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A Strategy and Model of Change for SMEs in the Hong Kong Manufacturing Industry
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作者 k f chu 《厦门大学学报(自然科学版)》 CAS CSCD 北大核心 2002年第S1期213-,共1页
The re-establishment of the Hong Kong manufacturin g industry as a local pillar of economy is vital in the restructuring of the e conomy in Hong Kong. The SMEs should play a key role in such a process. It requi res ma... The re-establishment of the Hong Kong manufacturin g industry as a local pillar of economy is vital in the restructuring of the e conomy in Hong Kong. The SMEs should play a key role in such a process. It requi res major changes to take place in the operation of the enterprises in order to enhance their competitiveness and therefore the chance of success in the restruc turing process. It is suggested that the strategy of going for high value-added products and related services together with the practice of "focused factory" s hould be adopted by the SMEs in the industry. Effective change management by the top managers and owners in the SMEs is an underpinning element for the success. Basing upon the characteristics of the SMEs in the industry, a model of change is proposed. The roles that should be played by the top management and owners in the industry are suggested and discussed. It is believe that the proposal and s uggestions made would help the industry to effectively manage the changes that a re necessary for the industry to shape the competitiveness of the industry in th e world arena in future. 展开更多
关键词 A Strategy and Model of Change for SMEs in the Hong Kong Manufacturing Industry
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Genetic Algorithm for Injection Mould Design and Moulding
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作者 k f chu J k L Ho C k Mok 《厦门大学学报(自然科学版)》 CAS CSCD 北大核心 2002年第S1期189-,共1页
Obtaining the optimal values of the parameters for th e design of a required mould and the operation of the moulding process are diffi cult, this is due to the complexity of product geometry and the variation of pla s... Obtaining the optimal values of the parameters for th e design of a required mould and the operation of the moulding process are diffi cult, this is due to the complexity of product geometry and the variation of pla stic material properties. The typical parameters for the mould design and mouldi ng process are melt flow length, injection pressure, holding pressure, back pres sure, injection speed, melt temperature, mould temperature, clamping force, inje ction time, holding time and cooling time. This paper discusses the difficulties of using the current computer aided optimization methods to acquire the values of the parameters. A method that is based on the concept of genetic algorithm is proposed to overcome the difficulties. The proposed method describes in details on how to attain the optimal values of the parameters form a given product geom etry. 展开更多
关键词 Genetic Algorithm for Injection Mould Design and Moulding
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