scholarly journals Optimal Product Design: Implications for Competition and Growth under Declining Search Frictions

2021 ◽  
Author(s):  
Guido Menzio
Keyword(s):  
Product Design ◽  
Search Frictions ◽  
Optimal Product Design

Optimal product design using conjoint analysis: Computational complexity and algorithms

1989 ◽  
Vol 40 (2) ◽  
pp. 186-195 ◽  
Author(s):  
Rajeev Kohli ◽  
Ramesh Krishnamurti
Keyword(s):  
Computational Complexity ◽  
Product Design ◽  
Conjoint Analysis ◽  
Optimal Product Design

Minimum Return Guarantees - Information Asymmetries and Optimal Product Design

2012 ◽  
Author(s):  
Antje Brigitte Mahayni ◽  
Judith C. Schneider
Keyword(s):  
Product Design ◽  
Information Asymmetries ◽  
Optimal Product Design

scholarly journals Optimal Product Design Method with Digital Human Modeling for Physical Workload Reduction:

2017 ◽  
Vol 53 (2) ◽  
pp. 25-35
Author(s):  
Takanori CHIHARA ◽  
Naoko FUKUCHI ◽  
Akihiko SEO
Keyword(s):  
Product Design ◽  
Design Method ◽  
Physical Workload ◽  
Digital Human Modeling ◽  
Human Modeling ◽  
Optimal Product Design ◽  
Workload Reduction ◽  
Digital Human

A Customer-Driven Approach to One-of-a-Kind Product Design

2007 ◽  
Author(s):  
Huijun Song ◽  
Deyi Xue ◽  
Yiliu Tu
Keyword(s):  
Product Design ◽  
Technical Level ◽  
Customer Requirements ◽  
Industrial Case Study ◽  
Product Families ◽  
Decomposition Approach ◽  
Function Decomposition ◽  
Optimal Product Design ◽  
Different Levels

This research addresses the issues to identify the optimal product design based on individual customer requirements in one-of-a-kind production (OKP). In this work, a function decomposition approach is introduced for modeling the variations of design functions, configurations, and parameters in generic OKP product families. Requirements of individual customers are modeled at two different levels: function level and technical level. Customized OKP products are created from the generic OKP product families based on customer requirements. The optimal product design is identified from feasible design candidates through optimization. An industrial case study is given to demonstrate the effectiveness of the introduced approach.

Grey-based Taguchi Method to Optimize the Multi-response Design of Product Form Design

2021 ◽  
Vol 20 (2) ◽  
pp. 136
Author(s):  
Sugoro Bhakti Sutono
Keyword(s):  
Taguchi Method ◽  
Product Design ◽  
Optimization Problems ◽  
Optimization Method ◽  
Product Form ◽  
Design Parameters ◽  
Optimal Product Design ◽  
Form Design ◽  
Response Optimization ◽  
Product Form Design

This paper presents a multi-response optimization method that uses the grey-based Taguchi method as the integrative product form design optimization method, and it serves as a tool for product form design to determine the optimal combination of design parameters in Kansei engineering (KE). This method is unique in that it combines the Taguchi method (TM) and grey relational analysis (GRA), allowing it to take advantage of the benefits of both methods. The TM is used to design experiments and generate combinative product form design samples which can be used to improve product quality. The GRA is applied to multi-response optimization problems. Factor effect analysis and analysis of variance (ANOVA) are used to determine which combinations of design parameters will result in the optimal product design. To demonstrate the applicability of the grey-based TM, a case study of a car form design is presented, and a confirmation test is performed to verify the performance of the optimal product design. The results show that the grey-based TM can deal with optimization problems with multiple Kansei responses and determine an optimal car form design that is representative of the consumers' perception in a systematic manner. The confirmation test results also show that the optimal product design generated by the grey-based TM can be used to improve the overall quality of a product form.

Optimal Product Design Method with Digital Human Modeling to Reduce Physical Workload

2016 ◽  
Vol 2016.26 (0) ◽  
pp. 2506
Author(s):  
Takanori CHIHARA ◽  
Naoko FUKUCHI ◽  
Akihiko SEO
Keyword(s):  
Product Design ◽  
Design Method ◽  
Physical Workload ◽  
Digital Human Modeling ◽  
Human Modeling ◽  
Optimal Product Design ◽  
Digital Human
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