Preface |
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xi | |
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Part I Six Sigma Implementation and Management |
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Building the Responsive Six Sigma Organization |
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3 | (40) |
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3 | (10) |
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4 | (1) |
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5 | (6) |
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11 | (2) |
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13 | (30) |
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14 | (2) |
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16 | (16) |
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Integrating Six Sigma and Related Initiatives |
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32 | (2) |
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Deployment to the Supply Chain |
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34 | (2) |
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Communications and Awareness |
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36 | (7) |
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43 | (44) |
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Becoming a Customer and Market-Driven Enterprise |
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44 | (16) |
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Elements of the Transformed Organization |
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46 | (2) |
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Strategies for Communicating with Customers and Employees |
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48 | (4) |
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Survey Development Case Study |
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52 | (6) |
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Calculating the Value of Customer Retention |
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58 | (2) |
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Customer Expectations, Priorities, Needs, and ``Voice'' |
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60 | (5) |
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Quality Function Deployment |
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61 | (4) |
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The Six Sigma Process Enterprise |
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65 | (6) |
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67 | (1) |
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A Resolution to the Conflict |
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67 | (3) |
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Six Sigma and the Process Enterprise |
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70 | (1) |
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Linking Six Sigma Projects to Strategies |
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71 | (16) |
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The Strategy Deployment Matrix |
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71 | (3) |
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Deploying Differentiators to Operations |
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74 | (1) |
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Deploying Operations Plans to Projects |
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75 | (1) |
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76 | (1) |
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Linking Customer Demands to Budgets |
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77 | (1) |
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Structured Decision-Making |
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77 | (10) |
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87 | (30) |
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Attributes of Good Metrics |
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87 | (2) |
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89 | (8) |
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Measuring Causes and Effects |
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90 | (2) |
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92 | (2) |
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Internal Process Perspective |
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94 | (1) |
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Innovation and Learning Perspective |
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95 | (1) |
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95 | (2) |
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97 | (5) |
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99 | (3) |
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102 | (3) |
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105 | (2) |
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Information Systems Requirements |
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107 | (5) |
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Integrating Six Sigma with Other Information Systems Technologies |
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108 | (1) |
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108 | (2) |
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110 | (1) |
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110 | (2) |
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OLAP, Data Mining, and Six Sigma |
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112 | (1) |
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112 | (5) |
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112 | (1) |
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Getting Started with Benchmarking |
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113 | (1) |
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Why Benchmarking Efforts Fail |
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114 | (2) |
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The Benefits of Benchmarking |
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116 | (1) |
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Some Dangers of Benchmarking |
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116 | (1) |
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117 | (30) |
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Choosing the Right Projects |
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117 | (16) |
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117 | (1) |
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Analyzing Project Candidates |
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118 | (7) |
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Using Pareto Analysis to Identify Six Sigma Project Candidates |
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125 | (2) |
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Throughput-Based Project Selection |
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127 | (6) |
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Ongoing Management Support |
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133 | (4) |
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133 | (1) |
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134 | (1) |
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Individual Barriers to Change |
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134 | (1) |
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Ineffective Management Support Strategies |
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135 | (1) |
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Effective Management Support Strategies |
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136 | (1) |
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Cross-Functional Collaboration |
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136 | (1) |
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Tracking Six Sigma Project Results |
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137 | (10) |
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Financial Results Validation |
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138 | (1) |
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Team Performance Evaluation |
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139 | (2) |
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Team Recognition and Reward |
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141 | (2) |
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Lessons-Learned Capture and Replication |
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143 | (4) |
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PART II Six Sigma Tools and Techniques |
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Project Management Using DMAIC and DMADV |
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147 | (18) |
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DMAIC and DMADV Deployment Models |
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147 | (8) |
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152 | (1) |
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153 | (1) |
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154 | (1) |
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155 | (10) |
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155 | (1) |
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Team Dynamics Management, Including Conflict Resolution |
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156 | (1) |
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Stages in Group Development |
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157 | (1) |
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Member Roles and Responsibilities |
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157 | (1) |
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158 | (2) |
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160 | (5) |
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165 | (32) |
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165 | (2) |
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167 | (2) |
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Work Breakdown Structures |
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167 | (1) |
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167 | (2) |
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169 | (17) |
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Critical to Quality Metrics |
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170 | (9) |
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Critical to Schedule Metrics |
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179 | (1) |
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180 | (6) |
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186 | (8) |
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186 | (2) |
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188 | (3) |
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Control and Prevention of Schedule Slippage |
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191 | (1) |
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Cost Considerations in Project Scheduling |
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192 | (2) |
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Top-Level Process Definition |
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194 | (1) |
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194 | (1) |
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195 | (2) |
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197 | (18) |
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197 | (4) |
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198 | (1) |
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198 | (3) |
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201 | (5) |
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203 | (2) |
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Discrete and Continuous Data |
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205 | (1) |
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Process Baseline Estimates |
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206 | (7) |
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Enumerative and Analytic Studies |
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207 | (2) |
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Principles of Statistical Process Control |
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209 | (4) |
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Estimating Process Baselines Using Process Capability Analysis |
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213 | (2) |
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215 | (74) |
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Control Charts for Variables Data |
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215 | (9) |
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Averages and Ranges Control Charts |
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215 | (2) |
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Averages and Standard Deviation (Sigma) Control Charts |
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217 | (4) |
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Control Charts for Individual Measurements (X Charts) |
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221 | (3) |
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Control Charts for Attributes Data |
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224 | (9) |
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Control Charts for Proportion Defective (p Charts) |
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224 | (3) |
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Control Charts for Count of Defectives (np Charts) |
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227 | (2) |
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Control Charts for Average Occurrences-Per-Unit (u Charts) |
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229 | (3) |
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Control Charts for Counts of Occurrences-Per-Unit (c Charts) |
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232 | (1) |
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233 | (3) |
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Rational Subgroup Sampling |
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235 | (1) |
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Control Chart Interpretation |
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236 | (8) |
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241 | (1) |
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Tampering Effects and Diagnosis |
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242 | (2) |
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Short Run Statistical Process Control Techniques |
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244 | (17) |
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245 | (10) |
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Attribute SPC for Small and Short Runs |
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255 | (6) |
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261 | (1) |
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SPC Techniques for Automated Manufacturing |
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261 | (10) |
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Problems with Traditional SPC Techniques |
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262 | (1) |
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Special and Common Cause Charts |
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262 | (1) |
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263 | (6) |
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EWMA Control Charts versus Individuals Charts |
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269 | (2) |
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271 | (18) |
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271 | (2) |
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Frequency and Cumulative Distributions |
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273 | (1) |
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274 | (1) |
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274 | (1) |
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275 | (2) |
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Hypergeometric Distribution |
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277 | (1) |
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278 | (4) |
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282 | (7) |
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Measurement Systems Evaluation |
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289 | (32) |
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289 | (2) |
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Measurement System Discrimination |
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291 | (2) |
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293 | (2) |
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295 | (1) |
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295 | (3) |
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298 | (2) |
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300 | (1) |
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Example of Measurement System Analysis Summary |
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301 | (5) |
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Gage R&R Analysis Using Minitab |
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302 | (4) |
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306 | (4) |
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Linearity Analysis Using Minitab |
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308 | (2) |
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Attribute Measurement Error Analysis |
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310 | (11) |
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311 | (1) |
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How to Conduct Attribute Inspection Studies |
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312 | (1) |
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Example of Attribute Inspection Error Analysis |
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312 | (4) |
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Minitab Attribute Gage R&R Example |
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316 | (5) |
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321 | (72) |
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321 | (5) |
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323 | (3) |
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326 | (1) |
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Analyzing the Sources of Variation |
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326 | (16) |
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Cause and Effect Diagrams |
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327 | (1) |
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328 | (3) |
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331 | (1) |
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Chi-Square, Student's T, and F Distributions |
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332 | (4) |
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Point and Interval Estimation |
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336 | (3) |
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339 | (2) |
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Resampling (Bootstrapping) |
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341 | (1) |
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Regression and Correlation Analysis |
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342 | (10) |
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344 | (2) |
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346 | (5) |
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351 | (1) |
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352 | (24) |
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353 | (1) |
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354 | (1) |
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355 | (1) |
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356 | (3) |
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Two-Way ANOVA with No Replicates |
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359 | (1) |
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Two-Way ANOVA with Replicates |
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360 | (1) |
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Full and Fractional Factorial |
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361 | (8) |
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369 | (1) |
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Testing Common Assumptions |
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369 | (7) |
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Analysis of Categorical Data |
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376 | (13) |
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Making Comparisons Using Chi-Square Tests |
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376 | (2) |
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378 | (2) |
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Binary Logistic Regression |
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380 | (3) |
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Ordinal Logistic Regression |
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383 | (2) |
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Nominal Logistic Regression |
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385 | (4) |
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389 | (4) |
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393 | (62) |
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Using Customer Demands to Make Design and Improvement Decisions |
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393 | (9) |
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Category Importance Weights |
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394 | (6) |
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Lean Techniques for Optimizing Flow |
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400 | (1) |
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Tools to Help Improve Flow |
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400 | (2) |
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Using Empirical Model Building to Optimize |
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402 | (17) |
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Phase 0: Getting Your Bearings |
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403 | (1) |
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Phase I: The Screening Experiment |
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404 | (4) |
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Phase II: Steepest Ascent (Descent) |
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408 | (1) |
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Phase III: The Factorial Experiment |
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408 | (3) |
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Phase IV: The Composite Design |
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411 | (4) |
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Phase V: Robust Product and Process Design |
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415 | (4) |
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Data Mining, Artificial Neural Networks, and Virtual Process Mapping |
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419 | (1) |
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Example of Neural Net Models |
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420 | (1) |
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Optimization Using Simulation |
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420 | (23) |
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Predicting CTQ Performance |
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423 | (3) |
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426 | (1) |
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427 | (4) |
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431 | (7) |
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Virtual Doe Using Simulation Software |
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438 | (5) |
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443 | (7) |
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443 | (1) |
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443 | (1) |
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444 | (3) |
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Failure Mode and Effect Analysis |
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447 | (3) |
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Defining New Performance Standards Using Statistical Tolerancing |
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450 | (5) |
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453 | (1) |
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454 | (1) |
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455 | (78) |
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Validating the New Process or Product Design |
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455 | (1) |
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Business Process Control Planning |
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455 | (14) |
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456 | (1) |
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Tools and Techniques Useful for Control Planning |
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457 | (1) |
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Preparing the Process Control Plan |
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458 | (2) |
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Process Control Planning for Short and Small Runs |
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460 | (2) |
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462 | (1) |
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Selecting Process Control Elements |
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462 | (3) |
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Other Elements of the Process Control Plan |
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465 | (4) |
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Glossary of Basic Statistical Terms |
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469 | (6) |
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Area Under the Standard Normal Curve |
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475 | (4) |
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Critical Values of the t-Distribution |
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479 | (2) |
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481 | (2) |
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483 | (2) |
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485 | (2) |
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487 | (4) |
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Tolerance Interval Factors |
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491 | (4) |
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495 | (2) |
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497 | (2) |
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499 | (2) |
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Factors for Short Run Control Charts for Individuals, x-bar, and R Charts |
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501 | (2) |
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503 | (2) |
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Process σ Levels and Equivalent PPM Quality Levels |
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505 | (2) |
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Black Belt Effectiveness Certification |
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507 | (12) |
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[ Company] Black Belt Skill Set Certification Process |
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507 | (1) |
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507 | (1) |
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507 | (1) |
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[ Company] Black Belt Effectiveness Certification Criteria |
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508 | (1) |
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[ Company] Black Belt Certification Board |
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509 | (1) |
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Effectiveness Questionnaire |
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509 | (1) |
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[ Company] Black Belt Notebook and Oral Review |
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510 | (9) |
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Green Belt Effectiveness Certification |
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519 | (12) |
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Green Belt Skill Set Certification Process |
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519 | (1) |
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519 | (1) |
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Green Belt Effectiveness Certification Criteria |
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520 | (1) |
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Green Belt Certification Board |
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521 | (1) |
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Effectiveness Questionnaire |
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521 | (1) |
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521 | (1) |
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522 | (9) |
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AHP Using Microsoft Excel™ |
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531 | (2) |
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531 | (2) |
References |
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533 | (4) |
Index |
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537 | |