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Select an issue or opportunity that can be written as a problem statement.

INSTRUCTIONS TO CANDIDATES
ANSWER ALL QUESTIONS

Project Selection Criteria:

Select an issue or opportunity that can be written as a problem statement.

Must be within your sphere of influence.

Is not an attempt to solve world hunger.

Uses data that is accessible to you or can be collected in a reasonable amount

of effort/time.

You have the ability to measure the current and future state. You have access to baseline data or can collect it.

Preferably uses more continuous data (rather than all discrete data).

Fixing this problem will provide value. You should develop a business case to support working this issue (consider your time and others when calculating ROI.)

 

Examples:

Improve product quality

Reduce expenses

Improve the output of your organization Decrease wait time

The final submission should be 1 file, in slide format, created in PowerPoint.

It should include 2 parts:

1) Executive summary slide – 1 slide Storyboard (specific requirements below).

 

2) Back-up slides – additional 5-15 slides (specific requirements pgs. 3-4). This is not a repeat/copy of your storyboard. The back-up slides should detail and support the content of your storyboard.

************************************************************************************************************* 1) Executive Summary :: Storyboard (should be presented in 1 PowerPoint slide)

Follow the DMAIC steps

Include the problem statement and baseline

Utilize at least 5 different tools/techniques (present relevant key tools to best tell your story).

Be readable; summarize and condense exhibits where necessary

Use arrows, call out boxes, and balloons to highlight questions and key learnings

Display data/charts supporting your findings and conclusions

Show results or expected results

 2) Back-up slides - following the Storyboard include 5-15 slides containing the answers to the following questions.

DEFINE

What is your goal? How will you know if you’ve been successful?

Have clear operational definitions been established for your inputs and outputs?

What is the process you’re trying to improve? What are the current steps of the process?

 

MEASURE

Include your Data Measurement Plan or Data Stratification Tree (examples on pgs. 5-6).

What type of data did you collect (cost, cycle time, changeover time, yield, machine utilization, scrap, rework, defects, inventory)?

Was that data continuous or discrete?

Did you collect your own data or did you use existing data?

How much data did you collect and why? What is your ideal sample size using the sample

size formula? What is the risk if you collected fewer samples?

How was your data collected? Describe the methods you used to collect it.

Where could you have measurement error? How much measurement error do you have? What could you do to minimize your measurement error?

 2) Back-up slides continued:

ANALYZE

What tools did you use to analyze the data? (Utilize at least 5 different tools/techniques

and show evidence and detail of the tool/technique).

What is the data telling you? What did you discover?

What is the SQL for the old and new process?

IMPROVE

What solutions did you propose and/or implement? Did you successfully improve your process? What did you learn about your process

CONTROL

How will you use this information to “hold the gains” of your improvement or make the next round of improvements in your process?

(5/5)
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