Design structure network (DSN): a method to make explicit the product design specification process for mass customization

2020 ◽  
Vol 31 (2) ◽  
pp. 197-220
Author(s):  
Guilherme Branco Loureiro ◽  
Joao Carlos Espindola Ferreira ◽  
Paulo Henrique Zen Messerschmidt
Author(s):  
Shuyi Wang ◽  
Daizhong Su ◽  
You Wu ◽  
Zijian Chai

Abstract An approach for integrating life-cycle assessment (LCA) into the eco-design of lighting products was developed, and LCAs of five lighting products that are currently on the market were then carried out using this approach. Based on the results of these LCAs, the sustainability requests for lighting products were derived and embedded into the product design specification (PDS), thus ensuring that any product developed according to the PDS would have the desired eco-design features. A new sustainable lighting product was then designed according to the PDS and manufactured, after which the new product underwent LCA. Upon comparing the results of the LCA of the new product with the LCA results for the existing lighting products, the newly designed product was found to provide better environmental performance than the existing products (a 27–58% reduction in environmental impact).


2005 ◽  
Vol 5 (4) ◽  
pp. 381-387 ◽  
Author(s):  
Zahed Siddique ◽  
Karunakar Boddu

In order to provide products that can be tailored to the need of the customer, it is necessary to integrate the customer into the design process. In this paper we present a mass customization computer-aided design (CAD) framework that helps to integrate the customer into the design of user-configurable products. A template approach, which considers both modularity and scaling, is utilized to concisely represent a CAD model of the entire family. The system accepts user selections and parameters to automatically create a CAD model of the customized product in real time and then shows the model to the user. The system is implemented using PRO/ENGINEER and demonstrated through customization of bicycle frames.


2022 ◽  
Vol 12 (1) ◽  
pp. 0-0

This research aims to identify the effects of perceived product value and flow experience during product design on willingness to pay (WTP) and purchase probability in online mass customization. The participants were asked to design shoes to their taste in a custom shoe website. After the design experience, the participants were asked to complete the questionnaire. The analyses suggest that flow experience has a direct effect on consumers’ WTP and an indirect effect on purchase probability through the mediating role of perceived value of mass customized products. Furthermore, perceived value of a mass customized product has a significant effect on purchase probability and no effect on WTP found in the analyses.


2005 ◽  
pp. 1688-1717 ◽  
Author(s):  
Xuan F. Zha ◽  
Ram D. Sriram ◽  
Wen F. Lu ◽  
Fu J. Wang

Author(s):  
David R. Wallace ◽  
Shaun M. Abrahamson ◽  
Nicholas P. Borland

Abstract Refinement of product design processes is recognized as a means for organizations to impact lead times, cost, and quality. Although methods such as the design structure matrix (DSM) exist to analyze design processes, their applications have been limited by overhead in collecting data and maintaining accurate representations. Representation timeliness and resolution issues have typically led to static, high-level process views. In this work, the design process is derived dynamically from an evolving network of design resources inter-related by service dependencies. This network is created to simulate the state of a product design. Through the analysis of resulting dependencies, high-resolution networks of task and parameter interdependency can be extracted. A software module is developed to provide the service of automatically extracting and analyzing the structure of service exchanges in integrated design models. The module provides a matrix or DSM visualization of service relationships and mechanisms to sort resources according to service priority. This allows for realtime evaluation of design processes as models of the product evolve, providing information to guide the strategic addition of resources.


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