Risk-based Quality and Inspection
A space to turn data, variability and evidence into risk-proportionate control decisions, from sampling to process improvement.
An integrated view of quality, control and inspection
Quality is not assured by adding more checks, but by selecting relevant information, understanding variability and allocating inspection resources where they can best reduce risk.
Understand
Define the problem, the hazard, the quality characteristic and the sources of variation.
Assess
Interpret data, uncertainty, process performance and the consequences of decisions.
Implement
Choose sampling plans, controls and inspection intensity that are proportionate to risk.
Verify
Confirm results, detect deviations and adjust the system using evidence.
Choose the problem you need to solve
Each domain addresses a different question, but all share one principle: making explicit, defensible decisions based on data.
Acceptance sampling
Make decisions about lots using a sample, balancing producer and consumer risks.
- Single, double and multiple sampling plans
- Sampling by attributes or variables
- Operating characteristic curves
Statistical process control
Distinguish common-cause variation from special causes and take action before the process produces unacceptable outcomes.
- Control charts
- Capability and stability
- Indicators and signals of change
Risk-based inspection
Prioritise establishments, processes and inspection frequencies according to likelihood, severity and historical performance.
- Risk categorisation
- Prioritisation and frequency
- Transparent use of evidence
Experimental design and improvement
Compare alternatives, identify relevant factors and optimise processes through planned experiments.
- Comparative and factorial designs
- Interactions and optimisation
- Confirmation and implementation
Start with the decision you need to make
An interactive decision guide helps you choose between 100% inspection, acceptance sampling, statistical process control, design of experiments and risk-based prioritisation.
Tools to put the approach into practice
This Centre will grow with calculators, guides and case studies that help turn concepts into practical decisions. All four technical guides below are available in English. The interactive inspection prioritisation matrix is also available in English. The factorial design explorer is currently available in Spanish.
Acceptance sampling
Fundamentals, OC curves, decision risks, single and double sampling plans, and microbiological applications based on the ICMSF approach.
Explore the guideStatistical process control
Control charts, common and special causes, stability, capability and applications in food processes.
Explore the guideInspection prioritisation matrix
Organise risk criteria, historical performance and inspection frequency.
Explore the guideDesign of experiments
Factors, interactions, factorial designs, optimisation and confirmation applied to food processes.
Explore the guideMove from guides to practice
Explore scenarios, document criteria and understand how results change before applying the methods in a real situation.
Inspection prioritisation matrix
Weight inherent risk and performance to obtain an indicative priority and explain the dominant factors.
Open the matrix2ᵏ factorial design explorer
Generate 2² or 2³ designs, enter responses and compare main effects and interactions.
Open the explorer (in Spanish)A pathway to defensible decisions
- Formulate the question: define the decision to be made and its consequences.
- Select the evidence: identify appropriate data, samples and indicators.
- Interpret the result: consider variability, uncertainty and the risks of error.
- Act and verify: implement a proportionate response and check its performance.
Need to apply these principles in your organisation?
We can help you structure sampling plans, control systems, inspection criteria and improvement strategies tailored to your context.