摘要
近年来,绝大多数制造业企业为应对新一轮工业革命带来的巨大挑战,都在积极寻求改造提升的机会。然而,企业在进行智能制造提升与数字化转型的过程中,往往很难对自身所处的发展阶段和转型目标有清晰准确的认识。本文基于流程工业生产运营特点,提出了一个流程工业智能制造准备度评估模型,从业务、组织、技术和智能四个维度对企业开展智能制造建设所需具备的要素条件进行评估。模型涵盖了9个评估类、25个评估域和249个特征项要求,旨在帮助流程工业企业厘清发展现状,摸清短板差距,明确建设方向。此外,本文还提出了智能制造准备度水平的量化指标——准备度指数,并对其计算方法和评估流程进行了详细描述,帮助企业进行智能制造准备度水平的自评估。最后,通过本模型在山东省35家流程工业企业智能制造评估的应用案例,论述了模型的应用效果及价值。
Recently,in order to meet the huge challenges brought by the new round of industrial revolution,many manufacturing enterprises are seeking the opportunities of transformation and upgrading actively.However,it is difficult for enterprises to make a clear understanding of their current stage and final construction goals when they start to conduct the intelligent manufacturing and digital transformation.This paper proposed an intelligent manufacturing readiness model based on the characteristics of process industry production and operation to evaluate their current situation about intelligent manufacturing construction from four dimensions of business,organization,technology and intelligence.The model covered 9 evaluation categories,25 evaluation domains and 249 characteristic item requirements,which was aimed at helping process industry enterprises to clarify the current development status,found out the short slabs and cleared the directions of construction.In addition,this paper also proposed the“readiness index”to quantify the level of intelligent manufacturing readiness,and its calculation method and evaluation process were detailed introduced to achieve self-evaluation for intelligent manufacturing readiness level.Finally,35 process industry enterprises in Shandong province were evaluated using the new proposed model to show the application effect and value.
作者
赵路军
祁雨奇
邵嘉铭
褚健
王智化
冯毅萍
ZHAO Lujun;QI Yuqi;SHAO Jiaming;CHU Jian;WANG Zhihua;FENG Yiping(State Key Laboratory of Industrial Control Technology,College of Control Science and Engineering,Zhejiang University,Hangzhou 310027,Zhejiang,China;Zhejiang SUPCON Technology Co.,Ltd.,Hangzhou 310053,Zhejiang,China;State Key Laboratory of Clean Energy Utilization,Zhejiang University,Hangzhou 310027,Zhejiang,China)
出处
《化工进展》
EI
CAS
CSCD
北大核心
2023年第1期118-127,共10页
Chemical Industry and Engineering Progress
基金
国家重点研发计划(2019YFB1705004)。
关键词
流程工业
制造
准备度指数
工业4.0
模型
集成
process industry
manufacturing
readiness index
industry 4.0
model
integration
