4)
we are given that,
Average Quality Level (AQL)= 1%
Lot size = 2200, process average defect = 0.5%
From the Dodge Roming single sampling lot inspection table, for given process average defect and lot size, the sampling scheme will be:
N= 26, c = 1, LQL= 5.8%
where N is the sample size to be inspected
c = acceptable defective i.e. 1 defectives are acceptable in a sample of 26 subjects.
Average Quality Level (AQL)= 1%
Lot size = 2200, process average defect = 1.5%
From the Dodge Roming single sampling lot inspection table, for given process average defect and lot size, the sampling scheme will be:
N= 30, c= 2, LQL= 7.2%
where N is the sample size to be inspected
c = acceptable defective i.e. 2 defectives are acceptable in a sample of 30 subjects.
quality improvement plan design is #3 inspection is normal level II. Atccpiaioo qum Using the plan designed in problem 3, determine the probability of rejecting a lot when the 0.5% and 1.5%...
Quality Control ise #5 Using the plan designed in problem 4, determine the probability of rejecting a lot when the 0.5% and 1.5% of the lot is defective 6. Using Dodge Romig plans, design a sampling plan for lots of 3750 for AOQL of 3% and process average defect of 0.1% 5. 6. Using the plan designed in problemdetermine the probability of rejecting a lot when the 0.5% and 1.5% of the lot is defective Using the plan designed in...
Quality Control answer #6 Using Dodge Romig plans, design a sampling plan for lots of 3750 for AOQL of 3% and process average defect of 0.1% 5. 6. Using the plan designed in problemdetermine the probability of rejecting a lot when the 0.5% and 1.5% of the lot is defective Using Dodge Romig plans, design a sampling plan for lots of 3750 for AOQL of 3% and process average defect of 0.1% 5. 6. Using the plan designed in problemdetermine...
1. Many companies use a incoming shipments of parts, raw materials, and so on. In the electronics industry, component parts are commonly shipped from suppliers in large lots. Inspection of a sample of n components can be viewed as the n trials of a binomial experimem. The outcome for each component tested (trialD will be that the component is classified as good or defective defective components in the lot do not exceed 1 %. Suppose a random sample of fiver...