six Sigma Quality

A

3.4 million

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15
Q

X-bar chart

A

control chart used to monitor changes in the mean value

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16
Q

Statistical process control (SPC)

A

inspects a random sample of the output of the process and decides whether the process is producing within the characteristics and range given

17
Q

Statistical quality control (SQC)

A

general category of statistical tools to evaluate organizational quality

18
Q

Sampling plan

A

precisely specifies the parameters of sampling process with acceptance/rejection criteria

19
Q

Range (R) chart

A

control chart that monitors changes in the dispersion of a process

20
Q

Producers risk

A

chance that a lot containing an acceptable quality level will be rejected

21
Q

P-chart

A

monitors the proportion of defects in a sample

22
Q

Operating Characterize (OC) Curve

A

graph that shows the probability of accepting a lot given various proportions of defects in a lot

23
Q

Lot Tolerance Percent Defective (LTPD)

A

upper limit of percentage of defective items consumers are willing to tolerate

24
Q

Consumer Risk

A

chance of accepting a lot that contains a greater number of defects than the LTPD limit

25
C-chart
monitors the number of defects per unit
26
Average Outgoing Quality (AOQ)
expected proportion of defective items that will be passed to the customer under the sampling plan
27
Attribute
characteristic that has a discrete value and can be counted