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Quiz 6- Design of Experiments
What is the purpose of DOE?
*
To systematically study the effects of multiple factors on a process outcome
To document project closure
To assign belt responsibilities
To calculate customer satisfaction
What should a DOE strategy define?
*
Objectives, factors, levels and responses
Only project cost
Only team members
Only the final celebration
Which design studies multiple factors systematically?
*
RACI matrix
Factorial design
Control Plan
SIPOC
Why can randomized experimental runs be useful?
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They eliminate the need for factors
They replace data analysis
They support a structured strategy and reduce the influence of run order
They guarantee an optimum
A chemical plant studies temperature and pressure effects on yield. What methodology fits?
*
DOE
RACI
CAPA
Control Plan
What is a factorial experiment designed to study?
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Multiple factors simultaneously
Only one observation
Only project financials
Only stakeholder roles
What important information can factorial experiments reveal?
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Interactions between factors
Project ownership
Document versions
Customer names
What does a full factorial design include?
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All combinations of the selected factor levels
Only one combination
Only the highest level
Only a baseline run
What does a fractional factorial design use?
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A subset of the possible combinations
Every possible combination
No experimental runs
Only historical data
A 2×2 experiment studies welding speed and electrode setting. What can it help reveal?
*
Whether the factors interact
Which employee owns the process
Whether the project should close
The financial ROI automatically
What is a major purpose of DOE analysis?
*
To identify significant factors and optimal settings
To define project scope
To document handover
To assign belt levels
What does optimization seek?
*
The largest project team
The best combination of settings for the desired outcome
The longest process time
The highest documentation volume
Which statistical method is identified as a DOE analysis tool?
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RACI
Kappa
ANOVA
5S
Which method is identified for optimization?
*
RACI
Response Surface Methodology (RSM)
SIPOC
Gage R&R
How can regression support DOE optimization?
*
By helping identify settings associated with an optimized process outcome
By assigning project roles
By documenting SOP ownership
By measuring categorical agreement
What is the purpose of a confirmation experiment?
*
To replace the original experiment
To validate the predicted improvement in practice
To calculate belt-level responsibilities
To close the project without evidence
Which activities can support confirmation?
*
Replication runs, control charts or hypothesis testing as appropriate
Only project celebration
Only stakeholder interviews
Only financial accounting
What should actual confirmation results be compared with?
*
The prediction and acceptance criteria
Only the project title
Only the team roster
Only the original meeting schedule
Why is baseline performance important in DOE improvement work?
*
It provides a reference for evaluating improvement
It replaces confirmation testing
It eliminates factor selection
It defines stakeholder roles
Which sequence best represents the DOE improvement flow?
*
Close → Handover → Optimize → Define → Sample
Sample → Charter → CAPA → Celebrate → Optimize
Optimize → Predict → Confirm → Evaluate → Implement
RACI → 5S → Kappa → ROI → Closure