Research on Digital Process Optimization of Enterprise Information Management Oriented toward Intelligent Manufacturing

Xing-Er Yang （ Aberdeen Institute of Data Science and Artificial Intelligence, South China Normal University, Foshan, Guangdong, 528225, China ）

Abstract

Under the wave of intelligent manufacturing, digital processes of enterprise information management have become a core vehicle for integrating production factors and enhancing operational efficiency. This paper focuses on the optimization of enterprise information management digital processes oriented toward intelligent manufacturing. It systematically analyzes the core connotations of digital processes and, in light of the development requirements of intelligent manufacturing, examines the existing problems and underlying causes in current enterprise information management digital processes. On this basis, a comprehensive optimization model is constructed, encompassing optimization objectives and principles, framework design, technological support, and validation methods. Correspondingly, optimization strategies are proposed from four key dimensions: process architecture, system integration, data management, and organizational personnel. This study provides theoretical guidance and practical pathways for enterprises to empower intelligent manufacturing through digital transformation, and it is of significant importance for promoting the high-quality development of the manufacturing industry.

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