Review and select improvement models in food and drink operations
Overview
This standard is about the skills and knowledge needed to review and select improvement models as part of your organisation's drive to increase the effectiveness and productivity of food and drink operations. This is important in the achievement of excellence and the success of manufacture, processing and supply across the food and drink supply chain.
You will need to show and understand the review process and the practices that lead to the selection of relevant improvement models to support an improvement programme. You will need to understand the complementary relationship of improvement models with larger overarching approaches to improvement. You will need to know how to comply with your company policy for improvement, understand how to take responsibility for your actions, and refer any issues outside of the limit of your authority to others.
This standard is for you if your role requires you to review and select improvement models in food and drink operations including; manufacturing, processing, packing or supply chain activities. You may have responsibilities for aspects of organisational improvement in a team leadership or management role.
Performance criteria
You must be able to:
Knowledge and Understanding
You need to know and understand:
- how the health, safety and hygiene requirements of a work area can influence the selection of improvement models
- why it is important to review and select a fit-for-purpose and valid improvement model to support the improvement plan
- what a characteristics selection matrix is and its purpose
- the five step process used to generate a characteristics selection matrix
- the inter-relationship between a characteristics selection matrix and a failure modes and effects analysis, Six Sigma process mapping and a quality function deployment
- the meaning of the term `sigma score' (Z)
- how the sigma score (Z) is calculated and used to estimate the percentage outside of specification
- Cp and Cpk, and how are they calculated
- how long-term capability is calculated from short term data
- how to construct a data demographics form and multi variance chart
- how the chart is used to assess within-piece variation, piece-to-piece variation and time-to-time variation
- the benefits of multi variance analysis with respect to Design of Experiments (DOE)
- the number of samples needed for a statistically valid short-term capability study
- how evolutionary operations (EVOP) can be used to support improvements in food operations
- what is meant by a EVOP cycle and a phase
- the data gathered during an EVOP activity
- how EVOP is used in Six Sigma improvement projects
- how to prioritise a Six Sigma project team's focus
- levels of authority linked to problem resolution