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首页> 外文期刊>Journal of computational methods in sciences and engineering >Organizational quality specific immune evaluation model based on optimal combination weighting
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Organizational quality specific immune evaluation model based on optimal combination weighting

机译:Organizational quality specific immune evaluation model based on optimal combination weighting

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摘要

Facing the increasingly fierce competition in the current society, enterprises must take corresponding measures to deal with the dynamic environment. In order to improve their competitive advantages, they must pay more attention to the quality of their product, activate the organizational quality specific immune. This study takes organizational quality specific immune as the entry point to construct the organizational quality specific immune evaluation indicator system, and establishes three criteria layers of organizational quality monitoring and cognition, organizational quality defense, clearance and repair, and organizational quality memory and immune stabilization, there are a series of indicators under each criterion layer. Then this study constructs the organizational quality specific immune evaluation model based on optimal combination weight methods, and the optimal combination weighting model is introduced to conduct empirical study of evaluating organizational quality specific immune with 15 large-scale manufacturing enterprises in eastern regions. And the pros and cons of the organizational quality specific immune status of 15 large-scale manufacturing enterprises in eastern regions are finally obtained. The organizational quality specific immune evaluation indicators, organizational quality specific immune evaluation model based on optimal combination weighting methods and empirical analysis results of organizational quality specific immune evaluation based on optimal combination weighting methods and model will provide theoretical significance and practical enlightenment for enhancing organizational quality performance and organizational health.

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