Bi Weekly Six Sigma Maret

Bi Weekly Six Sigma Maret

1st - 10th Grade

10 Qs

quiz-placeholder

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Bi Weekly Six Sigma Maret

Bi Weekly Six Sigma Maret

Assessment

Quiz

Professional Development

1st - 10th Grade

Hard

Created by

Sih Palagan

Used 13+ times

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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Considering the Seven Elements of Waste examples of _____________ waste would be relocating inventory to get it out of the way, repeating walking to retrieve necessary

Correction

Overprocessing

Transportation

Inventory

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

The 5s approach to removing waste is part of the application of Lean are:

1. SHORTING

2. STRAIGHTENING

3. SHARPENING

4. STANDARDIZING

5. SUSTAINING

from the above options, the correct 5s are:

1, 2, 3, 4, 5

4 only

2, 4, 5

1, 3, 5

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Function of the Paretto Charts are_____

to quantify opportunity to close gaps

to collect the data and prioritize corrective actions

to identify the most common types of defect

to measure and monitor the performance of any process

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

LSS project creates for the process owner a Control Plan. The Control Plan is to remain active and open for _________

Once a year

Six Months

Five Years

The Life of the process

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

A Belt has used the 5s approach of Lean to set up a control method with frequently used tools organized as shown in this graphic. The Belt has applied the __________ principle of 5S

Straightening

Sustaining

Sorting

Standardizing

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

When in Process of trying to identify the Critical X's for a LSS project a Belt creates a(n)__________ because frequently it's 20% of the inputs that have an 80% impact on the output.

FMEA

Pareto Chart

Cause-Effect Diagram

Control Chart

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

The shape of a Normal Distribution is impacted primarily by:

Data Type

Mean

Sample Error

Variance

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