System Design Optimization for Product Manufacturing (eBook)

Masataka Yoshimura has almost four decades of experience in the design and analysis of industrial machines, in research concerning the optimization of manufacturing systems, and in research and development of system optimization methods. He is a professor at Kyoto University, Japan, where he received his doctorate in engineering. In 2007 he was made a fellow of the Japan Society for Precision Engineering and received the society's Achievement Award.

Preface 5
Contents 8
About the Author 11
1 Progression of Product ManufacturingTechnologies 12
1.1 Introduction to Product Manufacturing 12
1.2 Historical Changes in Product Manufacturing Methodology Paradigms 15
Exercises 18
2 Evaluative Criteria for Product Manufacturing and Optimization Fundamentals 20
2.1 Evaluative Items and Criteria in Product Manufacturing 20
2.1.1 Product Quality and Product Performance 21
2.1.2 Manufacturing Cost 21
2.1.3 Product Demand, Lead Time, Inventory, and Delivery 22
2.1.4 Items Pertaining to Production Method 24
2.1.5 Flexibility in Manufacturing 26
2.1.6 Processing Capability 28
2.1.7 Safety and Reliability 30
2.1.8 Natural Environment and Natural Resources 31
2.1.9 Mental Satisfaction Level 32
2.2 Criteria Requirements 33
2.3 Relationships Between Criteria and Optimization 37
Exercises 43
References 44
3 Technologies for Product Manufacturing Innovation 46
3.1 Generation of Better Products from Wider Feasibilities 46
3.2 Generation from Conceptual Design Stages 47
3.3 Concurrent Engineering 48
3.4 Collaboration 57
Exercises 66
References 66
4 Involvement of People in Product Manufacturing 68
4.1 Roles of Individuals in Product Manufacturing 68
4.1.1 Human Abilities 68
4.1.2 Relationships Between Customers and Manufacturers 70
4.2 Kansei Engineering 71
4.3 Ergonomics 80
4.4 Collaboration Circumstances 85
Exercises 88
References 89
5 Product Manufacturing Support Technologies 90
5.1 Representative Supporting Systems 90
5.1.1 Product Shape Description Technologies 91
5.1.2 Technologies for Analysis of Performance Characteristics 94
5.1.3 Technologies that Support Generation of Product Ideas 96
5.1.4 Database Technologies 101
5.1.5 Manufacturing Support Technologies 102
5.1.6 Technologies to Acquire Information Concerning Customer Needs 118
5.1.7 Technologies Supporting Enterprise Management 121
5.2 Utilization of Information Technology for Product Manufacturing 122
Exercises 125
References 126
6 Optimization Technologies for Product Manufacturing 128
6.1 Fundamental Optimization Technologies and Difficulties in their Application 128
6.1.1 Linear Programming Problems 129
6.1.2 Nonlinear Programming Problems and Local Optimum Solutions 129
6.1.3 Multiobjective Optimization Problems 134
6.1.4 Optimization Problems Including Discrete Variables 137
6.1.5 Genetic Algorithms (GAs) 140
6.1.6 Large Scale Optimization Problems 141
6.2 Fundamental Strategies for Effectively Applying Optimization Methods 142
6.3 Fundamental System Optimization Approaches 145
6.3.1 Decision-making Sequence Applied to Task Operations and Optimization of Evaluative Characteristics 145
6.3.2 Two Stage Integrated Optimization 149
6.4 System Design Optimization Strategies 156
6.4.1 Features of Machine Product Characteristics and Fundamental Optimization Strategies 156
6.4.2 Priority Relationships among Characteristics 159
6.4.3 Creation of Hierarchical Optimization 163
6.4.4 Conflicting Relationships Between Characteristics 164
6.4.5 Construction of Hierarchical Optimization Procedures 164
6.4.6 Practical Procedures for Product Optimization 166
6.4.7 Discussion Concerning System Design Optimization 173
6.5 Optimum Selection Method for Alternative Design Solutions 173
Exercises 178
References 179
7 Decision-making Methods 182
7.1 Decision-making Difficulties and Fundamentals of DecisionMaking 182
7.1.1 Decision-making Difficulties 182
7.1.2 Fundamental Schemes to Facilitate Decision-making 183
7.2 Fundamentals of Decision-making 184
7.2.1 Method for Selecting the Best Alternatives when There Are Many Evaluative Factors 184
7.2.2 Calculation of Weighting Coefficients for Attributes Using the Pair Comparison Method 184
7.2.3 Finding the Best Alternative from Among Several Alternatives Using the Analytic Hierarchy Process (AHP) Method 187
7.2.4 Decision-making Using Subjective Probability Under Uncertain Circumstances 188
7.2.5 Decision-making Considering Personal Preferences of a Decision-maker 190
7.3 Methodologies for Decision-making in Collaborative Circumstances 192
Exercises 195
References 195
8 Design Optimization for Creativity and Balance 196
8.1 Creativity Optimization Based on Collaborative Effort 196
8.2 Cultural Impact of Product Manufacturing 200
Exercises 201
References 202
Index 204