Preface |
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xv | |
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1 | (14) |
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1 | (3) |
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1.2 The Product Life Cycle |
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4 | (2) |
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1.3 Life-Cycle Cost Scope |
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6 | (1) |
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1.4 Cost Modeling Definitions |
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7 | (4) |
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1.5 Cost Modeling for Electronic Systems |
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11 | (1) |
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1.6 The Organization of this Book |
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12 | (3) |
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12 | (3) |
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Part I Manufacturing Cost Modeling |
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15 | (200) |
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1.1 Classification of Products Based on Manufacturing Cost |
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17 | (1) |
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1.2 Technical Cost Modeling (TCM) |
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18 | (3) |
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19 | (2) |
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Chapter 2 Process-Flow Analysis |
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21 | (14) |
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2.1 Process Steps and Process Flows |
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21 | (3) |
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2.1.1 Process-step sequence |
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23 | (1) |
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2.1.2 Process-step inputs and outputs |
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23 | (1) |
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2.2 Process-Step Calculations |
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24 | (4) |
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24 | (1) |
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25 | (1) |
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25 | (1) |
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2.2.4 Equipment/Capital costs |
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26 | (1) |
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26 | (1) |
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27 | (1) |
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2.3 Process-Flow Examples |
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28 | (5) |
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2.3.1 Simple pick & place and reflow process |
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28 | (3) |
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2.3.2 Multi-step process-flow example |
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31 | (2) |
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33 | (2) |
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33 | (1) |
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34 | (1) |
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35 | (24) |
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36 | (1) |
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37 | (8) |
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3.2.1 The Poisson approximation to the binomial distribution |
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38 | (4) |
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3.2.2 The Poisson yield model |
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42 | (1) |
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3.2.3 The Murphy yield model |
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42 | (2) |
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44 | (1) |
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45 | (4) |
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3.3.1 Multi-step process-flow example |
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46 | (1) |
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3.3.2 The known good die (KGD) problem |
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47 | (2) |
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49 | (3) |
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3.5 The Relationship between Yield and Producibility |
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52 | (7) |
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54 | (1) |
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55 | (1) |
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55 | (4) |
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Chapter 4 Equipment/Facilities Cost of Ownership (COO) |
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59 | (14) |
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4.1 The Cost of Ownership Algorithm |
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60 | (1) |
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4.2 Cost of Ownership Modeling |
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61 | (4) |
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62 | (1) |
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62 | (1) |
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63 | (2) |
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4.3 Using COO to Compare Two Machines |
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65 | (3) |
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4.4 Estimating Product Costs |
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68 | (5) |
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69 | (1) |
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70 | (1) |
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70 | (3) |
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Chapter 5 Activity-Based Costing (ABC) |
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73 | (10) |
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5.1 The Activity-Based Cost Modeling Concept |
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74 | (1) |
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5.1.1 Applicability of ABC to cost modeling |
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75 | (1) |
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5.2 Formulation of Activity-Based Cost Models |
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75 | (2) |
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5.2.1 Traditional cost accounting (TCA) |
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75 | (1) |
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5.2.2 Activity-based costing |
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76 | (1) |
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5.3 Activity-Based Cost Model Example |
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77 | (3) |
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5.4 Summary and Discussion |
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80 | (3) |
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80 | (1) |
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81 | (1) |
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81 | (2) |
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Chapter 6 Parametric Cost Modeling |
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83 | (18) |
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6.1 Cost Estimating Relationships (CERs) |
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84 | (3) |
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86 | (1) |
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6.2 A Simple Parametric Cost Modeling Example |
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87 | (2) |
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89 | (4) |
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89 | (1) |
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90 | (1) |
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90 | (2) |
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6.3.4 Don't force a correlation when one does not exist |
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92 | (1) |
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92 | (1) |
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6.4 Other Parametric Cost Modeling/Estimation Approaches |
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93 | (2) |
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6.4.1 Feature-based costing (FBC) |
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93 | (1) |
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6.4.2 Neural network based cost estimation |
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94 | (1) |
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95 | (1) |
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6.5 Summary and Discussion |
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95 | (6) |
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96 | (1) |
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97 | (1) |
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97 | (4) |
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101 | (40) |
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102 | (5) |
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7.1.1 Relating defects to faults |
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103 | (4) |
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7.2 Defect and Fault Coverage |
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107 | (2) |
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7.3 Relating Fault Coverage to Yield |
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109 | (7) |
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7.3.1 A tempting (but incorrect) derivation of outgoing yield |
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109 | (1) |
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7.3.2 A correct interpretation of fault coverage |
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110 | (1) |
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7.3.3 A derivation of outgoing yield (Yout) |
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111 | (4) |
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7.3.4 An alternative outgoing yield formulation |
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115 | (1) |
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7.4 A Test Step Process Model |
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116 | (3) |
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118 | (1) |
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7.4.2 Defects introduced by test steps |
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119 | (1) |
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119 | (5) |
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7.5.1 A test step with false positives |
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122 | (1) |
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7.5.2 Yield of the bonepile |
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123 | (1) |
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124 | (1) |
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7.6.1 Cascading test steps |
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124 | (1) |
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7.6.2 Parallel test steps |
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125 | (1) |
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7.7 Financial Models of Testing |
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125 | (1) |
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7.8 Other Test-Related Economic Topics |
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126 | (15) |
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7.8.1 Wafer probe (wafer sort) |
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127 | (1) |
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128 | (1) |
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7.8.3 Design for test (DFT) |
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129 | (5) |
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7.8.4 Automated test equipment costs |
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134 | (1) |
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135 | (1) |
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136 | (1) |
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137 | (4) |
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Chapter 8 Diagnosis and Rework |
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141 | (24) |
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142 | (2) |
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144 | (1) |
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8.3 Test/Diagnosis/Rework Modeling |
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145 | (15) |
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8.3.1 Single-pass rework example |
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145 | (3) |
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8.3.2 A general multi-pass rework model |
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148 | (6) |
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8.3.3 Variable rework cost and yield models |
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154 | (1) |
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8.3.4 Example test/diagnosis/rework analysis |
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155 | (5) |
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8.4 Rework Cost (Crework fixed) |
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160 | (5) |
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162 | (1) |
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163 | (2) |
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Chapter 9 Uncertainty Modeling --- Monte Carlo Analysis |
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165 | (26) |
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9.1 Representing the Uncertainty in Parameters |
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168 | (1) |
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169 | (8) |
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9.2.1 How does Monte Carlo work? |
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170 | (2) |
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9.2.2 Random sampling values from known distributions |
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172 | (1) |
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9.2.3 Triangular distribution derivation |
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173 | (2) |
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9.2.4 Random sampling from a data set |
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175 | (1) |
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9.2.5 Implementation challenges with Monte Carlo analysis |
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176 | (1) |
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177 | (2) |
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9.4 Example Monte Carlo Analysis |
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179 | (3) |
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9.5 Stratified Sampling (Latin Hypercube) |
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182 | (3) |
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9.5.1 Building a latin hypercube sample (LHS) |
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182 | (2) |
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184 | (1) |
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185 | (6) |
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185 | (1) |
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186 | (1) |
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186 | (5) |
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Chapter 10 Learning Curves |
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191 | (24) |
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10.1 Mathematical Models for Learning Curves |
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192 | (2) |
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10.2 Unit Learning Curve Model |
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194 | (1) |
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10.3 Cumulative Average Learning Curve Model |
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194 | (2) |
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10.4 Marginal Learning Curve Model |
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196 | (1) |
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10.5 Learning Curve Mathematics |
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196 | (5) |
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10.5.1 Unit learning data from cumulative average learning curves |
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196 | (2) |
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10.5.2 The slide property of learning curves |
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198 | (1) |
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10.5.3 The relationship between the learning index and the learning rate |
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198 | (1) |
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10.5.4 The midpoint formula |
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198 | (2) |
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10.5.5 Comparing learning curves |
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200 | (1) |
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10.6 Determining Learning Curves from Actual Data |
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201 | (5) |
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203 | (1) |
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203 | (3) |
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10.7 Learning Curves for Yield |
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206 | (9) |
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10.7.1 Gruber's learning curve for yield |
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207 | (1) |
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10.7.2 Hilberg's learning curve for yield |
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208 | (2) |
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10.7.3 Defect density learning |
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210 | (1) |
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210 | (1) |
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211 | (1) |
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212 | (3) |
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Part II Life-Cycle Cost Modeling |
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215 | (176) |
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217 | (2) |
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219 | (1) |
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219 | (2) |
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220 | (1) |
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221 | (14) |
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222 | (3) |
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225 | (5) |
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11.2.1 Failure distributions |
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225 | (3) |
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11.2.2 Exponential distribution |
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228 | (1) |
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11.2.3 Weibull distribution |
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229 | (1) |
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11.3 Qualification and Certification |
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230 | (3) |
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233 | (2) |
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233 | (1) |
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234 | (1) |
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234 | (1) |
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235 | (16) |
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12.1 Calculating the Number of Spares |
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237 | (5) |
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12.1.1 Multi-unit spares for repairable items |
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239 | (1) |
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12.1.2 Sparing for a kit of repairable items |
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240 | (1) |
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12.1.3 Sparing for large k |
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241 | (1) |
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242 | (4) |
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12.2.1 Spares cost example |
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244 | (1) |
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12.2.2 Extensions of the cost model |
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245 | (1) |
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12.3 Summary and Comments |
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246 | (5) |
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247 | (1) |
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247 | (1) |
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247 | (4) |
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Chapter 13 Warranty Cost Analysis |
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251 | (22) |
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254 | (1) |
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255 | (5) |
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13.2.1 The renewal function for constant failure rate |
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258 | (1) |
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13.2.2 Asymptotic approximation of M(t) |
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259 | (1) |
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13.3 Simple Warranty Cost Models |
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260 | (5) |
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13.3.1 Ordinary (non-renewing) free-replacement warranty cost model |
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260 | (1) |
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13.3.2 Pro-rata warranty cost Model |
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261 | (2) |
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13.3.3 Investment of the warranty reserve fund |
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263 | (1) |
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13.3.4 Other warranty reserve fund estimation models |
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264 | (1) |
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13.4 Two-Dimensional Warranties |
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265 | (3) |
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13.5 Warranty Service Costs --- Real Systems |
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268 | (5) |
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270 | (1) |
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271 | (2) |
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Chapter 14 Burn-In Cost Modeling |
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273 | (10) |
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275 | (3) |
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14.1.1 Cost of performing the burn-in |
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275 | (2) |
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14.1.2 The value of burn-in |
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277 | (1) |
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14.2 Example Burn-In Cost Analysis |
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278 | (1) |
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14.3 Effective Manufacturing Cost of Units That Survive Burn-In |
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279 | (2) |
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14.4 Burn-In for Repairable Units |
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281 | (1) |
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281 | (2) |
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281 | (1) |
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282 | (1) |
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282 | (1) |
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283 | (24) |
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15.1 Availability Contracting |
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284 | (1) |
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15.1.1 Product service systems (PSS) |
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285 | (1) |
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15.2 Availability Measures |
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285 | (6) |
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15.2.1 Time-interval-based availability measures |
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286 | (2) |
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15.2.2 Downtime-based availability measures |
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288 | (2) |
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15.2.3 Application-specific availability measures |
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290 | (1) |
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15.3 Maintainability and Maintenance Time |
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291 | (1) |
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15.4 Monte Carlo Availability Calculation Example |
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292 | (2) |
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15.5 Relating Availability to Spares |
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294 | (3) |
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15.5.1 Backorders and supply availability |
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294 | (2) |
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296 | (1) |
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15.6 Markov Availability Models |
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297 | (3) |
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300 | (1) |
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301 | (6) |
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303 | (1) |
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304 | (3) |
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Chapter 16 The Cost Ramifications of Obsolescence |
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307 | (22) |
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16.1 Managing Electronic Part Obsolescence |
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309 | (2) |
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311 | (8) |
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16.2.1 The newsvendor problem |
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312 | (3) |
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16.2.2 Application of the newsvendor optimization problem to electronic parts |
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315 | (4) |
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16.3 Strategic Management of Obsolescence |
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319 | (5) |
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16.3.1 Porter design refresh model |
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319 | (3) |
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16.3.2 MOCA design refresh model |
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322 | (1) |
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16.3.3 Material risk index (MRI) |
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323 | (1) |
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324 | (5) |
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16.4.1 Budgeting/bidding support |
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324 | (1) |
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16.4.2 Value of DMSMS management |
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325 | (1) |
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16.4.3 Software obsolescence |
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325 | (1) |
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326 | (1) |
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326 | (3) |
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Chapter 17 Return on Investment (ROI) |
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329 | (20) |
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329 | (2) |
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331 | (7) |
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17.2.1 ROI of a manufacturing equipment replacement |
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331 | (2) |
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17.2.2 Technology adoption ROI |
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333 | (5) |
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338 | (5) |
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17.4 Stochastic ROI Calculations |
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343 | (1) |
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344 | (5) |
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345 | (1) |
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345 | (4) |
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Chapter 18 The Cost of Service |
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349 | (14) |
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18.1 Why Estimate the Cost of a Service? |
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350 | (1) |
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18.2 An Engineering Service Example |
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351 | (1) |
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18.3 How to Estimate the Cost of an Engineering Service |
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352 | (1) |
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18.4 Application of the Service Costing Approach within an Industrial Company |
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353 | (7) |
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18.5 Bidding for the Service Contract |
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360 | (3) |
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361 | (1) |
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361 | (2) |
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Chapter 19 Software Development and Support Costs |
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363 | (16) |
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19.1 Software Development Costs |
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364 | (9) |
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365 | (3) |
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19.1.2 Function-point analysis |
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368 | (4) |
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19.1.3 Object-point analysis |
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372 | (1) |
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19.2 Software Support Costs |
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373 | (1) |
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374 | (5) |
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374 | (1) |
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375 | (1) |
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375 | (4) |
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Chapter 20 Total Cost of Ownership Examples |
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379 | (12) |
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20.1 The Total Cost of Ownership of Color Printers |
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379 | (3) |
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20.2 Total Cost of Ownership for Electronic Parts |
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382 | (9) |
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20.2.1 Part total cost of ownership model |
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384 | (4) |
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388 | (3) |
References |
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391 | (2) |
Appendix Notation |
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393 | (20) |
Index |
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413 | |