Industrial Engineering and Lean Management for Intelligent Manufacturing

精益制造 制造工程 工程类 业务
作者
Yongliang Liu,Botao Liu,Dong Lai,Hu Yang
出处
期刊:Engineering advances [Hill Publishing Group Inc.]
卷期号:2 (2): 215-219 被引量:2
标识
DOI:10.26855/ea.2022.12.014
摘要

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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Asystasia7发布了新的文献求助10
刚刚
1秒前
poly完成签到,获得积分10
1秒前
1秒前
皇子发布了新的文献求助10
1秒前
2秒前
zjw_发布了新的文献求助10
3秒前
mahehivebv111完成签到,获得积分10
3秒前
3秒前
华仔应助风趣的以筠采纳,获得10
3秒前
wangbq完成签到 ,获得积分10
3秒前
光亮绮山完成签到 ,获得积分10
4秒前
小小美少女完成签到 ,获得积分10
5秒前
5秒前
Akim应助dl861103采纳,获得20
6秒前
7秒前
TQ完成签到,获得积分10
7秒前
7秒前
英俊的铭应助东方不败采纳,获得10
8秒前
9秒前
10秒前
Akim应助FanKun采纳,获得10
12秒前
fukesi完成签到,获得积分10
13秒前
13秒前
自由冬亦完成签到,获得积分10
13秒前
捏捏完成签到,获得积分10
14秒前
科研小白完成签到,获得积分10
15秒前
田様应助风趣的梦易采纳,获得10
15秒前
乐乐应助风趣的梦易采纳,获得10
16秒前
情怀应助风趣的梦易采纳,获得10
16秒前
充电宝应助风趣的梦易采纳,获得10
16秒前
元元元贞完成签到 ,获得积分10
16秒前
16秒前
songyuyuya发布了新的文献求助10
17秒前
wind2631完成签到,获得积分10
18秒前
王科婷发布了新的文献求助10
18秒前
享音发布了新的文献求助10
18秒前
18秒前
冷静书白发布了新的文献求助20
19秒前
慕青应助阿吉利拉采纳,获得10
20秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Navigating Normative Orders. Interdisciplinary Perspectives 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
A Case Study on Hotels as Noncongregate Emergency Living Accommodations for Returning Citizens 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7755881
求助须知:如何正确求助?哪些是违规求助? 9302384
关于积分的说明 20269009
捐赠科研通 7338996
什么是DOI,文献DOI怎么找? 3311330
关于科研通互助平台的介绍 2462344
邀请新用户注册赠送积分活动 2324799