摘要
智能制造是实现制造强国的重要途径,随着我国智能制造进入全面推广阶段,针对智能制造发展水平开展科学评价成为现实需求。本文系统梳理了近年来有关智能制造评价理论的研究成果,从智能制造的关键技术、系统全局、行业领域3个视角归纳总结了智能制造评价体系的研究情况,对比分析了智能制造评价研究中常用的评价方法;剖析智能制造评价研究方面存在的主要问题,针对性探讨领域的未来研究方向。研究认为,现行智能制造评价的标准、流程、指标体系、应用等方面存在欠缺,需要从评价范式、评价体系、新技术融合等方面加以改进完善,以推进智能制造评价理论研究并指导智能制造发展。具体而言,健全标准设计,建立智能制造评价范式;优化指标体系,丰富关键核心评价内容;强化新技术融合,推进理论实践协同并进。
Intelligent manufacturing is crucial for constructing a powerful manufacturing country. As China’s intelligent manufacturing enters a comprehensive promotion stage, the scientific evaluation of intelligent manufacturing becomes a practical demand. This paper provides a systematic survey on the intelligent manufacturing evaluation theories in recent years.The evaluation index systems of intelligent manufacturing are classified and summarized from three perspectives, that is, key technology, overall system, and specific sector. Furthermore, the methods commonly used in intelligent manufacturing evaluation are compared and analyzed. This paper also investigates the major problems regarding intelligent manufacturing evaluation and discusses the future research directions of the field. Currently, there are deficiencies in the standards, processes, index system, and application of intelligent manufacturing evaluation. It is necessary to improve the evaluation paradigm, evaluation system, and new technology integration, so as to promote the research of intelligent manufacturing evaluation theories and guide the development of intelligent manufacturing. Specifically, China should improve the standards design to establish an intelligent manufacturing evaluation paradigm, optimize the index system to enrich the key evaluation content, strengthen the integration of new technologies,and promote the synergy of theory and practice.
作者
何慧霞
魏桂英
武森
单志广
He Huixia;Wei Guiying;Wu Sen;Shan Zhiguang(School of Economics and Management,University of Science and Technology,Beijing 100083,China;Department of Informatization and Industry Development,State Information Center,Beijing 100045,China)
出处
《中国工程科学》
CSCD
北大核心
2022年第2期56-63,共8页
Strategic Study of CAE
基金
国家自然科学基金项目“基于深度学习的高维混合数据融合特征表示及聚类研究”(71971025)。
关键词
智能制造
评价理论
指标体系
评价范式
新技术融合
intelligent manufacturing
evaluation theory
index system
evaluation paradigm
new technology integration