摘要
制造企业数字化转型中,要素配置效率与资源协同机制构成企业竞争力重塑的关键驱动因素。数字化要素呈现边际成本递减与网络效应放大的独特经济学特征,其配置遵循不同于传统要素的优化规律。资源协同机制基于复杂系统理论,通过跨层级垂直集成与跨系统水平集成实现制造资源的有序化配置。构建基于人工智能算法的数字化要素智能配置模型,设计出时空维度耦合的动态优化机制,创新了分布式资源协同信任机制与激励相容治理模式。科学的要素配置与高效的资源协同能够显著提升制造企业的创新能力、运营效率与竞争优势,为制造业高质量发展提供理论支撑与实践路径。
In the digital transformation of manufacturing enterprises,the efficiency of element allocation and resource synergy mechanisms constitute key drivers for reshaping corporate competitiveness.Digital elements exhibit unique economic characteristics of diminishing marginal costs and amplified network effects,with their allocation following optimization patterns distinct from traditional factors.The resource synergy mechanism,grounded in complex systems theory,achieves orderly allocation of manufacturing resources through cross-level vertical integration and cross-system horizontal integration.This study constructs an AI-driven intelligent allocation model for digital elements,designs a spatiotemporal coupled dynamic optimization mechanism,which can innovate a distributed resource synergy trust mechanism with incentive-compatible governance.Scientific element allocation and efficient resource synergy can significantly enhance the innovation capabilities,operational efficiency,and competitive advantages regarding manufacturing enterprises,providing theoretical support and practical pathways for high-quality development of manufacturing enterprises.
作者
钱忱
Qian Chen(Anhui Wenda University of Information Technology,Hefei 231201,China)
出处
《黑河学院学报》
2025年第12期36-38,77,共4页
Journal of Heihe University
基金
安徽省2024年优秀青年教师培育一般项目“长三角经济驱动下安徽省制造业数字化转型路径研究”(YQYB2024095)。
关键词
数字化要素配置
资源协同机制
制造企业
智能制造
digital element allocation
resource synergy mechanism
manufacturing enterprises
intelligent manufacturing
