Block 6 - lecture 1 Flashcards
SPC?
Statistical Process Control
ie. Xbar, R, np, p, c and u charts
techniques to determine the sample size needed?
- acceptance sampling
- fixed percentage
- occasional random checks
- 100% inspection
sample?
a predetermined number of units that are inspected in each lot?
when is a lot accepted?
when the number of nonconforming units is measured to be below the acceptance number
N, n and c. What do they stand for in acceptance sampling?
N = lot size n= sample size c = acceptance number
when is sampling used?
- destructive test
- 100% inspection expensive vs passing a nonconforming unit
- many similar units
- no quality charts from suppliers
- automation not possible
advantages of sampling?
- gives responsibility
- less expensive
- less repetitive job
- applies for destructive testing
- lots not accepted encourages improvement
disadvantages of sampling?
- risk of accepting nonconforming units
- needs planning and documentation
- less data
sampling plan?
plan specifying lot size, sample size and acceptance requirement
types of sampling plans?
- single sampling (ie. 1 random sample taken)
- double sampling (another sample is sometimes taken)
What are the symbols for the values in a double sampling plan?
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.
aspects of lot formation that can affect sampling accuracy?
- different machine used
- different material
- different operator
how lot formation can affect sampling costs?
larger lot sizes require smaller sample size per unit
how to implement random sampling?
- assign numbers to units
- use a random number generator
disadvantages of random sampling?
- requires allocated numbers
- time consuming
- larger sample needed
- more errors
- high cost