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基于熵权多级模糊综合评价的虚拟企业风险研究
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摘要
现阶段,虚拟企业作为一种新的管理运作模式,已经开始在实际中得到广泛应用。虚拟企业能够敏捷地响应市场需求,降低成本, 尤其是制造业可以大幅度降低研究开发成本,使企业较快地进入全球市场,实现利润共享的同时也带来了一些新的风险问题。风险问题又是制约着虚拟企业生存与发展的关键,因此,分析研究影响虚拟企业风险的主要影响因素,进而评价虚拟企业风险管理水平,无疑具有重要的现实意义。
    首先,本文从虚拟企业的产生,发展和现状分析入手,系统分析了虚拟企业风险产生的机理,风险及其影响因素的特点,采用解析结构模型进行虚拟企业的风险因素的识别,并深入研究了虚拟企业风险管理的关键影响要素,建立关于虚拟企业风险的评价指标体系;其次,运用聚类分析的方法对20 份专家的调查问卷进行了筛选,得到16 份有效的调查问卷;再次,运用熵理论和熵权的方法来确定各个指标的权重;得到消费者需求变动的权重为:0.308,竞争风险权重为:0.172,信用问题的权重为:0.164,技术外泄问题的权重为0.032,,沟通问题的权重为:0.059,技术问题的权重为:0.027,质量问题的权重为:0.204,时间问题的权重为:0.034。最后,采用多级模糊综合评价方法对虚拟企业的风险进行评价。虚拟企业风险评价结果:虚拟企业风险处于高度风险的概率为18.7%,较高风险的概率为23.7%,一般风险的概率为42.7%,较低风险的概率为14.4%,而很低的风险的概率为0.5%。
    通过上述分析评价研究,根据评价结果找出影响虚拟企业风险较高的原因,针对虚拟企业风险管理过程中存在的问题,提出了相应的风险防范措施:虚拟企业应尽量避免风险、虚拟企业应尽量排除各种可预置的风险隐患、虚拟企业应尽量转移风险、虚拟企业应尽量分散风险、虚拟企业应尽量自留风险,虚拟企业应建立风险核对表等。以期对虚拟企业的风险管理提供一定的借鉴和参考。
Being a new type of managerial operation model, virtual enterprise has already been widely used in practice nowadays. Virtual enterprise can response to the change of market demand promptly, can reduce cost, especially, can sharply reduce R&D cost for manufacturing enterprises, therefore, can make enterprises enter global market with a high speed, realize profit co-sharing. However, this can also bring some new risk problems, which are the key factor restraining the existence and development of virtual enterprises. Thus, to analyze the main factors affecting virtual enterprise’s risk, and to evaluate risk management level of virtual enterprise, is no doubt of great practical significance.
    By starting with the emerging, development and present situation analysis of virtual enterprise, this thesis systematically analyzes the procreant mechanism of virtual enterprise’s risk, the special features of the virtual enterprise’s risk and the major influence factors, the factors affecting of virtual enterprise’s risk are be identified by interpretation structure model and lucubrate them, then sets up evaluation indexes system on virtual enterprise; Secondly, the thesis sieves experts’investigate questionnaires by adapting “cluster analysis”and reduce twenty to sixteen;Thirdly, by using entropy theories and entropy coefficient methods, confirm the power weightiness of the each indexes: the change of customer’s demand is 0.308, compete risk is 0.172, credited problem is 0.164, technology leak problem is 0.032,communicate problem is 0.059,technology problem is 0.027, quality problem is 0.204, time problem is 0.034; At last, by fuzzy comprehensive evaluation the thesis qualitatively & quantitatively evaluates the overall risk level of virtual enterprise , figures out the probability of virtual enterprise’s risk in the highest level is 0.187; the probability of virtual enterprise’s risk in the higher level is 0.237; the probability of virtual enterprise’s
    risk in the common level is 0.427; the probability of virtual enterprise’s risk in the lower level is 0.144; the probability of virtual enterprise’s risk in the lowest level is 0.005. By through the study mentioned above, the thesis figures out some critical problems existed in virtual enterprise’s risk management and their roots, also comes up with policies such as avoiding it’s risk; getting rid of it’s hidden risk; transferring it’s risk; separating it’s risk; leaving for personal needs the risk; setting up risk check list, etc., with an expectation to provide certain reference for virtual enterprise’s risk management.
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