Title: A structural matrix-based modelling for designing product variety
Authors: Ding-Bang Luha, Yao-Tsung Koa* & Chia-Hsiang Maaa
ABSTRACT: The design process is an important stage in new product development. An information model is a useful tool for analysing and improving a complex design process and product architecture because it allows the designer to visualise information flow. Based on graph theory and the weighting concept, this paper presents a quantified design structure matrix, which is a systematic planning method of optimising 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, the planning model is divided into two phases: global planning and local planning. The proposed method helps designers optimise design planning and plan better design strategies for product variety. It can be applied in developing future generations of a product based on an existing product. A case study is used to illustrate this method. The results verify that designers can concurrently create variant design solutions in a product family that can meet different market needs without extra effort being spent on redundant design loops
My notes: This paper received the Best Paper Award in this journal. It is an exemplary type of research from this community. As such, the assumptions, the methods and the goals of this type of paper deserve a careful analysis. I'm not judging here the quality of this work (which I assume to be very high therefore the prize), what is much more relevant is the disciplinary traditions reflected by this paper. One can argue whether this research is transformative or incrementa, whether it seeks to evolve or improve practice, or whether it extends our understanding or refines our practice. The claims are equally interesting, worth discussing the real degree and scope of generalisation. No doubt a reference paper.
Authors: Ding-Bang Luha, Yao-Tsung Koa* & Chia-Hsiang Maaa
ABSTRACT: The design process is an important stage in new product development. An information model is a useful tool for analysing and improving a complex design process and product architecture because it allows the designer to visualise information flow. Based on graph theory and the weighting concept, this paper presents a quantified design structure matrix, which is a systematic planning method of optimising 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, the planning model is divided into two phases: global planning and local planning. The proposed method helps designers optimise design planning and plan better design strategies for product variety. It can be applied in developing future generations of a product based on an existing product. A case study is used to illustrate this method. The results verify that designers can concurrently create variant design solutions in a product family that can meet different market needs without extra effort being spent on redundant design loops
My notes: This paper received the Best Paper Award in this journal. It is an exemplary type of research from this community. As such, the assumptions, the methods and the goals of this type of paper deserve a careful analysis. I'm not judging here the quality of this work (which I assume to be very high therefore the prize), what is much more relevant is the disciplinary traditions reflected by this paper. One can argue whether this research is transformative or incrementa, whether it seeks to evolve or improve practice, or whether it extends our understanding or refines our practice. The claims are equally interesting, worth discussing the real degree and scope of generalisation. No doubt a reference paper.
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