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Study on “Industrial Internet” and “Industrie 4.0”

Yan Jianlin, and Kong Dejing

Strategic Study of CAE 2015, Volume 17, Issue 7, Pages 141-140

Abstract: “Industrial Internet” from the U.S. and “Industrie 4.0” from Germany should be

Keywords： industrial internet Industrie 4.0 mode transformation “Made in China 2025”

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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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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 manufacturing, this article introduces the methods for facilitating in-depth application of related technologies. It is shown through research and comparison, that the fundamental cause of these difficulties is the poor economic efficiency of technology. Therefore, the key to promote the application of certain technology is to improve the economic efficiency of technology. Besides, problems such as out-dated management levels and low requirements for quality are the general causes restraining the economic efficiency of technology. To promote the economic efficiency of technology, strategic goals have to be set for technological transformation and upgrading on a business level, and a higher quality standard should also be set. Meanwhile, intelligent manufacturing related technologies can be used to promote the management level and to address the weaknesses of the enterprises, thus to improve the economic efficiency of technology.

Keywords： smart manufacture industrial Internet Industrial 4.0 Cyberspace

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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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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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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: Recently, the implementation of has become a new tendency, and it brings both opportunities and challenges to worldwide manufacturing companies. Thus, many manufacturing companies are attempting to find advanced technologies to launch transformation. In this study, we propose a new model to measure the readiness for the , which aims to guide companies in recognizing their current stage and short slabs when carrying out transformation. Although some models have already been reported to measure readiness and maturity, there are no models that are aimed at the . This newly proposed model has six levels to describe different development stages for . In addition, the model consists of four races, nine species, and 25 domains that are relevant to the essential businesses of companies’ daily operation and capability requirements of . Furthermore, these 25 domains are divided into 249 characteristic items to evaluate the manufacturing readiness in detail. A questionnaire is also designed based on the proposed model to help process-industry companies easily carry out self-diagnosis. Using the new method, a case including 196 real-world process-industry companies is evaluated to introduce the method of how to use the proposed model. Overall, the proposed model provides a new way to assess the degree of readiness for process-industry companies.

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

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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: provided, which is increasingly important because the trend to merge both terminologies rises in Industry 4.0

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

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Flexible Resource Scheduling for Software-Defined Cloud Manufacturing with Edge Computing Article

Chen Yang,Fangyin Liao,Shulin Lan,Lihui Wang,Weiming Shen,George Q. Huang

Engineering 2023, Volume 22, Issue 3, Pages 60-70 doi: 10.1016/j.eng.2021.08.022

Abstract:

This research focuses on the realization of rapid reconfiguration in a cloud manufacturing environment to enable flexible resource scheduling, fulfill the resource potential and respond to various changes. Therefore, this paper first proposes a new cloud and software-defined networking (SDN)-based manufacturing model named software-defined cloud manufacturing (SDCM), which transfers the control logic from automation hard resources to the software. This shift is of significance because the software can function as the “brain” of the manufacturing system and can be easily changed or updated to support fast system reconfiguration, operation, and evolution. Subsequently, edge computing is introduced to complement the cloud with computation and storage capabilities near the end things. Another key issue is to manage the critical network congestion caused by the transmission of a large amount of Internet of Things (IoT) data with different quality of service (QoS) values such as latency. Based on the virtualization and flexible networking ability of the SDCM, we formalize the time-sensitive data traffic control problem of a set of complex manufacturing tasks, considering subtask allocation and data routing path selection. To solve this optimization problem, an approach integrating the genetic algorithm (GA), Dijkstra’s shortest path algorithm, and a queuing algorithm is proposed. Results of experiments show that the proposed method can efficiently prevent network congestion and reduce the total communication latency in the SDCM.

Keywords： Cloud manufacturing Edge computing Software-defined networks Industrial internet of things Industry 4.0

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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 toThis article aims to comprehensively review extant studies related to Quality 4.0 to uncover currentThen, the selected articles were analyzed and classified according to four research themes: Quality 4.0concept, Quality 4.0 implementation, quality management in Quality 4.0, and Quality 4.0 model and application

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

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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: focus on hardware, software, additive manufacturing, robotics, the Internet of Things, and Industry 4.0

Keywords： Advanced Manufacturing Partnership Ecosystem Industry 4.0 Intelligent manufacturing Internet of Things

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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.& industry internet is a high efficiency， low cost， sustainable， and regulatory network. energy 4.0

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

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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: of human blood circulation system, the authors explore the importance of remanufacturing in Industry 4.0Furthermore, this paper discusses the development direction of remanufacturing engineering in Industry 4.0

Keywords： remanufacturing Industry 4.0 sustainable development

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Understanding of a New Generation of Intelligent Manufacturing based on RAMI 4.0

Zhao Min

Strategic Study of CAE 2018, Volume 20, Issue 4, Pages 90-96 doi: 10.15302/J-SSCAE-2018.04.015

Abstract: method of deconstruction and reconstruction, to analyze the Reference Architecture Model of Industrial 4.0(RAMI 4.0) of Germany, and compared with the general architecture of intelligent manufacturing proposed

Keywords： RAMI 4.0 cyber-physics system (CPS) basic paradigm new-generation artificial intelligence architecture

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Smart Society and Artificial Intelligence: Big Data Scheduling and the Global Standard Method Applied to Smart Maintenance Article

Ruben Foresti, Stefano Rossi, Matteo Magnani, Corrado Guarino Lo Bianco, Nicola Delmonte

Engineering 2020, Volume 6, Issue 7, Pages 835-846 doi: 10.1016/j.eng.2019.11.014

Abstract:

The implementation of artificial intelligence (AI) in a smart society, in which the analysis of human habits is mandatory, requires automated data scheduling and analysis using smart applications, a smart infrastructure, smart systems, and a smart network. In this context, which is characterized by a large gap between training and operative processes, a dedicated method is required to manage and extract the massive amount of data and the related information mining. The method presented in this work aims to reduce this gap with near-zero-failure advanced diagnostics (AD) for smart management, which is exploitable in any context of Society 5.0, thus reducing the risk factors at all management levels and ensuring quality and sustainability. We have also developed innovative applications for a humancentered management system to support scheduling in the maintenance of operative processes, for reducing training costs, for improving production yield, and for creating a human–machine cyberspace for smart infrastructure design. The results obtained in 12 international companies demonstrate a possible global standardization of operative processes, leading to the design of a near-zero-failure intelligent system that is able to learn and upgrade itself. Our new method provides guidance for selecting the new generation of intelligent manufacturing and smart systems in order to optimize human–machine interactions, with the related smart maintenance and education.

Keywords： Human-centered management system Big data scheduling Global standard method Society 5.0 Industry 4.0

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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: Understanding the holistic relationship between refinery production scheduling (RPS) and the cyber-physical production environment with smart scheduling is a new question posed in the study of process systems engineering. Here, we discuss state-of-the-art RSPs in the crude-oil refining field and present examples that illustrate how smart scheduling can impact operations in the high-performing chemical process industry. We conclude that, more than any traditional off-the-shelf RPS solution available today, flexible and integrative specialized modeling platforms will be increasingly necessary to perform decentralized and collaborative optimizations, since they are the technological alternatives closer to the advanced manufacturing philosophy.

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

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Title Author Date Type Operation

Study on “Industrial Internet” and “Industrie 4.0”

Yan Jianlin, and Kong Dejing

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

Technological and Economical Logic for Intelligent Manufacturing

Guo Zhaohui

Journal Article

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

Bronwyn Fox, Aleksander Subic

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

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

Smart Manufacturing and Intelligent Manufacturing: A Comparative Review

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

Journal Article

Flexible Resource Scheduling for Software-Defined Cloud Manufacturing with Edge Computing

Chen Yang,Fangyin Liao,Shulin Lan,Lihui Wang,Weiming Shen,George Q. Huang

Journal Article

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

Journal Article

The Future of Manufacturing: A New Perspective

Ben Wang