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
Q

C-chart

A

monitors the number of defects per unit

26
Q

Average Outgoing Quality (AOQ)

A

expected proportion of defective items that will be passed to the customer under the sampling plan

27
Q

Attribute

A

characteristic that has a discrete value and can be counted