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2023, Volume 24, Issue 3

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Frontiers of Information Technology & Electronic Engineering >> 2023, Volume 24, Issue 3 doi: 10.1631/FITEE.2200080

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

Affiliation(s): State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University,Hangzhou 310027,China; Zhejiang SUPCON Technology Co., Ltd.,Hangzhou 310053,China; State Key Laboratory of Clean Energy Utilization, Zhejiang University,Hangzhou 310027,China; less

Received: 2022-03-04 Accepted: 2023-03-25 Available online: 2023-03-25
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Abstract

Recently, the implementation of 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 transformation. In this study, we propose a new model to measure the readiness for the , which aims to guide companies in recognizing their current stage and short slabs when carrying out transformation. Although some models have already been reported to measure readiness and maturity, there are no models that are aimed at the . This newly proposed model has six levels to describe different development stages for . 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 . 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 readiness for process-industry companies.

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