Learn Six Sigma APK

Learn Six Sigma  Icon
0/5
0 Ratings
Developer
Engineering Wale Baba
Current Version
1.9
Date Published
File Size
4.5 MB
Package ID
engg.hub.six.sigma
Price
$ 0.00
Downloads
475+
Category
Android Apps
Genre
Education

APK Version History

Version
1.9 (9)
Architecture
universal
Release Date
August 22, 2023
Requirement
Android 8.0+
Version
1.9 (9)
Architecture
universal
Release Date
August 22, 2023
Requirement
Android 8.0+
Version
1.6 (6)
Architecture
universal
Release Date
August 22, 2023
Requirement
Android 4.1+
Version
1.5 (5)
Architecture
universal
Release Date
August 22, 2023
Requirement
Android 4.1+
Version
1.4 (4)
Architecture
universal
Release Date
August 22, 2023
Requirement
Android 4.0.3+
  • Learn Six Sigma Screenshot
  • Learn Six Sigma Screenshot
  • Learn Six Sigma Screenshot
  • Learn Six Sigma Screenshot
  • Learn Six Sigma Screenshot
  • Learn Six Sigma Screenshot
  • Learn Six Sigma Screenshot
  • Learn Six Sigma Screenshot
  • Learn Six Sigma Screenshot
  • Learn Six Sigma Screenshot
  • Learn Six Sigma Screenshot

About Radio FM 90s

This app Six Sigma is a complete free handbook of Six sigma which covers important topics, notes, materials on the course.

This Engineering eBook covers more than 140 topics of Six sigma. The topics are divided in 4 chapters.

The App is designed for quick learning, revisions, references at the time of exams and interviews.

This app cover most of related topics and Detailed explanation with all the basics topics.

Some of topics Covered in this app are:

1. SIX SIGMA INTRODUCTION
2. SIX SIGMA DEFINITION
3. THE SIX SIGMA MOVEMENT
4. ROLE OF SIX-SIGMA
5. THE DESIGN FOR SIX-SIGMA
6. HISTOGRAMS IN SIX-SIGMA
7. HISTOGRAMS IN SIX-SIGMA
8. SOME OTHER HISTOGRAMS IN SIX-SIGMA
9. STATISTICAL INTERPRETATION OF SIX-SIGMA
10. PROJECT IMPLEMENTATION
11. SIX SIGMA-SIGMA VALUES
12. PURPOSE OF SIX-SIGMA
13. HISTORY OF SIX SIGMA
14. TOYOTA MANAGEMENT IN SIX-SIGMA
15. LEAN PRODUCTION
16. HISTORY OF DOCUMENTATION
17. HISTORY OF STATISCS AND QUALITY
18. THE CULTURE OF DISCIPLINE
19. QUALITY CONTROL AND SIX SIGMA
20. QUALITY FUNCTION DEVELOPMENT
21. ORGANIZATIONAL ROLES AND METHODS
22. STANDARD OPERATING PROCEDURE
23. ADVANCED STATISTICAL QUALITY CONTROL
24. SQC CASE STUDIES PRINTED CIRCUIT BOARD
25. STATISTICAL QUALITY CONTROL THEORY
26. PROBABILITY THEORY
27. DEFECTS PER MILLION OPPORTUNITIES
28. THE CENTRAL LIMIT THEOREM
29. DISCRETE RANDOM VARIABLES
30. XBAR CHARTS AND AVERAGE RUN LENGTH
31. OC CURVES AND AVERAGE SAMPLE NUMBER
32. DMAIC
33. LEAN SIX SIGMA METRICS
34. LEAN SIX-SIGMA APPROACH
35. LEAN SIX-SIGMA HISTORY
36. LEAN MANUFACTURING
37. LEAN MANUFACTURING WASTE
38. BENEFITS OF LSS
39. TYPES OF LAYOUT OF LSS
40. GROUP TECHNOLOGY
41. TOTAL PRODUCTIVE MAINTENANCE
42. KAIZEN
43. STAGES OF KAIZEN
44. MEASUREMENT SYSTEM ANALYSIS
45. REQUIREMENT OF MSA SYSTEM
46. REPEATEBILITY AND REPRODUCIBILITY
47. ANALYSIS OF VARIANCE METHOD
48. MEASURE PHASE AND STATISTICAL CHARTING
49. STATISTICAL CHARTING
50. GAUGE R AND R
51. STATISTICAL CHART SELECTION
52. P-CHARTING
53. P-CHARTING
54. DEMERIT CHARTING AND U-CHARTING
55. X-BAR AND R-CHARTING
56. ANALYZE PHASE
57. ANALYZE PHASE
58. THE TOYOTA PRODUCTION SYSTEM
59. CAUSES AND EFFECT MATRICES
60. DOE AND REGRESSION
61. PHAESES AND STRATEGY
62. PROJECT CHARTER
63. SNAB TAB PROJECT CHARTER
64. PHASES DIFINING METHODS
65. FORMAL MEETINGS
66. SIGNIFICANT FIGURES
67. THE LAW OF UNCOSCIOUS STATISTICIAN
68. PROCESS CAPABILITY INDICES
69. DESIGN PHASE
70. QUALITY FUNCTION DEVELOPMENT
71. CONTROL OR VERIFY PHASE
72. CONTROL PLANNING
73. ACCEPTANCE SAMPLING
74. DESIGN OF EXPERIMENTS (DOE) AND REGRESSION
75. DOE: SCREENING USING FRACTIONAL FACTORIALS
76. ORIGINS OF THE ARRAYS
77. TIME EXPERIMENTATION
78. DOE: RESPONSE SURFACE METHODS
79. SEQUENTIAL RESPONSE SURFACE METHODS
80. DOE: ROBUST DESIGN
81. REGRESSION
82. THE LEAST SQUARE FORMULA
83. DOE THEORY
84. VARIANCE INFLATION FACTORS AND CORRELATION MATRICES
85. REGRESSION NUMERICALS
86. STATISTICS IN SIX SIGMA
87. AOV BY MULTIPLE T-TESTS
88. NORMAL PROBABILITY PLOTS
89. REGRESSION MODELING FLOWCHART
90. ADVANCED REGRESSION AND ALTERNATIVES
91. KRIGING MODELS
92. NEURAL NETS FOR REGRESSION
93. FITTING LOGIT MODELS
94. LOGISTIC REGRESSION AND DISCRETE CHOICE MODELS
95. CASE STUDY: THE RUBBER MACHINE
96. SYSTEM BOUNDARIES
97. LOW COST RESPONSE SURFACE METHOD
98. PROBABILISTIC MODELS INTRODUCTION
99. DISCRETE PROBABILITY SPACES

All topics are not listed because of character limitations.

Features :
* Chapter wise complete Topics
* Rich UI Layout
* Comfortable Read Mode
* Important Exam Topics
* Very simple User Interface
* Cover Most Of Topics
* One click get related All Book
* Mobile Optimized Content
* Mobile Optimized Images

This app will useful for quick reference. The revision of all concepts can be finished within Several hour using this app.

Instead of giving us a lower rating, please mail us your queries, issues and give us valuable Rating And Suggestion So we can consider it for Future Updates. We will be happy to solve them for you.

What's New in this version