Preface |
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xv | |
Acknowledgments |
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xix | |
On the CIRP Design Book Series |
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xxiii | |
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Introduction to Axiomatic Design |
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1 | (66) |
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1 | (1) |
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Current State of Design Practice |
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1 | (1) |
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Who Are the Designers? How Do We Design? What Is Design? |
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2 | (3) |
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What Is the Ultimate Goal of Axiomatic Design? |
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5 | (1) |
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Role of Axioms in Development of Science and Technology: A Historical Perspective |
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6 | (3) |
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Axiomatic Approach versus Algorithmic Approach |
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9 | (1) |
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Axiomatic Design Framework |
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10 | (43) |
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10 | (2) |
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12 | (2) |
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Mapping from Customer Needs to Functional Requirements |
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14 | (2) |
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The First Axiom: The Independence Axiom |
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16 | (6) |
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Ideal Design, Redundant Design, and Coupled Design: A Matter of Relative Numbers of DPs and FRs |
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22 | (2) |
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Examples Involving Decoupling of Coupled Designs |
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24 | (5) |
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Decomposition, Zigzagging, and Hierarchy |
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29 | (8) |
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Requirements for Concurrent Engineering |
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37 | (2) |
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The Second Axiom: The Information Axiom |
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39 | (6) |
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Reduction of the Information Content: Robust Design |
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45 | (5) |
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Reduction of the Information Content through Integration of DPs |
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50 | (1) |
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Designing with Incomplete Information |
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51 | (2) |
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Common Mistakes Made by Designers |
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53 | (4) |
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Comparison of Axiomatic Design with Other Methodologies |
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57 | (1) |
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58 | (9) |
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59 | (1) |
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60 | (5) |
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65 | (2) |
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One-FR Design, the Information Axiom, and Robust Design |
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67 | (42) |
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67 | (1) |
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Introduction to One-FR Design |
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68 | (5) |
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One-FR Design versus Multi-FR Design |
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69 | (1) |
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Minimization of the Information Content |
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70 | (3) |
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Design Issues for the One-FR Design |
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73 | (1) |
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One-FR Design and Information Content |
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74 | (21) |
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One-FR Design with No Constraints |
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74 | (12) |
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One-FR Design with Constraints |
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86 | (2) |
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Nonlinear One-FR Design with Constraints |
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88 | (7) |
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Elimination of Bias and Reduction of Variance |
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95 | (1) |
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95 | (5) |
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Determination of Tolerances for Robust Design |
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95 | (1) |
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Effect of Noise on FRs in Design and Manufacturing |
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96 | (3) |
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Robustness and the Rate of Response in Nonlinear Design |
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99 | (1) |
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100 | (2) |
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102 | (7) |
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102 | (1) |
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Stress in a Thick Wall Tube |
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102 | (3) |
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Discrete Random Variables: Expected Value, Variance, and Standard Deviation |
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105 | (1) |
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Continuous Random Variables: Expected Value, Variance, Standard Deviation, and Multivariate Random Variables |
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106 | (2) |
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108 | (1) |
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109 | (83) |
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109 | (3) |
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Brief Review of Axiomatic Theory for Multi-FR Designs |
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112 | (2) |
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The Independence Axiom and the Information Axiom: Their Implications for a Multi-FR Design Task |
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114 | (2) |
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116 | (8) |
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Uncoupled and Decoupled Multi-FR Designs |
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124 | (18) |
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Propagation of Tolerances in Uncoupled, Decoupled, and Coupled Designs and Its Implication for Design Robustness |
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124 | (2) |
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Examples of Multi-FR Design |
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126 | (16) |
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Information Content, Complexity, and Noise of Multi-FR Design |
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142 | (11) |
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The Relationship between Complexity and Information Content |
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142 | (4) |
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Determination of Information Content of Uncoupled, Decoupled, and Coupled Designs |
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146 | (6) |
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Accommodating Noise in the Design Process |
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152 | (1) |
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Integration of DPs to Minimize the Information Content |
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153 | (1) |
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Nonlinear Multi-FR Design |
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154 | (2) |
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Design of Dispatching Rules and Schedules: Avoiding Traffic Congestion |
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156 | (6) |
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Dispatching Rules and the Independence Axiom |
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158 | (1) |
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158 | (4) |
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Axiomatic Design Basis for Robust Design |
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162 | (12) |
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162 | (3) |
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165 | (2) |
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Information Content of Multi-FR Design |
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167 | (7) |
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174 | (18) |
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174 | (1) |
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Independence of the Two Design Axioms |
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174 | (3) |
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Corollaries and Theorems Related to Information and Complexity |
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177 | (2) |
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Probability of Success of Decoupled and Uncoupled Designs When There Is No Bias |
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179 | (6) |
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Why Coupling in Design Should Be Avoided |
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185 | (2) |
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187 | (5) |
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192 | (47) |
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192 | (3) |
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Issues Related to System Design |
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195 | (1) |
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Classification of Systems |
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195 | (1) |
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Axiomatic Design Theory for Fixed Systems |
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196 | (5) |
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Design and Operation of Large Systems |
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201 | (6) |
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Introduction to Large System Issues |
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201 | (1) |
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201 | (1) |
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Definition of a Large Flexible System |
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202 | (1) |
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Axiomatic Design of a Large Flexible System |
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203 | (2) |
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System Synthesis through Physical Integration of DPs |
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205 | (1) |
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On Designing the Best Large Flexible System |
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205 | (1) |
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Theorems Related to the Design of Large Systems |
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206 | (1) |
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Representation of the System Architecture of Fixed Systems |
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207 | (27) |
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Hierarchies in Design Domains through Decomposition of FRs, DPs, and PVs: A Representation of the System Architecture |
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208 | (1) |
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Design Matrix and Module-Junction Diagrams: Another Means of System Representation |
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209 | (2) |
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Flow Diagram: A Representation of System Architecture |
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211 | (2) |
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System Control Command (SCC) |
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213 | (21) |
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Mathematical Modeling, Simulation, and Optimization of Systems |
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234 | (1) |
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Application of the Flow Diagram of the System Architecture |
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235 | (1) |
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On Human-Machine Interface |
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235 | (1) |
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236 | (3) |
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237 | (1) |
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237 | (2) |
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Axiomatic Design of Software |
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239 | (62) |
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239 | (5) |
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Axiomatic Design Theory for Software Design |
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244 | (5) |
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Review of the Axiomatic Design Process for Software |
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245 | (4) |
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Application of the Flow Diagram |
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249 | (1) |
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249 | (17) |
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Axiomatic Design of Object-Oriented Software Systems |
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266 | (13) |
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Object-Oriented Techniques |
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266 | (4) |
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Modified OOT for Compatibility with Axiomatic Design |
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270 | (1) |
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Basics of Axiomatic Design of Object-Oriented Software Systems |
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271 | (8) |
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Axiomatic Design of Object-Oriented Software System for Designers: Acclaro Software |
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279 | (7) |
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279 | (1) |
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Axiomatic Design of Acclaro Software |
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280 | (1) |
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Axiomatic Design on the FR1141 Branch |
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281 | (1) |
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Object-Oriented Model: Bottom-Up Approach |
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281 | (3) |
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Coding with the System Architecture |
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284 | (2) |
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Design of Rapid-Prototyping Software for Real-Time Control of Hardware/Software System |
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286 | (5) |
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291 | (1) |
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Other Issues Related to Software Design |
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292 | (3) |
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292 | (1) |
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292 | (1) |
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Knowledge and Information Requirements in Software Design |
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293 | (2) |
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Implications of the Information Axiom in Software Design |
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295 | (1) |
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Qualitative Implementation of the Information Axiom |
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295 | (1) |
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Quantitative Measure of the Information Content |
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295 | (1) |
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296 | (5) |
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297 | (1) |
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298 | (3) |
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Axiomatic Design of Manufacturing Systems |
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301 | (40) |
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301 | (5) |
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Basic Requirements of a Manufacturing System |
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306 | (1) |
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Elements of Manufacturing Systems |
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307 | (2) |
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Axiomatic Design of Fixed Manufacturing Systems for Identical Parts |
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309 | (8) |
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Highest Level Design of a Fixed Manufacturing System |
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309 | (3) |
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Analytical Solutions for Queues in Decouplers |
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312 | (5) |
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Axiomatic Design of a Flexible Manufacturing System for Different Types of Parts |
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317 | (14) |
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Mathematical Modeling and Optimization of Design |
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331 | (1) |
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Representation of Manufacturing System Architecture |
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331 | (5) |
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336 | (5) |
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337 | (1) |
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338 | (3) |
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Axiomatic Design of Materials and Materials-Processing Techniques |
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341 | (35) |
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341 | (2) |
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343 | (9) |
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343 | (1) |
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Design of Dispersion-Strengthened Metals: Mapping from the Functional Domain to the Physical Domain |
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344 | (2) |
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Design of the Process: Mapping from the Physical Domain to the Process Domain |
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346 | (1) |
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Further Development of the Process |
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347 | (3) |
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350 | (1) |
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Properties of Mixalloys: Dispersion-Strengthened Copper |
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350 | (2) |
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352 | (18) |
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Introduction to Microcellular Plastics |
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352 | (2) |
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Design of a Batch Process |
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354 | (1) |
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Design of Continuous Process |
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355 | (13) |
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Performance of Microcellular Plastics |
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368 | (1) |
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Other Advantages of the MuCell Process |
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369 | (1) |
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Layered Manufacturing Processes for Rapid Prototyping |
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370 | (2) |
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Design of Layered Manufacturing Processes |
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371 | (1) |
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Information Content of Layered Manufacturing Processes |
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372 | (1) |
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372 | (4) |
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372 | (2) |
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374 | (2) |
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376 | (94) |
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376 | (8) |
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Important Questions to Ask before Developing a New Product |
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378 | (2) |
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Basic Requirements of Product Manufacture |
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380 | (1) |
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How Should Companies Avoid Making Mistakes during Product Development? |
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380 | (2) |
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What Have Universities Done in This Area? |
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382 | (1) |
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Customization of Products to Satisfy Individual Customers |
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383 | (1) |
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Total Quality Management (TQM) |
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384 | (1) |
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Mapping from the Customer Domain to the Functional Domain |
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384 | (6) |
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385 | (3) |
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For New Innovative Products |
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388 | (2) |
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390 | (5) |
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Decomposition of FS2 and DP2 |
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393 | (2) |
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Application of the Information Axiom |
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395 | (4) |
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395 | (1) |
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396 | (3) |
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Case Study---Depth Charge |
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399 | (7) |
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399 | (1) |
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Effectively Searching for Potential Design Solutions |
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400 | (1) |
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Design of the Depth Charge Initiator |
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400 | (6) |
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Chemical-Mechanical Planarization (CMP) Machine |
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406 | (55) |
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Design of the Mechanical System |
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407 | (34) |
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Axiomatic Development of CMP α Machine Control System |
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441 | (20) |
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Concurrent Engineering: Mapping from FR to DP to PV |
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461 | (1) |
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462 | (2) |
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464 | (1) |
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464 | (6) |
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465 | (1) |
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465 | (5) |
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A Theory of Complexity: The Design Axioms, Information, Complexity, and Periodicity |
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470 | (31) |
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470 | (3) |
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Complexity, Uncertainty, Information, and Periodicity |
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473 | (11) |
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473 | (1) |
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474 | (1) |
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Time-Independent Complexities: Real Complexity, Imaginary Complexity, and Absolute Complexity |
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475 | (8) |
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Time-Dependent Complexity: Combinatorial Complexity and Periodic Complexity |
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483 | (1) |
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Reduction of Uncertainty: Conversion of a Design with Time-Dependent Combinatorial Complexity to a Design with Time-Dependent Periodic Complexity |
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484 | (10) |
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Distinction between Time-Independent and Time-Dependent Complexities |
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494 | (1) |
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Other Implications of the Design Axioms and Periodic Complexity: A Speculation |
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495 | (2) |
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495 | (1) |
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Biological Systems and Living Beings |
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495 | (1) |
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496 | (1) |
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Complexity of Natural Phenomena |
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497 | (1) |
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498 | (3) |
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499 | (1) |
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499 | (2) |
Index |
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501 | |