Created by Stat Modeller

Lean Six Sigma Brown Belt

Welcome to the Exam for "Lean Six Sigma Brown Belt".

Following are the guidelines for the examination. Please read it carefully before starting the exam.

Guidelines:

  1. Duration: 120 minutes
  2. Total 75 MCQs Questions + 5 Scenario Based Questions
  3. For fill in the blank type questions, use 2 decimal points without any symbols like % or anything else.
  4. Write the full name with your company email ID. This name will appear on the certificate.
  5. There is no negative marking.

All the Best!!!
Team Stat Modeller


 

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1. Which cost reduces after Six Sigma implementation?

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2. Goal: “Improve quality significantly.” This lacks

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3. A project reduces changeover time but increases scrap rate slightly. Which metric failed to be monitored properly?

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4. A problem statement must include which combination?

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5. A project reduces defect rate by 1% but saves ₹5Cr annually. It should be prioritized based on

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6. Financial benefit must be validated by

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7. Cycle time = 65 sec while takt time = 50 sec. This indicates

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8. If Customer Demand = 2400 units/month and available time is 25 working days running 3 shifts each of 8 hours. There are 30 minutes break in each shift. Takt time is

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9. A process produces 25 defects in 5,000 units. Each unit has 4 opportunities. What is DPMO?

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10. Reducing defect rate from 8% to 3% is

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11. Goal statement must include baseline and

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12. Reduce cycle time but quality drops. Which metric failed?

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13. Inventory between processes primarily increases

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14. Reducing lead time improves customer satisfaction but reduces profit margin. Conflict is between

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15. If DPMO is 3.4, the process sigma level is approximately

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16. Mean = 100, SD = 5. What is Z for 90?

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17. Cable diameter measured in mm is

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18. Cp uses ______ variation

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19. Sample size = 5 per subgroup, continuous data. Chart?

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20. In 10,000 cables, 120 defects are found. Each cable has 4 CTQs. What is DPMO?

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21. Preventing future penalty of ₹10L is

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22. Cp < 1 indicates

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23. If defect rate = 0.002 (0.2%), DPMO equals

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24. 200 defects in 25,000 units, 4 opportunities each. DPMO?

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25. If reproducibility high but repeatability low, action should focus on

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26. 10 defects in 2000 units, 2 opportunities each. DPMO?

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27. Individual measurements over time require

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28. NDC should be at least

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29. Data cannot be negative and right skewed. Distribution?

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30. Repeatability refers to variation due to

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31. Dashboards mainly support

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32. In Visial Management, Visual boards improve

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33. Process in control but customer complaints high indicates

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34. When sample size varies and counting defects per unit

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35. Counting number of defects per unit (constant sample size)

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36. Mean = 100, MR-bar = 4. Estimate σ (σ ≈ MR̄ / 1.128)

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37. Process can be in control but not capable when

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38. If sample size constant and counting defectives, use

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39. 7 points trending upward indicates

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40. Mean stable but R chart out-of-control. Interpretation?

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41. Larger sample size makes CI

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42. Reducing α from 0.05 to 0.01 makes test

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43. Correlation coefficient range is

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44. Cp=1.8, Cpk=1.7, process unstable. First action?

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45. USL=120, LSL=100, Mean=110, σ=4. Cpk?

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46. Power of test equals

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47. In Regression Analysis, R² increases after adding X3 but X3 p-value >0.05. Action?

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48. 95% confidence corresponds to α (alpha level) =

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49. Comparing two means (small sample, unknown σ)

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50. R² = 0.64 means

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51. R² = 0.81 between extrusion temp and thickness variation. What does this imply?

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52. Equal means but unequal variances violate

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53. Severity = 8, Occurrence = 5, Detection = 4. RPN equals

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54. In Regression Analysis, VIF high indicates

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55. Scatter Plot used to study

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56. Response increases with higher temp but decreases after threshold. This suggests

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57. 4 factors at 2 levels, fractional ½ design requires runs

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58. In DOE, Main effect measures

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59. In Full Factorial DOE – 2³ Design, Number of runs required

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60. First step in 5S

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61. In DOE 2⁴ Full Factorial, Number of runs required

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62. Scrap reduced from 6% to 3% on ₹5Cr production. Annual saving?

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63. Pull system primarily reduces

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64. Takt mismatch across stations causes

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65. Changeover reduced by 40 min, 5 changeovers/day, ₹500/min opportunity cost. Daily saving?

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66. In Full Factorial DOE, 2 factors at 2 levels requires

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67. In DOE, Significant p-value for factor A means

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68. Reducing batch size mainly reduces

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69. SMED primarily reduces

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70. If detection improved but occurrence high, long-term risk remains due to

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71. Lean without Six Sigma may improve speed but risk

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72. Jumping to Improve before validating X’s causes

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73. Skipping Measure and directly analyzing leads to

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74. Lean reduces waste, Six Sigma reduces

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75. Sponsor approval ensures