Analysis And Design Of The Knowledge Management System Of Shanghai Fiorentini Company

With the development of ICTs and the coming of knowledge economics, more and more companies have realized the importance of the K-M (knowledge-management), which has become a meaningful way to improve the potential ability of competition. However, most studies focus on the K-M theory or arithmetic fields, even some researches referring the K-M system are based on the situation of large enterprises. For the great development of little or middle enterprises, more information has been obtained; it becomes a demand to construct a proper K-M system under the limited budget. Considering all of this, this study bases on the real atmosphere of the little or middle enterprises, analyses their demand to knowledge, develops a K-M system on the use of potential knowledge in the procedure of product design, successfully constructs the K-M system in the R&D department by using the CBR thinking in the procedure of product design.This study mainly depends on 2 lines: first of all, the analysis to the referred theories and the structure of K-M, secondly, the additional analysis to the expressions of knowledge and reasoning methods in the product designing process. Firstly, On the basis of the research on concepts and technical system concerning KM, the paper digs into the management problems faced by the Fiorentini company in shanghai, knowledge demand and the classification of company. Construct the proper knowledge mapping and the whole system structure of enterprise K-M system; on the other hand, to solving the problems of so many potential knowledge in the product designing process, through importing the theory and technology of knowledge expressing and reasoning, combining to the designing procedure of the Gas Pressure Reducing Station which is one of typical products, applying the method of the knowledge expression of Object-oriented methodology and the CBR(case-based reasoning) , we design a knowledge management system for the product R&D department based on case-based knowledge expression, searching, similarity degree matching, reasoning model. Moreover we solve the similarity degree matching problem of the different product parameters by using the delamination Nearest-Neighbor Method.