Abstract
To promote the level of reusing the accumulated design knowledge in the company, we intend to develop a knowledge reuse model in this paper. First, the design knowledge is discussed, and a unified design knowledge model is proposed. Following that, we identify three design knowledge reuse patterns which contribute to the understanding of how designers reuse knowledge during the design process. Based on that, we propose a design knowledge reuse model. This model can provide design knowledge according to the design knowledge reuse patterns. The model also provides the ability to update itself according to the captured actions of the knowledge users. At last, the method is validated with a research cooperator on the hydropneumatic spring component.
Highlights
A large number of researchers appeal that the active utilization of a company’s knowledge is vital to maintaining competitive advantage in today’s knowledge-based economy, within design and manufacturing environments [1,2,3]
The ontology provides the flexibility to change the structure of design knowledge, and the reference mechanism provides the ability to handle complex semantic relationship. This model can be used as a middleware when developing the design knowledge system. This middleware can deal with the complex semantic relationship, and can record the actions of the knowledge users and change itself according to these actions
We developed a knowledge reuse model which takes the knowledge user into account
Summary
A large number of researchers appeal that the active utilization of a company’s knowledge is vital to maintaining competitive advantage in today’s knowledge-based economy, within design and manufacturing environments [1,2,3]. The reuse of existing design knowledge benefits both new design and redesign. The levels of knowledge reuse in manufacturing companies are significantly low [4]. To promote the level of design knowledge reuse, many research works are carried out. Researches on design knowledge management focus on content search by matching keyword and file name. The most important drawback is that design knowledge is often incomplete or is not adequately defined at a detailed level for current information search methods. Many techniques from artificial intelligence (AI), like case-based reasoning (CBR) and Bayesian network, are adopted to solve the problem of design knowledge reuse [2, 4]. Many researchers point out that further effort is required to understand the needs of knowledge user and producers in order that appropriate methods can be applied [4, 6, 8]
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