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Smart Manufacturing and Intelligent Manufacturing: A Comparative Review Review

Baicun Wang, Fei Tao, Xudong Fang, Chao Liu, Yufei Liu, Theodor Freiheit

Engineering 2021, Volume 7, Issue 6,   Pages 738-757 doi: 10.1016/j.eng.2020.07.017

Abstract:

The application of intelligence to manufacturing has emerged as a compelling topic for researchersHowever, different terminologies, namely smart manufacturing (SM) and intelligent manufacturing (IM),is provided, which is increasingly important because the trend to merge both terminologies rises in Industry4.0 as intelligence is being rapidly applied to modern manufacturing and human–cyber–physical

Keywords： Smart manufacturing     Intelligent manufacturing     Industry 4.0     Human–cyber–physical system (HCPS)    

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Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives

Pai ZHENG, Honghui WANG, Zhiqian SANG, Ray Y. ZHONG, Yongkui LIU, Chao LIU, Khamdi MUBAROK, Shiqiang YU, Xun XU

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2,   Pages 137-150 doi: 10.1007/s11465-018-0499-5

Abstract: These technologies are permeating the manufacturing industry and enable the fusion of physical and virtualTo advance research on the implementation of Industry 4.0, this study examines smart manufacturing systemsfor Industry 4.0.First, a conceptual framework of smart manufacturing systems for Industry 4.0 is presented.Key technologies and their possible applications to Industry 4.0 smart manufacturing systems are reviewed

Keywords： Industry 4.0     smart manufacturing systems     Internet of Things     cyber-physical systems     big data analytics    

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Refinery production scheduling toward Industry 4.0

Marcel JOLY, Darci ODLOAK, Mario Y. MIYAKE, Brenno C. MENEZES, Jeffrey D. KELLY

Frontiers of Engineering Management 2018, Volume 5, Issue 2,   Pages 202-213 doi: 10.15302/J-FEM-2017024

Abstract: relationship between refinery production scheduling (RPS) and the cyber-physical production environment with smartdiscuss state-of-the-art RSPs in the crude-oil refining field and present examples that illustrate how smartscheduling can impact operations in the high-performing chemical process industry.and collaborative optimizations, since they are the technological alternatives closer to the advanced manufacturing

Keywords： cyber-physical systems     optimization     petrochemical industry     scheduling     smart manufacturing    

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Intelligent Manufacturing in the Context of Industry 4.0: A Review

Ray Y. Zhong, Xun Xu, Eberhard Klotz, Stephen T. Newman

Engineering 2017, Volume 3, Issue 5,   Pages 616-630 doi: 10.1016/J.ENG.2017.05.015

Abstract:

Our next generation of industry—Industry 4.0—holds the promise of increased flexibilityIntelligent manufacturing plays an important role in Industry 4.0.resources are converted into intelligent objects so that they are able to sense, act, and behave within a smartIn order to fully understand intelligent manufacturing in the context of Industry 4.0, this paper provides)- enabled manufacturing, and cloud manufacturing.

Keywords： Intelligent manufacturing     Industry 4.0     Internet of Things     Manufacturing systems     Cloud manufacturing     Cyber-physical    

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Digital Twins and Cyber–Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and Article

Fei Tao, Qinglin Qi, Lihui Wang, A.Y.C. Nee

Engineering 2019, Volume 5, Issue 4,   Pages 653-661 doi: 10.1016/j.eng.2019.01.014

Abstract: big data analytics (BDA), and artificial intelligence (AI) have greatly stimulated the development of smartmanufacturing.An important prerequisite for smart manufacturing is cyber–physical integration, which is increasingly(CPS) and digital twins (DTs) have gained extensive attention from researchers and practitioners in industryfeedback loops in which physical processes affect cyber parts and vice versa, CPS and DTs can endow manufacturing

Keywords： Cyber–physical systems (CPS)     Digital twin (DT)     Smart manufacturing     Correlation and comparison    

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Atomic and close-to-atomic scale manufacturing—A trend in manufacturing development

Fengzhou FANG

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 4,   Pages 325-327 doi: 10.1007/s11465-016-0402-1

Abstract:

Manufacturing is the foundation of a nation’s economy.It is the primary industry to promote economic and social development.To accelerate and upgrade China’s manufacturing sector from “precision manufacturing” to “high-performance and high-quality manufacturing”, a new breakthrough should be foundUnlike conventional manufacturing, the fundamental theory of “Manufacturing 3.0” is beyond

Keywords： atomic manufacturing     Manufacturing 3.0     Manufacturing 2025     Industry 4.0    

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A discussion of objective function representation methods in global optimization

Panos M. PARDALOS, Mahdi FATHI

Frontiers of Engineering Management 2018, Volume 5, Issue 4,   Pages 515-523 doi: 10.15302/J-FEM-2018044

Abstract:

Non-convex optimization can be found in several smart manufacturing systems.representation in integrated artificial intelligence, optimization, and decision support systems in smartmanufacturing and Industry 4.0.

Keywords： decomposition techniques     multi-objective     DC programming     Kolmogorov’s superposition     space-filling curve     smartmanufacturing and Industry 4.0    

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Technological and Economical Logic for Intelligent Manufacturing

Guo Zhaohui

Strategic Study of CAE 2018, Volume 20, Issue 4,   Pages 97-100 doi: 10.15302/J-SSCAE-2018.04.016

Abstract: Focusing on the difficulties domestic industrial enterprises are facing while promoting intelligent manufacturingMeanwhile, intelligent manufacturing related technologies can be used to promote the management level

Keywords： smart manufacture     industrial Internet     Industrial 4.0     Cyberspace    

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Energy 4.0： Constructing the economic structure， internet technology and smart energy

Gu Weidong

Strategic Study of CAE 2015, Volume 17, Issue 3,   Pages 4-9

Abstract:

The concept of energy 4.0， which adapts to industry 4.0 is proposed in this work.This energy & industry internet is a high efficiency， low cost， sustainable， and regulatory network. energy 4.0 will play an important role in industry upgrading and economic restructuring.

Keywords： energy 4.0； the energy & industry internet； high energy consuming industries； peak shaving    

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Big data and machine learning: A roadmap towards smart plants

Frontiers of Engineering Management   Pages 623-639 doi: 10.1007/s42524-022-0218-0

Abstract: Industry 4.0 aims to transform chemical and biochemical processes into intelligent systems via the integrationEstablished technologies central to the digital integrating components are smart sensing, mobile communicationexploitation of large amounts of historical process data and large volumes of data generated in real-time by smartsensors widely used in industry.technologies, and b) to present a strategic plan for their integration toward the goal of an autonomous smart

Keywords： big data     machine learning     artificial intelligence     smart sensor     cyber–physical system     Industry 4.0    

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Smart and Optimal Manufacturing for Process Industry

Chai Tianyou, Ding Jinliang

Strategic Study of CAE 2018, Volume 20, Issue 4,   Pages 51-58 doi: 10.15302/J-SSCAE-2018.04.009

Abstract: mode of intelligent manufacturing for the process industry, i.e., smart and optimal manufacturing, iscontrol system) and the control and management informatization system adopted by process enterprises, a smartin the process industry.Moreover, suggestions on the future development and deployment of smart and optimal manufacturing inthe process industry are offered, include emphasizing the strategic position of the process industry,

Keywords： process industry     smart and optimal manufacturing     development vision     scientific challenges    

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Fundamental Theories and Key Technologies for Smart and Optimal Manufacturing in the Process Industry

Feng Qian,Weimin Zhong,Wenli Du

Engineering 2017, Volume 3, Issue 2,   Pages 154-160 doi: 10.1016/J.ENG.2017.02.011

Abstract: To promote a vision of the process industry with efficient, green, and smart production, modern informationTo focus on smart equipment in manufacturing processes, as well as on the adaptive intelligent optimizationof the manufacturing process, operating mode, and supply chain management, we put forward several keyand optimal manufacturing in the process industry.to the process industry around the world.

Keywords： Process industry     Smart and optimal manufacturing     Green manufacturing     High-end manufacturing     Optimality    

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The Future of Manufacturing: A New Perspective Perspective

Ben Wang

Engineering 2018, Volume 4, Issue 5,   Pages 722-728 doi: 10.1016/j.eng.2018.07.020

Abstract: , most of which focus on hardware, software, additive manufacturing, robotics, the Internet of Things, and Industry 4.0., basic building blocks of new manufacturing, ecosystem readiness, and technology scalability.The first major challenge is to (re-)define what the manufacturing of the future will be, if we wishThe last, but not least, challenge is to examine successful modalities of industry–academia&ndash

Keywords： Advanced Manufacturing Partnership     Ecosystem     Industry 4.0     Intelligent manufacturing     Internet of Things     Manufacturing innovation institutes     National Network for Manufacturing     Innovation    

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

Lujun ZHAO, Jiaming SHAO, Yuqi QI, Jian CHU, Yiping FENG

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 3,   Pages 417-432 doi: 10.1631/FITEE.2200080

Abstract: implementation of has become a new tendency, and it brings both opportunities and challenges to worldwide manufacturingThus, many manufacturing companies are attempting to find advanced technologies to launch transformationFurthermore, these 25 domains are divided into 249 characteristic items to evaluate the manufacturingA questionnaire is also designed based on the proposed model to help process-industry companies easilyOverall, the proposed model provides a new way to assess the degree of readiness for process-industry

Keywords： Process industry     Industry 4.0     Readiness model     Intelligent manufacturing     Readiness index    

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Precision glass molding: Toward an optimal fabrication of optical lenses

Liangchi ZHANG,Weidong LIU

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 1,   Pages 3-17 doi: 10.1007/s11465-017-0408-3

Abstract: This review will discuss some of the central issues in PGM processes and provide a method based on a manufacturingThe realization of such optimization is a necessary step for the Industry 4.0 of PGM.

Keywords： precision glass molding     optical lens     constitutive modeling     optimization     manufacturing chain     Industry4.0    

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Title Author Date Type Operation

Smart Manufacturing and Intelligent Manufacturing: A Comparative Review

Baicun Wang, Fei Tao, Xudong Fang, Chao Liu, Yufei Liu, Theodor Freiheit

Journal Article

Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives

Pai ZHENG, Honghui WANG, Zhiqian SANG, Ray Y. ZHONG, Yongkui LIU, Chao LIU, Khamdi MUBAROK, Shiqiang YU, Xun XU

Journal Article

Refinery production scheduling toward Industry 4.0

Marcel JOLY, Darci ODLOAK, Mario Y. MIYAKE, Brenno C. MENEZES, Jeffrey D. KELLY

Journal Article

Intelligent Manufacturing in the Context of Industry 4.0: A Review

Ray Y. Zhong, Xun Xu, Eberhard Klotz, Stephen T. Newman

Journal Article

Digital Twins and Cyber–Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and

Fei Tao, Qinglin Qi, Lihui Wang, A.Y.C. Nee

Journal Article

Atomic and close-to-atomic scale manufacturing—A trend in manufacturing development

Fengzhou FANG

Journal Article

A discussion of objective function representation methods in global optimization

Panos M. PARDALOS, Mahdi FATHI

Journal Article

Technological and Economical Logic for Intelligent Manufacturing

Guo Zhaohui

Journal Article

Energy 4.0： Constructing the economic structure， internet technology and smart energy

Gu Weidong

Journal Article

Big data and machine learning: A roadmap towards smart plants

Journal Article

Smart and Optimal Manufacturing for Process Industry

Chai Tianyou, Ding Jinliang

Journal Article

Fundamental Theories and Key Technologies for Smart and Optimal Manufacturing in the Process Industry

Feng Qian,Weimin Zhong,Wenli Du

Journal Article

The Future of Manufacturing: A New Perspective

Ben Wang

Journal Article

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

Lujun ZHAO, Jiaming SHAO, Yuqi QI, Jian CHU, Yiping FENG

Journal Article

Precision glass molding: Toward an optimal fabrication of optical lenses

Liangchi ZHANG,Weidong LIU

Journal Article