Module 5 - Six Sigma Quality Analysis & Process Improvement Flashcards
What is process outcome
How the output of the process is characterized
A “stable” process is one that is: __ and __
unchanged over time and in statistical control
Note: There will still be random variation
A capable process is one whose outcomes:
meet its goals or objectives
Analyzing process capability is impossible if it is __, because…..
the process is unstable because such processes are unpredictable
Why do decision makers in services often react unnecessarily to random variation and what harm does this cause? (explain)
Humans are not naturally good at making decision in the presence of random variation. Humans see changes in outcomes and immediately assume that the process has changed. When reacting to random variation, we may initiate a search for root cause of a change when, in fact, no change has occurred. We may end up changing a perfectly good process. This action could disrupt employees’ ability to serve customers and eventually spread “fear” within an organization.
How is acceptance sampling performed? (describe)
Name a con.
(1) A sample of parts is inspected to determine how many conform to design specifications.
(2) Based on these results, the batch of parts from which the sample was drawn was either passed on to the next stage of production or the entire batch was subjected to a “100% inspection.”
Cons: not designed to find the root cause of poor quality
Total Quality Management (TQM) is __ oriented
It was developed by __
process
Demming
Why is acceptance sampling a poor process improvement tool?
Because it is done after the process is run (often much later), it is typically done by inspectors who may not be familiar with the process, and it does not maintain the order of production. Therefore, it is ineffective at identifying root cause of problems.
DPMO
defects per million opportunities
Why would the Six Sigma quality metric be ineffective as a universal quality goal?
Because not all products are similar in complexity to those found at Motorola. Some applications (e.g., high volume with a high cost of defects) may warrant a stricter goal, while other applications (e.g., simpler commodity products) may warrant a less strict goal.
MBO
management by objectives
Statistically speaking, why is it difficult to create a fair bonus system based on process outcomes?
Because of the impact of random variation of outcomes. An outcome may not meet the objective even though the process is acceptable (and vice-versa).
What’s the formula for customer satisfaction?
Satisfaction = performance - expectations
Process outcomes can be __ or __
Tangible or intangible
Two important concepts in the statistical analysis of quality are __ & __
process stability
&
process capability