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Remanufacturing in Industry 4.0

Ming-zhou Liu,Cong-hu Liu,Mao-gen Ge,Yuan Zhang,Qing-hua Zhu

Frontiers of Engineering Management 2016, Volume 3, Issue 2,   Pages 144-146 doi: 10.15302/J-FEM-2016020

Abstract: theory of human blood circulation system, the authors explore the importance of remanufacturing in Industry4.0.Remanufacturing well supports recycling production, which is significant in realizing intelligent industryFurthermore, this paper discusses the development direction of remanufacturing engineering in Industry4.0 ages.

Keywords： remanufacturing     Industry 4.0     sustainable development    

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From total quality management to Quality 4.0: A systematic literature review and future research agenda

Frontiers of Engineering Management 2023, Volume 10, Issue 2,   Pages 191-205 doi: 10.1007/s42524-022-0243-z

Abstract: Quality 4.0 is an emerging concept that has been increasingly appreciated because of the intensificationIt deals with aligning quality management practices with the emergent capabilities of Industry 4.0 toconcept, Quality 4.0 implementation, quality management in Quality 4.0, and Quality 4.0 model and applicationachieve innovation enterprise efficiency, and increase organizational competitiveness in the era of Industry4.0.

Keywords： quality management     Quality 4.0     Industry 4.0     literature review     predictive quality    

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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.In order to fully understand intelligent manufacturing in the context of Industry 4.0, this paper provides

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

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An Industry 4.0 Approach to the 3D Printing of Composite Materials

Bronwyn Fox, Aleksander Subic

Engineering 2019, Volume 5, Issue 4,   Pages 621-623 doi: 10.1016/j.eng.2019.06.003

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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: that illustrate how smart scheduling can impact operations in the high-performing chemical process industry

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

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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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Balancing resilience and efficiency in supply chains: Roles of disruptive technologies under Industry4.0

Frontiers of Engineering Management   Pages 171-176 doi: 10.1007/s42524-022-0247-8

Abstract: In the Industry 4.0 era, disruptive technologies such as big data analytics, blockchain, Internet-of-Things

Keywords： disruptive technologies     supply chain     resilience     efficiency     paradox     balance    

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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: 4.0).To 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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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: It is the primary industry to promote economic and social development.

Keywords： atomic manufacturing     Manufacturing 3.0     Manufacturing 2025     Industry 4.0    

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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: 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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Framework and case study of cognitive maintenance in Industry 4.0 Special Feature on Industrial Internet

Bao-rui Li, Yi Wang, Guo-hong Dai, Ke-sheng Wang,kesheng.wang@ntnu.no

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 11,   Pages 1493-1504 doi: 10.1631/FITEE.1900193

Abstract: We present a new framework for (CM) based on cyber-physical systems and advanced artificial intelligence techniques. These CM systems integrate intelligent approaches and intelligent decision-making techniques, which can be used by maintenance professionals who are working with . The systems will provide technical solutions to real-time online maintenance tasks, avoid outages due to equipment failures, and ensure the continuous and healthy operation of equipment and manufacturing assets. The implementation framework of CM consists of four modules, i.e., cyber-physical system, Internet of Things, data mining, and Internet of Services. In the data mining module, fault diagnosis and prediction are realized by methods. In the case study, the backlash error of cutting-edge machine tools is taken as an example. We use a deep belief network to predict the backlash of the machine tool, so as to predict the possible failure of the machine tool, and realize the strategy of CM. Through the case study, we discuss the significance of implementing CM for cutting- edge equipment, and the framework of CM implementation has been verified. Some CM system applications in manufacturing enterprises are summarized.

Keywords： 认知维护；工业4.0；尖端设备；深度学习；绿色监视器；智能制造工厂    

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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: The 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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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: A questionnaire is also designed based on the proposed model to help process-industry companies easilyUsing the new method, a case including 196 real-world process-industry companies is evaluated to introduceOverall, 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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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 integrationhistorical process data and large volumes of data generated in real-time by smart sensors widely used in industry

Keywords： big data     machine learning     artificial intelligence     smart sensor     cyber–physical system     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: integrated artificial intelligence, optimization, and decision support systems in smart manufacturing and Industry4.0.

Keywords： multi-objective     DC programming     Kolmogorov’s superposition     space-filling curve     smart manufacturing and Industry4.0    

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Title Author Date Type Operation

Remanufacturing in Industry 4.0

Ming-zhou Liu,Cong-hu Liu,Mao-gen Ge,Yuan Zhang,Qing-hua Zhu

Journal Article

From total quality management to Quality 4.0: A systematic literature review and future research agenda

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

An Industry 4.0 Approach to the 3D Printing of Composite Materials

Bronwyn Fox, Aleksander Subic

Journal Article

Refinery production scheduling toward Industry 4.0

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

Journal Article

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

Gu Weidong

Journal Article

Balancing resilience and efficiency in supply chains: Roles of disruptive technologies under Industry4.0

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

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

Fengzhou FANG

Journal Article

Smart Manufacturing and Intelligent Manufacturing: A Comparative Review

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

Journal Article

Framework and case study of cognitive maintenance in Industry 4.0

Bao-rui Li, Yi Wang, Guo-hong Dai, Ke-sheng Wang,kesheng.wang@ntnu.no

Journal Article

Precision glass molding: Toward an optimal fabrication of optical lenses

Liangchi ZHANG,Weidong LIU

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

Big data and machine learning: A roadmap towards smart plants

Journal Article

A discussion of objective function representation methods in global optimization

Panos M. PARDALOS, Mahdi FATHI

Journal Article