X- Matrix and Variation Flashcards
Bridges gap between strategy and excution
Hoshin Kanri Matrix
A back and forth technique
Catchball
First, manager throws “goal” to the team Second, team throws their “feedback “
Third, repeat until general agreement
Catchball
An approach to move closer to any goal
PDCA Cycle
Continuous Improvement is built-in via ___ & ____
Catchball and PDCA Cycle
4 stages of PDCA Cycle
Plan, Do, Check and Act
Decide what you’re going to try and make a plan
Plan
Execute chosen plans on small scales
Do
Compare the actual results against the expected
Check
Implement solution fully
Act
Hoshin Planning Process - Based on Hoshin Kantri Matrix yt video
Establishing strategic vision
Develop breakthrough objectives
Develop annual objectives
Deploy annual objectives
Implement annual objectives
Monthly review
Annual review
A single page document that includes the strategic objectives, how to achieve them, who’s responsible and key performance indicators
Hoshin Kanri Matrix
the 5 important aspects of Hoshin Kanri Matrix
Long Term Objectives
Annual Objectives
Top Level Priorities
Targets to Improve
Person responsible
- It is the enemy!
- It can introducewasteand errors into a process
Variation
The more variation, the ______.
more errors
The more errors, the _____.
more wastes
A lack of consistency in a product.
Variation
Variation in a process will result to__________
variation of quality.
Why measure variation?
- Reliability
- Costs
We want our customers to know they’ll always get a certain level of quality from us. Also, we’ll often have a Service Level Agreement or similar in place. Consequently, every product needs to fit specific parameters.
Reliability
Variation costs money. So, to lower costs, we need to keep levels low.
Costs
Discrepancies occur when:
(6)
- There is wear and tear in a machine.
- Someone changes a process.
- A measurement mistake is made.
- The material quality varies.
- The environment changes.
- A person’s work quality is unpredictable.
6M’s of Six Sigma
- Method
- Mother Nature
- Man
- Measurement
- Machines
- Materials
Types of Variation
- Common Cause
- Special cause
This is a variation that happens in standard operating conditions.
Common Cause
Fluctuations might occur due to the following:
-temperature
-humidity
-metal quality
-machine wear and tear.
Product differences might be caused by _____
air humidity
This is a variation occurs innonstandardoperating conditions.
Special Cause
Speacial cause is a type of variation that occurs in_______ operating conditions.
nonstandard
Disparities could occur if:
-A substandard metal was delivered.
-One of the machines broke down.
-A worker forgot the process and made a lot of unusual mistakes.
This type of variation doesnothave a trend that can be charted.
Special Cause
Special cause-
Imagine a supplier delivers a substandard material once in a three-month period. Subsequently, you won’t see a trend in a chart. Instead, you’ll see a_____from a trend.
departure
______ variation has a trend that you can chart.
Common cause
It’s important to separate a common cause and a special cause because:
-Different factors affect them.
-We should use different methods to counter each.
Treating common causes as _______ leads to inefficient changes. So, too, does treating a special cause like a common cause. The wrong changes can cause even more ______
special causes ; discrepancies.
How to identify variations? (Common Cause)
-Mark your median measurement.
-Chart the measurements from your process over time.
-Identifyruns. These are consecutive data points that don’t cross the median marked earlier. They show common cause variation.
Use_____ to look for common cause variation.
RUN CHARTS
Use _____to look for special cause variation.
CONTROL CHART
How to identify variations? (Special Cause)
-Mark youraveragemeasurement.
-Mark your control limits. These are threestandard deviationsabove and below the average.
-Identify data points that fall outside the limits marked earlier. In other words, it is above the upper control limit or below the lower control limit. These show special cause variation.
