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The era of industry 4.0 is coming to us slowly, intelligent manufacturing mode has been the general trend. The birth of industrial engineering has been more than 100 years of history, during the hundred years of development, industrial engineering has experienced several transformation and upgrading. The innovation and development of intelligent manufacturing cannot be separated from the development of industrial engineering and the improvement of lean management. Industrial engineering is the material basis of intelligent manufacturing era. Industrial engineering is to improve and optimize the integrated system composed of human, logistics and information elements. The development of intelligent manufacturing era must rely on highly integrated logistics information system, the development of industrial engineering for the advent of intelligent manufacturing era. Lean management is the guarantee of intelligent manufacturing. Lean management, also known as good management, aims to reduce consumables, continuously improve production efficiency and improve product quality. In the era of intelligent manufacturing, although the degree of automation is high, if the employees are not lean management, the development process of intelligent manufacturing will be slow. It can be seen that the development of industry 4.0 era needs to be based on intelligent industrial engineering and lean management. At present, there are still many problems in intelligent manufacturing transformation and lean management in domestic enterprises, and researchers in related fields are focusing on solving these problems. Based on the study of the development line of developed countries, this paper defines the problems in the process of transformation and development, explores the management technology and mode of transformation and upgrading.
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Industrial Engineering and Lean Management for Intelligent Manufacturing
How to cite this paper: Yongliang Liu, Botao Liu, Dong Lai, Yang Hu. (2022). Industrial Engineering and Lean Management for Intelligent Manufacturing. Engineering Advances, 2(2), 215-219.
DOI: http://dx.doi.org/10.26855/ea.2022.12.014