Quality Sorting
Our founders extensive experience within OEMs gives us the opportunity to become the best business partner when the goal is simply to ensure the shipment of high-quality products. Our strategic alliances allow us to improve communication within the supply chain. We understand and communicate our customers' core needs throughout the entire chain and all the way to the end customer. We participate in problem-solving, not just in inspecting the problem.
Our goal is to become our clients' best ally, with the sole purpose of ensuring their products are defect-free and meet the required specifications. What is important to you is important to us. It becomes our priority. We can help reduce costs and facilitate the start of the problem-solving process by working together with our clients to properly implement the D2 (8D problem-solving methodology), because we understand that correctly defining a problem is more than half the work required to solve it.
We improve customer satisfaction throughout the entire supply chain and ensure the highest quality products.
Context of a Quality Sorting Company
In the context of product manufacturing, quality sorting (also known as quality sampling, random sampling inspections, or batch inspection) are methods used to assess the quality of a product by randomly selecting a representative sample or inspecting a complete batch. The objective is to verify whether the items meet the required standards, saving our customers' time, financial resources and, above all, human resources.
This process includes:
- Visual inspections.
- Dimensional testing
- Functional tests
Key features in manufacturing
- Random sampling: Units are randomly selected from a lot for inspection.
- Acceptance criteria: Limits of permissible defects are defined (example: AQL - Acceptable Quality Level).
- Decision on the lot:
- If the sample meets the standards, the lot is accepted.
- If it does not comply, it may be rejected or subject to full inspection.
Common types
- Acceptance Sampling (AQL): Used in mass production (example: electronics, textiles, auto parts).
- Variable sampling: Measures quantitative characteristics (weight, length).
- Attribute sampling: Evaluates qualitative defects (e.g. scratches, functional failures).
Advantages
✔ Efficiency in large volumes.
✔ Reduces costs vs. inspection by 100% if the draw is defined as random.
✔ Objectivity when using statistical methods.
Disadvantages
✖ Risk of passing defects (Type II error).
✖ Does not eliminate the need for process controls (such as SPC).
