cmBE | R Documentation |
Break-even value of c_m parameter (which is ratio of cost of inspection of one item by variables to cost of inspection of the item by attributes), i. e. the value of c_m for which mean inspection cost per lot of process average quality for inspection by variables and attributes is equal to mean inspection cost per lot of process average quality for inspection by attributes, using plan (n, c).
cmBE(N, pbar,px,n,c,type=c("LTPD","AOQL"), type2 = c("exact", "napprox","ewmaSK","ewma2"),lam=1)
N |
lot size (number of items in the lot) |
pbar |
process average fraction defective |
px |
lot tolerance fraction defective pt (if type="LTPD", which is default) or average outgoing quality limit p_L (if type="AOQL") |
n |
sample size of benchmark plan for sampling inspection by attributes |
c |
acceptance number of benchmark plan for sampling inspection by attributes |
type |
type of acceptance sampling plan; |
type2 |
type of OC to be used |
lam |
smoothing parameter in case that the EWMA statistic is to be used, defaults to 1 |
single number
Kasprikova, N. and Klufa, J.: AOQL Sampling Plans for Inspection by Variables and Attributes Versus the Plans for Inspection by Attributes. Quality Technology & Quantitative Management, 12/6. 2015.
planLTPD
, planAOQL
cmBE(N=1000,pbar=0.001,px=0.01,n=80,c=0,type="LTPD",type2="exact");
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