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Advances in Product Family and Product Platform Design

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Cover of 'Advances in Product Family and Product Platform Design'

Table of Contents

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    Book Overview
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    Chapter 1 A Review of Recent Literature in Product Family Design and Platform-Based Product Development
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    Chapter 2 Crafting Platform Strategy Based on Anticipated Benefits and Costs
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    Chapter 3 Multidisciplinary Domains Association in Product Family Design
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    Chapter 4 Modular Function Deployment: Using Module Drivers to Impart Strategies to a Product Architecture
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    Chapter 5 Emphasizing Reuse of Generic Assets Through Integrated Product and Production System Development Platforms
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    Chapter 6 Quantifying the Relevance of Product Feature Classification in Product Family Design
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    Chapter 7 Platform Valuation for Product Family Design
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    Chapter 8 A Proactive Scaling Platform Design Method Using Modularity for Product Variations
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    Chapter 9 Architectural Decomposition: The Role of Granularity and Decomposition Viewpoint
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    Chapter 10 Integrated Development of Modular Product Families: A Methods Toolkit
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    Chapter 11 Solving the Joint Product Platform Selection and Product Family Design Problem: An Efficient Decomposed Multiobjective Genetic Algorithm with Generalized Commonality
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    Chapter 12 One-Step Continuous Product Platform Planning: Methods and Applications
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    Chapter 13 Defining Modules for Platforms: An Overview of the Architecting Process
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    Chapter 14 A QFD-Based Optimization Method for Scalable Product Platform
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    Chapter 15 Cascading Platforms for Product Family Design
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    Chapter 16 Global Product Family Design: Simultaneous Optimal Design of Module Commonalization and Supply Chain Configuration
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    Chapter 17 Architecture-Centric Design Approach for Multidisciplinary Product Development
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    Chapter 18 Product Family Commonality Selection Using Optimization and Interactive Visualization
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    Chapter 19 Developing and Assessing Commonality Metrics for Product Families
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    Chapter 20 Managing Design Processes of Product Families by Modularization and Simulation
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    Chapter 21 Design Principles for Reusable Software Product Platforms
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    Chapter 22 Considering Human Variability When Implementing Product Platforms
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    Chapter 23 Building, Supplying, and Designing Product Families
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    Chapter 24 Modular Function Deployment Applied to a Cordless Handheld Vacuum
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    Chapter 25 Optimal Commonality Decisions in Multiple Ship Classes
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    Chapter 26 A Heuristic Approach to Architectural Design of Software-Intensive Product Platforms
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    Chapter 27 Customer Needs Based Product Family Sizing Design: The Viper Case Study
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    Chapter 28 Product Family Design and Recovery for Lifecycle
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    Chapter 29 Application of the Generational Variety Index: A Retrospective Study of iPhone Evolution
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    Chapter 30 Designing a Lawn and Landscape Blower Family Using Proactive Platform Design Approach
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Title
Advances in Product Family and Product Platform Design
Published by
Springer New York, August 2016
DOI 10.1007/978-1-4614-7937-6
ISBNs
978-1-4614-7936-9, 978-1-4939-5295-3, 978-1-4614-7937-6
Editors

Simpson, Timothy W., Jiao, Jianxin (Roger), Siddique, Zahed, Hölttä-Otto, Katja

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 190 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 2 1%
Iran, Islamic Republic of 1 <1%
Malaysia 1 <1%
North Macedonia 1 <1%
Unknown 185 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 27%
Student > Master 44 23%
Student > Bachelor 21 11%
Researcher 15 8%
Student > Doctoral Student 11 6%
Other 20 11%
Unknown 28 15%
Readers by discipline Count As %
Engineering 100 53%
Business, Management and Accounting 16 8%
Computer Science 16 8%
Design 15 8%
Social Sciences 2 1%
Other 5 3%
Unknown 36 19%