Smart Active Sampling to enhance Quality Assurance Efficiency

Heistracher, Clemens, Stricker, Stefan, Casas, Pedro, Schall, Daniel, Kemnitz, Jana

arXiv.org Artificial Intelligence 

Therefore, quality control plays an important role. However, quality control is also a cost factor that can not be neglected [1]. This is especially true for those industries requiring inspections outside the production line, such as disruptive or non-disruptive testing [2]. Traditional sampling strategies are random sampling, where a fixed number of samples is taken randomly in a fixed interval or periodic sampling, where samples are taken at a fixed interval. However, both sampling strategies entail some disadvantages. A small sampling interval increases the chance of detecting defective parts but also increases sampling costs, especially using destructive testing.

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