An intelligent optimization model for enterprise resource allocation efficiency and its application to networked management

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Authors: Weixin Liu, Zhibin Ling, Yuhua Wei
Cited by: 0

Abstract

Enterprise resource allocation efficiency is an important area that needs to be optimized urgently in modern enterprise management, which is directly related to the rational use of enterprise resources and the improvement of operational efficiency. With the rise of networked management concept and the rapid development of intelligent optimization technology, the resource allocation method based on intelligent optimization model has become a key means to improve enterprise competitiveness. Improving the efficiency of enterprise resource allocation, alleviating the distortion of resource allocation, and allocating resources to high-productivity enterprises help to comprehensively promote the total factor productivity of enterprises and further promote the high-quality development of the economy. A resource optimization model based on intelligent algorithms is constructed, and its effectiveness in improving resource allocation efficiency is verified with practical cases; the application scenarios of the model in networked management are explored, including the practical effects of supply chain collaborative optimization, dynamic scheduling, and cross-departmental resource sharing. The intelligent optimization model can significantly improve the efficiency of enterprise resource allocation and provide scientific support for the networked management of enterprises, and the future intelligent and dynamic resource allocation research provides important insights.

Fields of Study & Subjects

Advanced Technologies in Various Fields AI and Multimedia in Education Advanced Computing and Algorithms

Publication details

Journal / source
IET conference proceedings.
Volume
2025
Issue
34
Pages
121–126
Publication date
1 January 2026
Language
EN