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 \((n, c)\).
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; "LTPD" stands for Lot Tolerance Percent Defective (see planLTPD), "AOQL" stands for Average Outgoing Quality Limit (see planAOQL)
smoothing parameter in case that the EWMA statistic is to be used, defaults to 1
Value
single number
References
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.