Risk based sampling plans are traditional in nature, drawing upon producer and consumer risks as depicted by the operating characteristic curve. When the between lot variation due to (non-removable) assignable causes is large compared with within-lot variation, Bayesian acceptance sampling should be considered for designing of any such sampling plans. Bayesian sampling plan takes in to account the past history of similar lots submitted previously for inspection. When producer and consumer are negotiating for quality limits and sampling plan, it is important especially for the producer to find out the proportion of lots expected to be accepted under the plan when it is in operation.