Technology Forecasting and Roadmapping of Intelligent Manufacturing by 2035

doi:10.3901/JME.2022.04.285

Abstract

Abstract: In recent years, extensive research has been conducted on intelligent manufacturing technologies and applications. However, only technologies are not enough to continuously transform and upgrade manufacturing sectors. Increasing concepts and models in intelligent manufacturing make the prioritization of research and implementation of intelligent manufacturing technologies a critical task. In this study, we proposed an intelligent manufacturing technology roadmap based on the forecasting of the trends of new technologies, the identification of key enabling technologies, and the design of technology development roadmaps. In this work, the research on intelligent manufacturing is discussed in detail, including intelligent products, discrete manufacturing, process manufacturing, new models and new paradigms, industrial internet of things, and intelligent manufacturing cloud. Following this idea, the intelligent manufacturing technology roadmaps by 2035 are designed accordingly and built upon the procedures of technology system construction, technology situation scanning, technologies listing, questionnaire surveys, and expert discussions. Three main levels are listed in the roadmap, including target level, implementation level, and supporting level. This work is expected to fulfill the research gap and urgent needs in policy formulation, value and competitiveness evaluation, strategic management, and scientific research for the future development of intelligent manufacturing.

Key words: intelligent manufacturing, technology forecasting, technology roadmapping

CLC Number:

TH16
TP2

ZANG Jiyuan, LIU Yufei, WANG Baicun, MIAO Zhongzhen, XUE Yuan, LI Peigen. Technology Forecasting and Roadmapping of Intelligent Manufacturing by 2035[J]. Journal of Mechanical Engineering, 2022, 58(4): 285-304.

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