Learning to read the Acceptance Quality Limit (AQL) chart is essential for manufacturing quality control. The AQL chart is a standardized statistical table based on ISO 2859-1 that helps inspectors determine the correct sample size and the maximum allowable number of defective units in a production batch. To use it, you first identify your total lot size and designated inspection level (typically General Level II) to find a specific sample size code letter. Next, you cross-reference this letter with your chosen AQL percentages for critical, major, and minor defects to establish the precise accept and reject points for the shipment.


1. Define the Inspection Level
- The AQL chart is divided by inspection levels: Special (S-1, S-2, S-3, S-4) and General (GI, GII, GIII).
- Special Inspection Levels (S-1 to S-4) are used for stricter inspection standards, often in critical or high-risk products.
- General Inspection Levels (GI to GIII) are commonly used for routine inspections; GII is generally the default level.
- Choose the inspection level based on the importance of quality and the supplier’s reliability.
2. Determine the Lot or Batch Size
- Find the lot size or batch quantity you’re inspecting. Locate this quantity in the Lot Size column of the chart.
- The lot size helps determine the sample size or the number of items you need to inspect to reach a reliable quality assessment.
3. Find the Sample Size Code Letter
- Match your chosen inspection level and lot size in the AQL chart to find the Sample Size Code Letter.
- This letter corresponds to a specific sample size table, which tells you how many units to inspect.
4. Determine the AQL Level for Each Defect Category
- Each AQL level is associated with defect categories:
- Critical Defects (0.01-0.1% AQL): Defects that could lead to hazardous or unsafe outcomes.
- Major Defects (0.65-1.5% AQL): Defects that could affect product usability or performance.
- Minor Defects (2.5-4.0% AQL): Minor imperfections that don’t affect function but may impact aesthetics.
- Choose an AQL level for each defect category based on acceptable risk levels and industry standards.
5. Identify Acceptance and Rejection Criteria
- Use the Sample Size Code Letter from Step 3 and the AQL level from Step 4 to find Accept and Reject Points on the chart.
- These points represent the maximum allowable number of defects in each category:
- Acceptance Number (Ac): Maximum number of defective units allowed within the sample to accept the lot.
- Rejection Number (Re): Minimum number of defective units that will lead to rejecting the lot.
- Inspect the sample according to these criteria to determine if the batch meets quality standards.
6. Example:
Let’s walk through a practical example of using the AQL chart to inspect a batch of products.
Scenario
You’re inspecting a batch of 5,000 electronic devices from a supplier. For these devices, quality is critical since they’re consumer electronics. You’ve chosen to inspect for three types of defects: critical, major, and minor.
Step-by-Step Example
- Define the Inspection Level
Since you’re performing routine inspections and need a moderate level of scrutiny, you choose General Inspection Level II (GII), which is commonly used for standard inspections. - Determine the Lot or Batch Size
Your lot size is 5,000 units, so you look for this range in the AQL chart’s Lot Size column. For a batch of 5,000, the chart directs you to use Sample Size Code L. - Find the Sample Size Code Letter
With the Sample Size Code Letter L, you refer to the sample size table. The table indicates that you should inspect 200 units from this batch. - Determine the AQL Level for Each Defect Category
Based on your product requirements:- Critical Defects: You set the AQL to 0.1%. Since any critical defect could pose a safety issue, this is the strictest level.
- Major Defects: You set the AQL to 1.5% for defects that impact functionality but are not dangerous.
- Minor Defects: You choose an AQL of 4.0% for minor issues that won’t impact product functionality but might affect appearance.
- Identify Acceptance and Rejection Criteria
Using the AQL chart, look up the acceptance and rejection points for each defect category based on Sample Size Code L (200 units) and your chosen AQL levels:- Critical Defects (AQL 0.1%): Accept 0, Reject 1
- If you find any critical defect, you must reject the entire batch.
- Major Defects (AQL 1.5%): Accept 7, Reject 8
- If you find 7 or fewer major defects, the batch is accepted; 8 or more leads to rejection.
- Minor Defects (AQL 4.0%): Accept 14, Reject 15
- If there are 14 or fewer minor defects, accept the batch; 15 or more results in rejection.
- Critical Defects (AQL 0.1%): Accept 0, Reject 1


Applying the Criteria
After inspecting the 200 sampled units:
- You find 0 critical defects, 6 major defects, and 12 minor defects.
- Since these fall within the acceptable limits (0 ≤ 0 critical, 6 ≤ 7 major, 12 ≤ 14 minor), the batch passes the inspection.
By following this example, you can see how the AQL chart helps determine the sample size and acceptance criteria for different defect types, providing a structured approach to maintaining quality standards.
The AQL chart is an essential tool for maintaining quality standards in product inspections. By using it to determine appropriate sample sizes and defect acceptance criteria, businesses can ensure that their products meet quality expectations while managing inspection costs and risks.
For companies seeking support in optimizing quality control and supply chain management, SCM Solution provides expert tools and services. SCM Solution helps streamline inspection processes, monitor supplier performance, and maintain high-quality standards, offering a comprehensive approach to quality assurance throughout the supply chain.
FAQ
An AQL chart is a standardized statistical matrix used by quality inspectors to determine two critical metrics: the exact number of units to randomly sample from a production batch, and the maximum number of defective units allowed before the entire batch is rejected.
A standard AQL chart consists of two main tables. Table 1 is used to find the Sample Size Code Letter based on the total production lot size and inspection level. Table 2 uses that code letter to determine the actual sample size and the specific Accept (Ac) and Reject (Re) numbers.
The universally recognized standard for the AQL sampling chart is ISO 2859-1. It is exactly equivalent to other international standards such as ANSI/ASQ Z1.4 in the United States and MIL-STD-105E, providing a globally consistent methodology for statistical quality control across all manufacturing sectors.
To find the sample size code letter, locate your total production batch size range in the first column of AQL Table 1. Then, move horizontally to the column matching your chosen Inspection Level (typically General Level II). The intersection provides your designated code letter.
The “Lot or Batch Size” column on AQL Table 1 represents the total number of identical units produced in a single manufacturing run or contained within a single shipment. The chart categorizes these total quantities into specific mathematical ranges.
General Inspection Level II (G-II) is the default and most universally used column on AQL Table 1 for standard consumer goods. It provides an optimal statistical balance between inspection accuracy, time efficiency, and factory cost when the supplier has no prior history of quality failures.
When tests are destructive, excessively time-consuming, or highly expensive, you read the right side of AQL Table 1 under the “Special Inspection Levels” (S-1 through S-4). These columns yield a smaller sample size code letter, minimizing the number of products that must be destroyed.
Once you have your Sample Size Code Letter from Table 1, locate that letter in the first column of AQL Table 2. The adjacent column will explicitly state the exact mathematical number of units you need to randomly pull and inspect from the overall production batch.
On AQL Table 2, “Ac” stands for the Acceptance number, which is the maximum number of defective units allowed to still pass the inspection. “Re” stands for the Rejection number. If the number of defects equals or exceeds the “Re” value, the entire lot officially fails.
If your intersection on AQL Table 2 points to an arrow, you must follow the direction of that arrow to the first available numerical Accept (Ac) and Reject (Re) values. Crucially, you must also adjust your sample size to correspond with that new specific row.
The AQL chart does not automatically assign defect types. The buyer must predefine the AQL percentages. Typically, the industry standard assigns 0% AQL for Critical defects, 1.5% or 2.5% AQL for Major defects, and 4.0% AQL for Minor defects across the top horizontal row of Table 2.
The top row of AQL Table 2 lists AQL percentages ranging from very strict (e.g., 0.065) to very loose (e.g., 6.5). Higher AQL percentages represent a higher tolerance for errors from the buyer, which consequently increases the “Ac” and “Re” allowance numbers for minor imperfections.
If the number of defective units found during the inspection strictly equals or exceeds the “Re” (Reject) number listed on AQL Table 2, the inspector must formally fail the lot. The supplier is then usually required to perform a 100% rework of the batch.
No, the AQL chart is specifically engineered for statistical randomized sampling, not 100% inspection. It calculates the probability of defects in a large lot by examining a smaller, representative subset, which saves significant time and labor costs in mass manufacturing supply chains.
No. To properly read and apply an AQL chart, the sample must be pulled entirely at random from across the entire batch (bottom, middle, top of pallets). If the sampling isn’t truly randomized, the statistical probabilities underlying the AQL chart’s “Ac” and “Re” metrics become completely invalid.
Additional Resources
- Case Studies: How SCM Solution Helped Businesses Succeed
- Choosing the Right SCM Services for Your Business
Follow our LinkedIn page to get further activities
Subscribe to Yvette’s LinkedIn newsletter to read more other case studies in supply chain