Study on the Product Module Recognization

• Main Authors: Yung-Yen Chu, 朱永彥
• Other Authors: Fu-Mao Chou
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/02607558652830173863

碩士 === 華梵大學 === 工業工程與經營資訊學系碩士班 === 98 === Recently, products develop rapidly. Industrial manufacturing technology cause the reduction of product life cycle and the intense competition among enterprises. Only the fast and complete development of products can bring the maximum benefits for enterprises. By modular design, enterprises diversify their products goal. In the product modules, the action extent between components will influence the modular design. To find out the factors that influence module recognition, this article makes use of Assembly, Energy, News, Matter, Tightness and design alteration etc. six direct factors and Function the indirect factor to obtain the recognition. The direct factors make use of the maximum spanning tree of graph theoretic method to get module result, and the indirect factor makes use of subsets of set theory classification to get the result. Modular recognization not only offers the best disposition at the beginning of design, but makes products with the most appropriate design.