Increased Sampling vs Product Availability
Apply risk-based statistical sampling plans to concentrate testing on higher-risk product lots and release stable-process batches faster.
CyberTRIZ analysis · FoodProductionManagement contradiction Q026 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Business Context
Larger sampling plans improve confidence in product quality and food safety. However, destructive testing consumes finished products, increases laboratory workload, and reduces the quantity of product available for sale.
Food Production ManagementTRIZ Resolution
Manufacturers should combine statistical sampling, rapid analytical technologies, predictive process monitoring, and risk-based verification to reduce unnecessary sampling while maintaining confidence in product quality.
Applicable TRIZ Principles
Principle 35 – Parameter Changes optimizes sampling intensity.
Principle 23 – Feedback uses process performance to guide sampling.
Principle 28 – Mechanics Substitution introduces rapid analytical methods.
Principle 3 – Local Quality concentrates sampling on higher-risk products.
Expected Outcome
Lower sampling costs
Higher product availability
Reliable quality assurance
Faster product release
Improved laboratory efficiency
Decision Indicators
Early indicators include:
Sampling volumes continue increasing.
Laboratory testing delays shipments.
Product losses from testing become significant.
Stable processes receive identical sampling intensity.
Testing costs rise without improved quality performance.