Apply the lead time analysis improvement technique in food and drink operations
Overview
This standard is about the skills and knowledge needed to apply lead time analysis 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 apply and understand the methodology and process essential to lead time analysis and show how this is used to identify potential improvements. You will need to show and know how to present findings of analysis to relevant people within the organisation, including management colleagues. You will need to know how to comply with your company policy for improvement, take responsibility for your actions, and refer any issues outside of the limit of your authority to others.
This standard is for you if you work 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:
- the organisation's improvement vision, strategy, objectives and the reasons for implementation of improvement programmes
- how the health, safety and hygiene requirements of a work area can influence the process of analysis
- the food and drink operational activity that is being analysed
- the information required to create lead time profiles to support the achieving excellence strategy
- the information required to construct the lead time profiles, and where this information can be obtained
- the co-ordination and creation of lead time profiles
- the co-ordination and creation of frequency charts
- the techniques used to communicate the information and results obtained by this process
- the difference between lead time and cycle time
- the use of statistical measurement and meanings, abbreviations and symbols in the collection of performance data
- how to use graphical data representation in data analysis
- how root cause analysis can support problem solving
- levels of authority linked to problem resolution
- how to interpret and evaluate data
- how to present analysis findings
- how to make recommendations about improvement opportunities and targets