1 . Six Sigma Introduction
2 . Six Sigma Definition
3 . Dmaic
4 . Oc Curves And Average Sample Number
5 . Organizational Roles And Methods
6 . Stages Of Kaizen
7 . Xbar Charts And Average Run Length
8 . Lean Manufacturing Waste
9 . Defects Per Million Opportunities
10 . Discrete Random Variables
11 . Sqc Case Studies Printed Circuit Board
12 . Histograms In Six-sigma
13 . Statistical Quality Control Theory
14 . Repeatebility And Reproducibility
15 . Advanced Statistical Quality Control
16 . Lean Six-sigma History
17 . Quality Function Development
18 . Lean Six-sigma Approach
19 . Role Of Six-sigma
20 . The Design For Six-sigma
21 . The Six Sigma Movement
22 . Kaizen
23 . Histograms In Six-sigma
24 . Quality Control And Six Sigma
25 . Project Implementation
26 . Some Other Histograms In Six-sigma
27 . Analysis Of Variance Method
28 . Statistical Interpretation Of Six-sigma
29 . Six Sigma-sigma Values
30 . Requirement Of Msa System
31 . Total Productive Maintenance
32 . Purpose Of Six-sigma
33 . Probability Theory
34 . Lean Manufacturing
35 . Group Technology
36 . Standard Operating Procedure
37 . History Of Documentation
38 . History Of Six Sigma
39 . Types Of Layout Of Lss
40 . Lean Production
41 . The Culture Of Discipline
42 . Measurement System Analysis
43 . Toyota Management In Six-sigma
44 . The Central Limit Theorem
45 . Lean Six Sigma Metrics
46 . Benefits Of Lss
47 . History Of Statiscs And Quality
48 . Variance Inflation Factors And Correlation Matrices
49 . Doe Theory
50 . Normal Probability Plots
51 . System Boundaries
52 . Case Study: The Rubber Machine
53 . Doe: Response Surface Methods
54 . Regression Modeling Flowchart
55 . Logistic Regression And Discrete Choice Models
56 . Sequential Response Surface Methods
57 . Advanced Regression And Alternatives
58 . Fitting Logit Models
59 . Neural Nets For Regression
60 . Aov By Multiple T-tests
61 . Regression Numericals
62 . Regression
63 . Kriging Models
64 . Acceptance Sampling
65 . Design Phase
66 . Control Planning
67 . Control Or Verify Phase
68 . Design Of Experiments (Doe) And Regression
69 . Quality Function Development
70 . Time Experimentation
71 . Low Cost Response Surface Method
72 . Origins Of The Arrays
73 . Statistics In Six Sigma
74 . Doe: Robust Design
75 . The Least Square Formula
76 . Doe: Screening Using Fractional Factorials
77 . Critical To Quality
78 . System Modeling
79 . Measure Of Central Tendency
80 . Just In Time
81 . Process Modeling
82 . Characteristics Of 3s Application
83 . Measure Of Dispersion
84 . Random Variables
85 . Integration Of Tqm And Ge-six-sigma
86 . Simulation
87 . Software Reliability
88 . Selection Process Of Six Sigma Projects
89 . Strategies For Success
90 . Robustness
91 . Kano Analysis
92 . Elements Of Service System
93 . Common Probably Ditribution In Simulation
94 . Process Mapping Standards Symbols
95 . Process Mapping
96 . Elements Of Manufacturing System
97 . Six-sigma Outsourcing
98 . Design Variable In Service System
99 . Simulation-based Six-sigma Projects
100 . Reason For Outsourcing
101 . Integration Of Managment Principle
102 . Comparision Between Tqm And Ge-6
103 . 5”s”of Six-sigma
104 . Parameter Estimation In Statistics
105 . Role Of Simulation
106 . Probabilistic Models Introduction
107 . Probability Measures
108 . Discrete Probability Spaces
109 . The Law Of Random Variable
110 . Fundamental Probabilistic Models
111 . Reinforcement And Control
112 . Pmf
113 . Finite Additivity
114 . Sigma Test
115 . Discrete Random Variables
116 . 3s Project Charter
117 . Limit Test
118 . Continuous Random Variable
119 . Types Of Pmf
120 . Types Of Random Variable
121 . Probability Distribution Terminology
122 . Types Of Models In Six-sigma
123 . Poisson Distribution As A Limit Of The Binomial
124 . Modeling Concepts
125 . The Integrated Model Of Tqm And Six-sigma
126 . Understanding Minitab
127 . Phases Difining Methods
128 . Phaeses And Strategy
129 . Significant Figures
130 . Causes And Effect Matrices
131 . Doe And Regression
132 . Snab Tab Project Charter
133 . Analyze Phase
134 . Analyze Phase
135 . Statistical Charting
136 . P-charting
137 . Gauge R And R
138 . Measure Phase And Statistical Charting
139 . Statistical Chart Selection
140 . The Law Of Uncoscious Statistician
141 . X-bar And R-charting
142 . Formal Meetings
143 . Process Capability Indices
144 . The Toyota Production System
145 . P-charting
146 . Demerit Charting And U-charting
147 . Project Charter