Browsing by Author "Lo, Ying-Fu"

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A case-based reasoning approach to generating new product ideas
(2006-08-01)
Wu, Muh-Cherng
;
Lo, Ying-Fu
;
Hsu, Shang-Hwa
;
工業工程與管理學系
;
Department of Industrial Engineering and Management
This paper presents an approach to facilitate the generation of new product ideas. In this approach, a product is represented by a vector, which involves a number of product attributes. These attributes are defined based on the user-centered design (UCD) paradigm. That is, the context of use and interactions with users for the product is described by these attributes. By the product representation, a product database can be established. For a benchmarking product, we use the case-based reasoning (CBR) technique to retrieve those products, which are "sufficiently relevant" to the benchmarking one, from the database. The functions of the retrieved products are the candidate new ideas to be added on the benchmarking product. These retrieved products are screened manually to identify creative and valuable ideas. A prototype system of this approach has been implemented. Experiments show that the proposed approach outperforms the brainstorming technique, which has been widely used in industry.
A case-based reasoning approach to generating new product ideas
(2006-08-01)
Wu, Muh-Cherng
;
Lo, Ying-Fu
;
Hsu, Shang-Hwa
;
工業工程與管理學系
;
Department of Industrial Engineering and Management
This paper presents an approach to facilitate the generation of new product ideas. In this approach, a product is represented by a vector, which involves a number of product attributes. These attributes are defined based on the user-centered design (UCD) paradigm. That is, the context of use and interactions with users for the product is described by these attributes. By the product representation, a product database can be established. For a benchmarking product, we use the case-based reasoning (CBR) technique to retrieve those products, which are "sufficiently relevant" to the benchmarking one, from the database. The functions of the retrieved products are the candidate new ideas to be added on the benchmarking product. These retrieved products are screened manually to identify creative and valuable ideas. A prototype system of this approach has been implemented. Experiments show that the proposed approach outperforms the brainstorming technique, which has been widely used in industry.
A fuzzy CBR technique for generating product ideas
(2008-01-01)
Wu, Muh-Cherng
;
Lo, Ying-Fu
;
Hsu, Shang-Hwa
;
工業工程與管理學系
;
Department of Industrial Engineering and Management
This paper presents a fuzzy CBR (case-based reasoning) technique for generating new product ideas from a product database for enhancing the functions of a given product (called the baseline product). In the database, a product is modeled by a 100-attribute vector, 87 of which are used to model the use-scenario and 13 are used to describe the manufacturing/recycling features. Based on the use-scenario attributes and their relative weights - determined by a fuzzy AHP technique, a fuzzy CBR retrieving mechanism is developed to retrieve product-ideas that tend to enhance the functions of the baseline product. Based on the manufacturing/recycling features, a fuzzy CBR mechanism is developed to screen the retrieved product ideas in order to obtain a higher ratio of valuable product ideas. Experiments indicate that the retrieving-and-filtering mechanism outperforms the prior retrieuing-only mechanism in terms of generating a higher ratio of valuable product ideas. (c) 2006 Elsevier Ltd. All rights reserved.