Research Article
A Product Design Path Decision Method for Multi-Source Design Requirements
@INPROCEEDINGS{10.4108/eai.17-6-2022.2322737, author={Lei Wang and Yuanrong Zhang and Hongyu Shao and Yu Liu and Jiangtao Huang}, title={A Product Design Path Decision Method for Multi-Source Design Requirements}, proceedings={Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China}, publisher={EAI}, proceedings_a={ICIDC}, year={2022}, month={10}, keywords={adaptability analysis of design requirements; design path decision}, doi={10.4108/eai.17-6-2022.2322737} }
- Lei Wang
Yuanrong Zhang
Hongyu Shao
Yu Liu
Jiangtao Huang
Year: 2022
A Product Design Path Decision Method for Multi-Source Design Requirements
ICIDC
EAI
DOI: 10.4108/eai.17-6-2022.2322737
Abstract
As two design paths to meet the design needs, product change and product innovation adopt different technical methods and implementation characteristics. After the product design demand is put forward, if the product design path cannot be reasonably selected according to the demand characteristics, but blindly implement a certain path, it may affect the product design quality and produce additional production and manufacturing costs. This paper puts forward the method of product demand-oriented design. Firstly, according to the characteristics of design information domain in product design information association model, multi-source product design requirements are divided into functional requirements, structural requirements and parameter requirements, and the adaptability evaluation method of products to three types of requirements is proposed. Finally, a product design path decision method based on the evaluation results of three types of demand adaptability is proposed. As the evaluation standard of whether the product change can be implemented, this method can quickly enter the product design implementation stage, so as to speed up the response speed of enterprise demand and reduce the waste of unnecessary design resources.