Abstract
New product development (NPD) and innovation are key factors that affect a company’s long-term survival and growth. The design process is an important stage in new product development (NPD). Based on graph theory and the weighting concept , this paper presents a Quantified Design Structure Matrix (QDSM) which is a systematic planning method of optimizing design priorities and product architecture for managing product variety from an informational structure perspective. Focusing on product variety and the design process in concurrent engineering (CE), the planning model is divided into two phases: global planning and local planning. The proposed method helps designers optimize the design planning and plan better design strategies for product variety. A case study is used to illustrate this method. The results verify that designers may concurrently create variant design solutions in a product family that can meet different market needs without extra effort being spent on redundant design loops.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
