Lecture 4 - Lean & Six Sigma Metrics / Introduction to Measure Flashcards
What does a ‘Push’ system focus on?
Upstream information: expected demand -> Mass manufacturing -> Economies of scale
What does a ‘Pull’ System focus?
Downstream information: customer requirements -> On demand production -> Adaptation
What are the steps of the ‘Measure’ stage?
- Determine which data to capture
- Develop a data collection plan for the process and collect data
- Establish baseline performance
- Compare to customer results to determine the shortfall
What is the aim of the ‘Measure’ process?
Determine the performance of the core business processes involved in the project
What type of measurement should be made during this stage?
Variance-based NOT mean-based
What are two types of variation?
Common cause (noise) Special Cause (Signals)
What produces Common Cause variation?
Process itself
How can Common Cause variation be mitigated?
Fundamental changes to the process
What produces Special Cause variation?
Unique disturbances or a series of them
How can Special Cause variation be mitigated or removed?
Basic process control and monitoring
What is the stability of processes that only have Common Cause variation?
Stable over time that is probable
What is the stability of processes that only have Special Cause variation
Not stable over time
What are steps to creating a Data Collection Plan?
- Decide what data to collect
- Develop operational definitions
- Determine the sampling plan
- Collect data
What is discrete data?
Data that take son a discrete and finite number of possible values
What is continuous data?
Data that can take on a continuous, infinite number of possible values, usually a characteristic
What are the considerations that should be taken into account when data is to be collected?
Is the data feasible to collect?
Does the data validate or refine your understanding of the size and frequency of the problem?
Does the data show if customer requirements are being met?
Is the data valuable to analyse the problem?
Does the data measure causes that are thought to be causing variation in the output
Give an example of a percentage is discrete.
37% of customers are between the ages of 66 and 70
50% of a company’s departments met yearly targets
Give an example of continuous percentage.
37% of the total cost of rework occur at Machine B Waiting time is 50% higher than the target value