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Empirical Analysis of Organization Quality-Specific Immune Evolution of Intelligent Manufacturing Enterprises Based on Self-Organization Methods.
Liu, Qiang; Tong, Yuqiong; Zhao, Danyu.
Afiliação
  • Liu Q; School of Economics and Management, Liaoning University of Technology, Jinzhou 121001, China.
  • Tong Y; School of Economics and Management, Liaoning University of Technology, Jinzhou 121001, China.
  • Zhao D; School of Economics and Management, Liaoning University of Technology, Jinzhou 121001, China.
Comput Intell Neurosci ; 2022: 6354820, 2022.
Article em En | MEDLINE | ID: mdl-35669662
Strengthening organization quality-specific immune is the key linkage to improve the quality performance of intelligent manufacturing enterprises. organization quality-specific immune is constructed by selecting four state variables of organization quality cognition, monitor, defense, and memory. Based on the perspective of self-organization, self-organization theory and methods are used to construct the evolution model of organization quality-specific immune. According to four state variables, the evolution of organization quality-specific immune of fourteen typical intelligent manufacturing enterprises is studied, and the conclusion is drawn according to the relaxation coefficient. The empirical results show that self-organization theory and self-organization methods can effectively analyze the evolution of organization quality-specific immune and provide new inspiration for organization quality improvement and quality management of intelligent manufacturing enterprises. The finding results will present the framework for practicing engineering managers of intelligent manufacturing enterprises to enhance organization quality performance and organization quality-specific immune performance and promote organization quality-specific immune evolution.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Comércio / Inteligência Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Comércio / Inteligência Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article