CH 10: Statistical Quality Control Flashcards

1
Q

Statistical Quality Control

A

uses statistical techniques and sampling to monitor and test the quality of goods and services

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2
Q

Acceptance Sampling

A

part of statistical quality control that relies primarily on inspection of previously provided service or produced items

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3
Q

Statistical Process Control

A

part of statistical quality control that occurs during production

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4
Q

Inspection

A

appraisal activity that compares quality of good or service standard

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5
Q

When can inspection occur?

A

before, during, or after production

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6
Q

what does inspection before production make sure?

A

that inputs are acceptable

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7
Q

what does inspection during production make sure?

A

conversion of inputs into outputs is proceeding in an acceptable manner

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8
Q

what is inspection after production?

A

final verification of conformance before passing goods on to customers

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9
Q

what planning steps do effective statistical process controls require?

A
  1. define the important quality characteristics, and how each is measured
  2. for each characteristic: determine quality control point; plan how inspection is to be done, how much to inspect, how often to inspect, and whether off-site or on-site inspection is required; plan corrective action
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10
Q

defining the quality characteristics

A
  • define in sufficient detail, what is to be controlled
  • different characteristics may require different approaches for control purposes
  • only those that can be measured are candidates for control
  • it is important to consider how measurement will be accomplished
  • there must be a standard that can be used to evaluate
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11
Q

determining quality control point

A
  • important to restrict inspection efforts to the points where they can do the most good (adds to the cost of product)
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12
Q

inspection points in manufacturing

A
  • at beginning of process
  • at end of process
  • before a costly operation
  • before an irreversible process
  • before a covering process
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13
Q

inspection points in service

A
  • incoming purchased materials and supplies
  • personnel
  • service interfaces
  • outgoing completed work
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14
Q

how is inspection to be done

A

usually technical and varies depending on the characteristics of the product or service that needs to be controlled

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15
Q

how much to inspect

A

range from no inspection at all or inspect each unit

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16
Q

how often to inspect

A

low cost, high volume products require very little inspection

items that have large costs associated with passing defective products often require more intensive inspection

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17
Q

centralized inspection

A

specialized equipment and more favourable test environment

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18
Q

on-site inspection

A

allow quicker decisions to be made and avoiding introducing extraneous factors

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19
Q

statistical process control (SPC)

A

concerned with statistical evaluation of the product in the production process

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20
Q

random variation

A

natural or inherent process variation in process output

  • due to combined influences of countless minor factors
  • amount of inherent variability differs from process to process
  • no corrective action is required when the only source of variation in output is random
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21
Q

assignable variation

A

variability in process that is no random

  • main source of assignable variation can usually be identified and eliminated through corrective action
22
Q

sample statistics

A

used to judge randomness of process variations

23
Q

what is the variability of a sample statistic described by

A

its sampling distribution

24
Q

central limit theorem

A

as the sample size increases, distribution of sample averages approaches a normal distribution regardless of shape of the sampled population

25
Q

control process

A
  1. define: in sufficient detail what is to be controlled
  2. measure: only characteristics that can be counted or measured
  3. compare: must be a standard of competition that can be used to evaluate the measurements
  4. evaluate: established definition of out of control
  5. correct: process that is judged to be out of control
  6. monitor: results to ensure corrective action is effective
26
Q

control charts definition

A

time-ordered plot of sample statistics, with limits and used to distinguish between random and assignable variation

27
Q

what do control charts do

A
  • monitor output to see if it is random
28
Q

what is a necessary condition for a process to be deemed in control

A

all data points must fall in between upper and lower control limits

29
Q

control limits

A

define the range of acceptable variation for the sample statistic (upper and lower limit)

30
Q

what does a sample statistic that falls between the two limits suggest

A

random variation

31
Q

what does a sample statistic that falls outside the two limits suggest

A

assignable variation

32
Q

type I error

A

concluding that the process has shifted when in reality it has not

= alpha (significance level)

33
Q

type II error

A

concluding the process has not shifted when in reality is has

34
Q

variable data

A

measured, usually on a continuous scale

35
Q

attribute data

A

counted

36
Q

sample mean control charts

A

used to monitor the process mean

37
Q

sample range control charts

A

used to monitor process dispersion or spread

38
Q

p-chart

A

control charts for the sample proportion of defectives, and is used to monitor the proportion of defective items generated by the process

39
Q

c-chart

A

control chart for the sample number of defects per unit

40
Q

managerial considerations concerning control charts

A
  1. at what point in the process to use control charts
  2. what size samples to take
  3. what type of control chart to use
  4. how often samples should be taken
41
Q

run test

A

check for patterns in a sequence of observations

42
Q

what does a run test enable

A

better job of detecting abnormalities in a process and provides insights correcting a process that is out of control

43
Q

run

A

sequence of observations with a certain characteristic, followed by one or more observations with a different characteristic

44
Q

how are control charts and run tests used

A

ideally, both together to analyze process output, along with a plot of the data

45
Q

procedure of using a control chart and run test

A
  1. compute control limits for the process output
  2. conduct median and up/down run tests
46
Q

design specification

A

established by engineering design or customer requirements, is a range of values in which individual units of output must fall in order to be acceptable

47
Q

process variability

A

reflects the natural or inherent variability in a process

48
Q

process capability

A

ability of a process to meet the design specification

49
Q

capability analysis

A

performed on a process that is in control for the purpose of determining if the range of variation is within design specification that would make the output acceptable for its intended use

50
Q

process capability ratio

A

ratio of the design specification width to the process width

51
Q
A
52
Q
A