Block 6 - lecture 1 Flashcards

1
Q

SPC?

A

Statistical Process Control

ie. Xbar, R, np, p, c and u charts

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2
Q

techniques to determine the sample size needed?

A
  • acceptance sampling
  • fixed percentage
  • occasional random checks
  • 100% inspection
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3
Q

sample?

A

a predetermined number of units that are inspected in each lot?

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4
Q

when is a lot accepted?

A

when the number of nonconforming units is measured to be below the acceptance number

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5
Q

N, n and c. What do they stand for in acceptance sampling?

A
N = lot size
n= sample size
c = acceptance number
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6
Q

when is sampling used?

A
  1. destructive test
  2. 100% inspection expensive vs passing a nonconforming unit
  3. many similar units
  4. no quality charts from suppliers
  5. automation not possible
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7
Q

advantages of sampling?

A
  • gives responsibility
  • less expensive
  • less repetitive job
  • applies for destructive testing
  • lots not accepted encourages improvement
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8
Q

disadvantages of sampling?

A
  • risk of accepting nonconforming units
  • needs planning and documentation
  • less data
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9
Q

sampling plan?

A

plan specifying lot size, sample size and acceptance requirement

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10
Q

types of sampling plans?

A
  • single sampling (ie. 1 random sample taken)

- double sampling (another sample is sometimes taken)

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11
Q

What are the symbols for the values in a double sampling plan?

A
N = lot number
n1 = first sample no.
c1 = first acceptance no.
r1 = first nonacceptance no.
n2 = second sample no.
c2 = combined acceptance no.
r2 = combined nonacceptance no.
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12
Q

aspects of lot formation that can affect sampling accuracy?

A
  • different machine used
  • different material
  • different operator
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13
Q

how lot formation can affect sampling costs?

A

larger lot sizes require smaller sample size per unit

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14
Q

how to implement random sampling?

A
  • assign numbers to units

- use a random number generator

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15
Q

disadvantages of random sampling?

A
  • requires allocated numbers
  • time consuming
  • larger sample needed
  • more errors
  • high cost
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16
Q

stratified sampling?

A
  • divide the lot into strata (eg. layers) and divide further
17
Q

disadvantages of stratified sampling?

A
  • high cost, especially if strata must be created

- error is subgroups are selected at different rates

18
Q

advantages of stratified sampling?

A
  • statistical efficiency

- different methods in strata

19
Q

systematic sampling?

A
  • first sample is picked
  • units picked from a list at certain intervals
  • the starting number and interval must allow the desired sample size
20
Q

advantages of systematic sampling?

A
  • simple to design

- simple to use

21
Q

disadvantages of systematic sampling?

A
  • periodic trends might skew results

- moderate cost

22
Q

uses for non accepted lots?

A
  • reworked in customer production facilities (slow)
  • reworked on customer site (may save shipping, supplier image damage if staff see)
  • returned to supplier (forces improvement)