File Exchange > Stats >    Acceptance Sampling Analysis

Author:
OriginLab Technical Support
Date Added:
5/13/2026
Last Update:
6/17/2026
Downloads (90 Days):
1
Total Ratings:
0
File Size:
442 KB
Average Rating:
File Name:
Acceptance...is.opx
File Version:
1.08
Minimum Versions:
License:
Type:
App
Summary:

Decide whether to accept or reject a lot based on the quality observed in a representative sample.

Screen Shot and Video:
Description:

Purpose:

Acceptance Sampling Analysis provides a statistical framework for deciding whether to accept or reject incoming material lots based on information obtained from a representative sample.

Installation:

Download the file and drag-and-drop onto Origin. A new corresponding icon will appear in the Apps Gallery window. A panel containing three icons is displayed when launching the APP.

Note:

  • Attributes Acceptance Sampling
    Develop a plan to determine how many samples to inspect (sample size) and how many defects or defectives are allowable within the sample (acceptance number) to meet specified criteria.
    Key input parameters:
    • Objective: Create a plan or compare plans
    • Measurement Type: Defective (Binomial) or Defect Counts (Poisson)
    • Units for Quality Levels: Proportion, Percentage or Per Million
    • Acceptable Quality Level (AQL): Highest level of defective/defect rate that is acceptable by supplier.
    • Rejectable Quality Level (RQL or LTPD): Highest level of defective/defect rate that is acceptable by consumer.
    • Producer's Risk (Alpha): 1 - alpha represents the probability of accepting a lot at AQL. This entry is shown if the Objective is set to create a sampling plan.
    • Consumer's Risk (Beta): 1- beta represents the probability of accepting a lot at RQL. This entry is shown if the Objective is set to create a sampling plan.
    • Sample Sizes: Multiple sample sizes of the sampling plan to compare. This entry is shown if the Objective is set to compare sampling plans.
    • Acceptance numbers: Multiple acceptance numbers of the sampling plan to compare. This entry is shown if the Objective is set to compare sampling plans.
    • Lot Size (Optional): Entire shipment sample size. It is required for calculating AOQ and ATI curves.
       
  • Variables Acceptance Sampling (Create/Compare)
    Develop a plan to determine how many samples to inspect (sample size) and what the critical distance is to meet specified criteria. 
    Key input parameters:
    • Objective: Create a plan or compare plans
    • Units for Quality Levels: Proportion, Percentage or Per Million
    • Acceptable Quality Level (AQL): Highest level of defective rate that is acceptable by supplier.
    • Rejectable Quality Level (RQL or LTPD): Highest level of defective rate that is acceptable by consumer.
    • Producer's Risk (Alpha): 1 - alpha represents the probability of accepting a lot at AQL. This entry is shown if the Objective is set to create a sampling plan.
    • Consumer's Risk (Beta): 1- beta represents the probability of accepting a lot at RQL. This entry is shown if the Objective is set to create a sampling plan.
    • Sample Sizes: Multiple sample sizes of the sampling plan to compare. This entry is shown if the Objective is set to compare sampling plans.
    • Acceptance numbers: Multiple acceptance numbers of the sampling plan to compare. This entry is shown if the Objective is set to compare sampling plans.
    • Lower Spec: Minimum acceptable value for a quality characteristic.
    • Upper Spec: Maximum acceptable value for a quality characteristic.
    • Historical Standard Deviation: Known standard deviation on prior knowledge
    • Lot Size (Optional): Entire shipment sample size. It is required for calculating AOQ and ATI curves.
       
  • Variables Acceptance Sampling (Accept/Reject Lot)
    Decide whether to accept or reject the lot based on the data from a representative sample.
    Key Input Parameters: 
    • Measurement Data: Sample Data
    • Critical Distances (k Values): Distance to the mean that is used to compare with the specification limits
    • Lower Spec: Minimum acceptable value for a quality characteristic.
    • Upper Spec: Maximum acceptable value for a quality characteristic.
    • Historical Standard Deviation: Known standard deviation on prior knowledge

Sample OPJU File:

  • This app provides a sample OPJU file.  Right click the App icon in the Apps Gallery window, and choose Show Samples Folder from the short-cut menu. A folder will open. Drag-and-drop the project file ASVData.opju from the folder onto Origin. 

Updates:

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