基于知识地图的协同产品设计链隐性知识显性化方法研究
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摘要
在经济全球化和科技迅猛发展的今天,企业面临的市场竞争越来越激烈。产品需求的多样化、复杂化、产品生命周期的缩短、创新速度的加快以及市场的全球化,迫切要求企业以最快的速度、最低的成本提供质量最优的产品和最好的服务来快速响应市场。协同产品设计链的出现,在加强合作伙伴之间密切合作的同时,缩短产品面市时间,提高企业产品设计效率,最终取得市场竞争优势。而企业始终面临着由于专家离职导致企业知识的流失、由于没有充分利用已有知识或没有对设计知识进行积累和整理导致重复犯错……这些现象严重削弱了企业市场竞争力。为了解决这些问题,企业必须进行产品设计知识管理,而协同产品设计链对产品设计知识,尤其是隐性知识的共享、重用提出了更高的要求。
     本文在对协同产品设计链、隐性知识管理的国内外研究现状以及协同产品设计链隐性知识显性化现有的方法进行分析的基础上,总结了其存在的问题,并结合协同产品设计链对隐性知识显性化的需求,以及知识地图、知识网格等相关理论知识,提出了基于知识地图的协同产品链隐性知识显性化方法,并构建基于知识地图的协同产品设计链系统层次模型,以此模型为基础,引入知识网格,构建知识网格辅助下的协同产品设计链知识重用过程模型。论文针对该模型对隐性知识获取的流程和途径进行分析,提出以知识细胞为最小储存单位建立知识资源库并构建基于知识资源库的协同产品设计链隐性知识获取模型,同时引入人工神经网络知识获取技术,在技术上实现了协同产品设计链中的隐性知识获取,即隐性知识显性化。最后,结合以上研究成果,以手机设计为例,对基于知识地图的协同产品设计链隐性知识获取技术——人工神经网络知识获取技术进行应用研究,实现了符号空间和数值空间的数据转换并给出BP网络的设计方案。
     本文提出的基于知识地图的协同产品链隐性知识显性化方法,将产品设计链作为一个整体进行考虑,包含了从市场需求分析到产品交付全过程的管理,人工神经网络知识获取技术有效地实现了隐性知识的获取及其显性化。在协同产品设计链中运用该方法,能有效进行隐性知识的搜索、获取、共享、重用,缩短产品设计周期,提高企业竞争力,赢得市场份额。
In nowadays with economic globalization and the rapid development of science and technology, the market competition among the enterprises is becoming fiercer and fiercer. Products need to be diversity, complex; the life cycle of the products has been shortened; the pace of innovation has been accelerated and the market became a great global market, which are pushing for the enterprises providing best qualities and best services with the lowest cost to response market. The emerging of Collaborative Product Design Chain strengthens the close cooperation between the enterprise and its partners and at the same time shortens time to market and improves the efficiency of products, thus ultimately gain the competitive advantage in the market. The enterprises always face the loss of corporate knowledge for the experts leaving, the insufficiency use of existing knowledge or the repeated mistakes for no accumulation and consolidation of design knowledge, which seriously erode the market competition of the enterprises. In order to cope with these problems, the enterprises must conduct a product design knowledge management. The Collaborative Product Design Chain set an even higher demand on product design knowledge, especially tacit knowledge sharing and reuse.
     In this paper, on the basis of analysis of Collaborative Product Design Chain, current research situation of tacit knowledge management both at home and abroad and the existing means of Collaborative Product Design Chain Tacit Knowledge Explicitation, the existing problems are summarized. This paper combining with the demands of Collaborative Product Design Chain for tacit knowledge dominance and the theory of Knowledge Map and Knowledge Grid provides a method of Collaborative Product Design Chain Tacit Knowledge Explicitation and constructs the NTFS model of Collaborative Product Design Chain based on Knowledge Map. On the basis of the NTFS model, the Knowledge Grid was introduced and with the Knowledge Grid, the procedural model of Collaborative Product Design Chain knowledge reusing was constructed. This thesis analyzes the process and Access to the tacit knowledge acquisition of NTFS model on the Tacit Knowledge Explicitation and present an opinion that a knowledge resources database using knowledge cell as the minimum storage unit should be established and the knowledge resources database based Collaborative Product Design Chain Tacit Knowledge acquisition model should be constructed. At the same time the technology to acquire artificial neural network knowledge will be brought in. So that in technology the Collaborative Product Design Chain Tacit Knowledge can be acquired, in other words it means knowledge dominance. Finally, with the above research, take mobile for example, the study on the application of the technology to acquire the Collaborative Product Design Chain Tacit Knowledge (technology to acquire artificial neural network knowledge) based on knowledge map makes the conversion between symbolical space and numerical space come true and presents the BP network’s design proposal.
     The method presented in this article for the Collaborative Product Design Chain Tacit Knowledge Explicitation based on knowledge map considers the product design chain as a unity including all- round management of the analysis of market demand and the overall process of products delivering. The technology to acquire artificial neural network knowledge makes the tacit knowledge be absorbed and dominant effectively. If this method can be applied in Collaborative Product Design Chain, it can effectively help search, obtain, share, reuse the tacit knowledge and shorten the design circle and enhance the enterprises’competitiveness, thus ultimately gain the market proportion.
引文
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