A novel model for assessing the degree of intelligent manufacturing readiness in the process industry: process-industry intelligent manufacturing readiness index (PIMRI)

被引:0
|
作者
Zhao, Lujun [1 ,2 ]
Shao, Jiaming [2 ,3 ]
Qi, Yuqi [2 ]
Chu, Jian [2 ]
Feng, Yiping [1 ]
机构
[1] Zhejiang Univ, Coll Control Sci & Engn, State Key Lab Ind Control Technol, Hangzhou 310027, Peoples R China
[2] Zhejiang SUPCON Technol Co Ltd, Hangzhou 310053, Peoples R China
[3] Zhejiang Univ, State Key Lab Clean Energy Utilizat, Hangzhou 310027, Peoples R China
关键词
Process industry; Industry; 4; 0; Readiness model; Intelligent manufacturing; Readiness index; TP391; F273; MATURITY MODEL;
D O I
10.1631/FITEE.2200080
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Recently, the implementation of Industry 4.0 has become a new tendency, and it brings both opportunities and challenges to worldwide manufacturing companies. Thus, many manufacturing companies are attempting to find advanced technologies to launch intelligent manufacturing transformation. In this study, we propose a new model to measure the intelligent manufacturing readiness for the process industry, which aims to guide companies in recognizing their current stage and short slabs when carrying out intelligent manufacturing transformation. Although some models have already been reported to measure Industry 4.0 readiness and maturity, there are no models that are aimed at the process industry. This newly proposed model has six levels to describe different development stages for intelligent manufacturing. In addition, the model consists of four races, nine species, and 25 domains that are relevant to the essential businesses of companies' daily operation and capability requirements of intelligent manufacturing. Furthermore, these 25 domains are divided into 249 characteristic items to evaluate the manufacturing readiness in detail. A questionnaire is also designed based on the proposed model to help process-industry companies easily carry out self-diagnosis. Using the new method, a case including 196 real-world process-industry companies is evaluated to introduce the method of how to use the proposed model. Overall, the proposed model provides a new way to assess the degree of intelligent manufacturing readiness for process-industry companies.
引用
收藏
页码:417 / 432
页数:16
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