System Design Optimization for Product Manufacturing / Edition 1

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Overview

Product manufacturing is currently one of the most important activities that people perform, as it directly or indirectly affects the daily life and economic well-being of countless people around the world. It is likely to continue to have a profound effect on world economies by providing a large source of employment and, ideally, by creating products that positively affect the lives of numerous people.

For manufacturing to be successful in the long run, a broad range of factors must be taken into account when products are designed and developed. Product manufacturing today requires skilful decision-making in scenarios that are more complex and demanding than ever before, and the use of optimal system technologies has become essential. Readers of System Design Optimization for Product Manufacturing will learn about detailed concepts and practical technologies that enable successful product design and manufacture. These concepts and technologies are based on system optimization methodologies that consider a broad range of mechanical, as well as human, factors.

System Design Optimization for Product Manufacturing explains the methodologies behind current and future product manufacture. Its detailed explanations of key concepts are relevant not only for product design and manufacture, but also for other business fields. These core concepts and methodologies can be applied to practically any field where informed decision-making is important, and where a range of often conflicting factors must be carefully weighed and considered.

System Design Optimization for Product Manufacturing can be used as a fundamental reference book by both engineers and students in the fields of manufacturing, design engineering, and product development.

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Product Details

  • ISBN-13: 9781849960076
  • Publisher: Springer London
  • Publication date: 3/5/2010
  • Edition description: 2010
  • Edition number: 1
  • Pages: 216
  • Product dimensions: 6.40 (w) x 9.30 (h) x 0.70 (d)

Meet the Author

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.

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Table of Contents

1 Progression of Product Manufacturing Technologies 1

1.1 Introduction to Product Manufacturing 1

1.2 Historical Changes in Product Manufacturing Methodology Paradigms 4

Exercises 7

2 Evaluative Criteria for Product Manufacturing and Optimization Fundamentals 9

2.1 Evaluative Items and Criteria in Product Manufacturing 9

2.1.1 Product Quality and Product Performance 10

2.1.2 Manufacturing Cost 10

2.1.3 Product Demand, Lead Time, Inventory, and Delivery 11

2.1.4 Items Pertaining to Production Method 13

2.1.5 Flexibility in Manufacturing 15

2.1.6 Processing Capability 17

2.1.7 Safety and Reliability 19

2.1.8 Natural Environment and Natural Resources 20

2.1.9 Mental Satisfaction Level 21

2.2 Criteria Requirements 22

2.3 Relationships Between Criteria and Optimization 26

Exercises 32

References 33

3 Technologies for Product Manufacturing Innovation 35

3.1 Generation of Better Products from Wider Feasibilities 35

3.2 Generation from Conceptual Design Stages 36

3.3 Concurrent Engineering 37

3.4 Collaboration 46

Exercises 55

References 55

4 Involvement of People in Product Manufacturing 57

4.1 Roles of Individuals in Product Manufacturing 57

4.1.1 Human Abilities 57

4.1.2 Relationships Between Customers and Manufacturers 59

4.2 Kansei Engineering 60

4.3 Ergonomics 69

4.4 Collaboration Circumstances 74

Exercises 77

References 78

5 Product Manufacturing Support Technologies 79

5.1 Representative Supporting Systems 79

5.1.1 Product Shape Description Technologies 80

5.1.2 Technologies for Analysis of Performance Characteristics 83

5.1.3 Technologies that Support Generation of Product Ideas 85

5.1.4 Database Technologies 90

5.1.5 Manufacturing Support Technologies 91

5.1.6 Technologies to Acquire Information Concerning Customer Needs 107

5.1.7 Technologies Supporting Enterprise Management 110

5.2 Utilization of information Technology for Product Manufacturing 111

Exercises 114

References 115

6 Optimization Technologies for Product Manufacturing 117

6.1 Fundamental Optimization Technologies and Difficulties in their Application 117

6.1.1 Linear Programming Problems 118

6.1.2 Nonlinear Programming Problems and Local Optimum Solutions 118

6.1.3 Multiobjective Optimization Problems 123

6.1.4 Optimization Problems Including Discrete Variables 126

6.1.5 Genetic Algorithms (GAs) 129

6.1.6 Large Scale Optimization Problems 130

6.2 Fundamental Strategies for Effectively Applying Optimization Methods 131

6.3 Fundamental System Optimization Approaches 134

6.3.1 Decision-making Sequence Applied to Task Operations and Optimization of Evaluative Characteristics 134

6.3.2 Two Stage Integrated Optimization 138

6.4 System Design Optimization Strategies 145

6.4.1 Features of Machine Product Characteristics and Fundamental Optimization Strategies 145

6.4.2 Priority Relationships among Characteristics 148

6.4.3 Creation of Hierarchical Optimization 152

6.4.4 Conflicting Relationships Between Characteristics 153

6.4.5 Construction of Hierarchical Optimization Procedures 153

6.4.6 Practical Procedures for Product Optimization 155

6.4.7 Discussion Concerning System Design Optimization 162

6.5 Optimum Selection Method for Alternative Design Solutions 162

Exercises 167

References 167

7 Decision-making Methods 171

7.1 Decision-making Difficulties and Fundamentals of Decision-making 171

7.1.1 Decision-making Difficulties 171

7.1.2 Fundamental Schemes to Facilitate Decision-making 172

7.2 Fundamentals of Decision-making 173

7.2.1 Method for Selecting the Best Alternatives when There Are Many Evaluative Factors 173

7.2.2 Calculation of Weighting Coefficients for Attributes Using the Pair Comparison Method 173

7.2.3 Finding the Best Alternative from Among Several Alternatives Using the Analytic Hierarchy Process (AHP) Method 176

7.2.4 Decision-making Using Subjective Probability Under Uncertain Circumstances 177

7.2.5 Decision-making Considering Personal Preferences of a Decision-maker 179

7.3 Methodologies for Decision-making in Collaborative Circumstances 181

Exercises 184

References 184

8 Design Optimization for Creativity and Balance 185

8.1 Creativity Optimization Based on Collaborative Effort 185

8.2 Cultural Impact of Product Manufacturing 189

Exercises 190

References 191

Index 193

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