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This unit is designed to assess the underpinning knowledge and understanding of learners in the workplace context, for understanding the principles of Design of Experiments (DOE) in food operations. It can be assessed on or off the job.
The learner must demonstrate their current knowledge and understanding, to meet all assessment criteria. Assessment methods appropriate to the needs of the learner must be used to generate satisfactory evidence of knowledge and understanding.
The Improve Assessment Strategy sets out the overarching assessment requirements.
Understand the purpose, importance and completion of DOE
Explain how the health, safety and hygiene requirements of a work area can influence the design of experiment improvement technique
Summarise the purpose of DOE as an improvement technique in food operations
Clarify why DOE is used and how this can benefit an improvement project
Explain the importance of determining the scope of an experiment
Explain how to complete a DOE project
Describe why it is important to be clear about the levels of authority of personnel linked to problem resolution.
Understand the techniques, data and terms used in the DOE
Explain the tools and techniques used in the DOE
Explain the data required to carry out the DOE
Summarise how population and sample size are used in the DOE
Explain the meaning of the terms Alpha risk and Beta risk
Explain the meaning of a population and a sample in terms of the DOE.
Understand the use of graphical displays and the design of arrays
Explain how to calculate Mean, Median, Mode, Standard Deviation, Range and Variance
Clarify how graphical display can be used to show main effects and interactions
Explain the design of Arrays linked to the design of interactions including;
• Full factorial
• 2k factorial
• Fractional.