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作 者:熊宗慧[1,2] 胡平平 何志琪 XIONG Zonghui;HU Pingping;HE Zhiqi(School of Mechanical Engineering,Xinjiang University,Urumqi Xinjiang 830017,China;Mechanical Engineering Postdoctoral Mobile Station,School of Mechanical Engineering,Xinjiang University,Urumqi Xinjiang 830017,China)
机构地区:[1]新疆大学机械工程学院,新疆乌鲁木齐830017 [2]新疆大学机械工程学院机械工程博士后流动站,新疆乌鲁木齐830017
出 处:《机床与液压》2024年第7期15-20,48,共7页Machine Tool & Hydraulics
基 金:国家自然科学基金项目地区科学基金项目(71861033)。
摘 要:为寻找合适的影响因素,提升企业核心竞争力水平,提出基于可拓共轭对分析和云模型的核心竞争力影响因素分析方法。通过对典型农机制造企业分析,运用可拓共轭对分析理论,建立企业内部业务流程和供应链两个角度的虚实、软硬共轭对模型,寻找所有影响因素集合。在此基础上构建基于相对偏好关系的云模型,处理评价信息的不确定性和模糊性,计算核心竞争力初始重要度。引入自相关矩阵进行修正并判断各相关因素的重要度,确定关键核心影响因素。最后通过实例分析验证所提模型的科学性和可行性,帮助企业寻找核心竞争力提升方向。In order to find suitable influencing factors and improve the core competitiveness level of enterprises,an analysis method of core competitiveness influencing factors was proposed based on topologizable conjugate pair analysis and cloud model.Through the analysis of typical agricultural machinery manufacturing enterprises,the topologizable conjugate pair analysis theory was used to establish a virtual-real,soft and hard conjugate pair model from the two perspectives of the internal business process and supply chain of the enterprise,and all the influencing factors set were found.On this basis,a cloud model based on relative preference relationship was constructed,the uncertainty and ambiguity of evaluation information were handled,and the initial importance of the core competitiveness was calculated.The autocorrelation matrix was introduced to correct and judge the importance of each relevant factor,and the key core influencing factors were determined.Finally,the case analysis verifies the scientificity and feasibility of the proposed model,and helps enterprises find the direction of core competitiveness improvement.
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