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工业4.0 7

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人–信息–物理系统 1

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基于RAMI 4.0解读新一代智能制造

赵敏

《中国工程科学》 2018年第20卷第4期页码 90-96 doi: 10.15302/J-SSCAE-2018.04.015

摘要： : justify;">为了深入认识中国工程院“基于新一代人工智能的‘中国智能制造发展战略研究报告’”的重要意义，笔者采取了解构和重构的方法，对德国工业4.0参考架构模型（RAMI 4.0）进行了剖析，并与中国工程院报告中提出的智能制造总体架构做了对比，发现了彼此的相同和差异之处，认为中国版智能制造总体架构在智能程度上更胜一筹，这是中国人对智能制造发展的贡献

关键词： RAMI 4.0 信息物理系统（CPS）基本范式新一代人工智能架构技术维组织维价值维

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

《工程管理前沿（英文）》 2023年第10卷第2期页码 191-205 doi: 10.1007/s42524-022-0243-z

摘要： Quality 4.0 is an emerging concept that has been increasingly appreciated because of the intensification of competition, continually changing customer requirements and technological evolution. It deals with aligning quality management practices with the emergent capabilities of Industry 4.0 to improve cost, time, and efficiency and increase product quality. This article aims to comprehensively review extant studies related to Quality 4.0 to uncover current research trends, distil key research topics, and identify areas for future research. Thus, 46 journal articles extracted from the Scopus database from 2017 to 2022 were collected and reviewed. A descriptive analysis was first performed according to the year-wise publication, sources of publication, and research methods. Then, the selected articles were analyzed and classified according to four research themes: Quality 4.0 concept, Quality 4.0 implementation, quality management in Quality 4.0, and Quality 4.0 model and application. By extracting the literature review findings, we identify the Quality 4.0 definitions and features, develop the quality curve theory, and highlight future research opportunities. This study supports practitioners, managers, and academicians in effectively recognizing and applying Quality 4.0 to enhance customer satisfaction, achieve innovation enterprise efficiency, and increase organizational competitiveness in the era of Industry 4.0.

关键词： quality management Quality 4.0 Industry 4.0 literature review predictive quality

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对工业4.0背景下的智能制造的回顾

钟润阳, 徐旬, Eberhard Klotz, Stephen T. Newman

《工程（英文）》 2017年第3卷第5期页码 616-630 doi: 10.1016/J.ENG.2017.05.015

摘要：

作为新一代工业模式的工业4.0旨在提升生产灵活性，也将继续提高企业生产效率，保证更高的产品质量以及培养承担大规模定制的能力。在工业4.0模式中，智能制造发挥着重要的作用。典型的资源被转换成智能实体，以便它们能够在智能环境中感知、行动和行为。为了能充分理解在在工业4.0背景下的智能制造，本文对智能制造、物联网（IoT）支持制造和云制造等相关课题进行了综合评述，在我们已有的分析基础上对其中的相似之处和不同点进行了重点探讨。

关键词：智能制造工业4.0 物联网制造系统物理信息系统

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能源4.0：重塑经济结构——互联网技术与智慧能源

顾为东

《中国工程科学》 2015年第17卷第3期页码 4-9

摘要：

本文根据几十年系统研究，提出与工业4.0相适应的能源4.0概念，其特征是通过互联网与电网，将太阳能、风能、化石能源、核能等供电侧与电解铝、氯碱、大规模海水淡化、制氢、煤炭清洁化、煤化工、冶金等高耗能产业用电侧

关键词：能源4.0；产业能源互联网；高耗能产业；调峰

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Remanufacturing in Industry 4.0

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

《工程管理前沿（英文）》 2016年第3卷第2期页码 144-146 doi: 10.15302/J-FEM-2016020

摘要： Using the theory of human blood circulation system, the authors explore the importance of remanufacturing in Industry 4.0. In this paper, they draw analogies between smart factory and human heart, between smart products and blood, and, between product function and nutrition and oxygen in the blood. Remanufacturing is analogous to the ingestion of oxygen and nutrition in lesser circulation or systemic circulation. Remanufacturing well supports recycling production, which is significant in realizing intelligent industry. Furthermore, this paper discusses the development direction of remanufacturing engineering in Industry 4.0 ages.

关键词： remanufacturing Industry 4.0 sustainable development

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工业4.0复合材料3D打印方法

Bronwyn Fox, Aleksander Subic

《工程（英文）》 2019年第5卷第4期页码 621-623 doi: 10.1016/j.eng.2019.06.003

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智能制造的技术与经济逻辑

郭朝晖

《中国工程科学》 2018年第20卷第4期页码 97-100 doi: 10.15302/J-SSCAE-2018.04.016

摘要：

本文针对我国工业企业推进智能制造时面临的困惑，研究了促进相关技术深入应用的方法。通过调研和对比分析发现，企业的困惑本质上是技术的经济性差。推进技术应用的关键是提高技术经济性，而管理落后、质量要求低等问题，往往是制约技术经济性的普遍性原因。要解决技术经济性问题，需要在业务层面制定转型升级的战略目标、面向高质量发展，才能带动技术经济性。将智能制造相关技术用于管理水平的提升、补上企业的短板，也能提高技术经济性。

关键词：智能制造工业互联网工业4.0 赛博空间

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解析“工业互联网”与“工业4.0”及其对中国制造业发展的启示

延建林,孔德婧

《中国工程科学》 2015年第17卷第7期页码 141-140

摘要：

21世纪以来,欧美等发达国家和地区加快发展先进制造业，以美国“工业互联网”与德国“工业4.0”最为典型。“工业互联网”与“工业4.0”引起了全球制造业的产品开发、生产模式和制造价值实现方式的转变。

关键词：工业互联网工业4.0 模式转变《中国制造2025》

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Refinery production scheduling toward Industry 4.0

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

《工程管理前沿（英文）》 2018年第5卷第2期页码 202-213 doi: 10.15302/J-FEM-2017024

摘要： 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.

关键词： cyber-physical systems optimization petrochemical industry scheduling smart manufacturing

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Balancing resilience and efficiency in supply chains: Roles of disruptive technologies under Industry 4.0

《工程管理前沿（英文）》页码 171-176 doi: 10.1007/s42524-022-0247-8

摘要： In the Industry 4.0 era, disruptive technologies such as big data analytics, blockchain, Internet-of-Things, and additive manufacturing have become major forces driving supply chain transformation. Under such circumstances, particular attention should be attached to balancing resilience and efficiency of the supply chain, especially in the presence of more turbulence. In this study, we first summarize the conflicts between supply chain efficiency and supply chain resilience regarding practices and objectives. Then, we discuss the positive effects of disruptive technologies in improving resilience and efficiency. Afterwards, we propose a research agenda that covers both the influence mechanism and trade-off mechanism of these technologies in terms of resilience and efficiency.

关键词： disruptive technologies supply chain resilience efficiency paradox balance

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工业4.0中认知维护框架与案例研究 Special Feature on Industrial Internet

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

《信息与电子工程前沿（英文）》 2019年第20卷第11期页码 1493-1504 doi: 10.1631/FITEE.1900193

摘要：提出一种基于信息物理系统和先进人工智能技术的认知维护（CM）框架。CM系统架构集成了智能深度学习方法和智能决策技术，可服务于尖端设备的专业维护人员。该系统将为实时在线维护任务提供技术解决方案，避免因设备故障导致的停机，确保设备和制造资产的持续健康运行。CM实现框架由信息物理系统、物联网、数据挖掘和服务互联网4个模块组成。在数据挖掘模块中，采用深度学习方法实现故障诊断和预测。在实例分析中，以尖端机床侧隙误差为例。利用一个深度置信网络预测机床侧隙误差，预测机床可能发生的故障，实现机床的CM策略。通过案例分析，探讨了在尖端设备上实施CM的意义，并验证了CM实施框架。最后总结了CM系统在制造企业的一些应用经验。

关键词：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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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

《机械工程前沿（英文）》 2018年第13卷第2期页码 137-150 doi: 10.1007/s11465-018-0499-5

摘要：

Information and communication technology is undergoing rapid development, and many disruptive technologies, such as cloud computing, Internet of Things, big data, and artificial intelligence, have emerged. These technologies are permeating the manufacturing industry and enable the fusion of physical and virtual worlds through cyber-physical systems (CPS), which mark the advent of the fourth stage of industrial production (i.e., Industry 4.0). The widespread application of CPS in manufacturing environments renders manufacturing systems increasingly smart. To advance research on the implementation of Industry 4.0, this study examines smart manufacturing systems for Industry 4.0. First, a conceptual framework of smart manufacturing systems for Industry 4.0 is presented. Second, demonstrative scenarios that pertain to smart design, smart machining, smart control, smart monitoring, and smart scheduling, are presented. Key technologies and their possible applications to Industry 4.0 smart manufacturing systems are reviewed based on these demonstrative scenarios. Finally, challenges and future perspectives are identified and discussed.

关键词： Industry 4.0 smart manufacturing systems Internet of Things cyber-physical systems big data analytics framework

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智能制造——比较性综述与研究进展 Review

王柏村, 陶飞, 方续东, 刘超, 刘宇飞, Theodor Freiheit

《工程（英文）》 2021年第7卷第6期页码 738-757 doi: 10.1016/j.eng.2020.07.017

摘要：随着工业4.0的发展，人工智能迅速地应用在现代制造业与人-信息-物理系统，SM与IM这两个概念有合二为一的发展趋势，因此深入理解SM和IM变得越来越重要，本研究将为此提供支撑。

关键词：智能制造工业4.0 人–信息–物理系统

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环境信息系统——为水管理数字化（Water 4.0）铺平道路

Olaf Kolditz, Karsten Rink, Erik Nixdorf, Thomas Fischer, Lars Bilke, Dmitri Naumov, Zhenliang Liao, Tianxiang Yue

《工程（英文）》 2019年第5卷第5期页码 828-832 doi: 10.1016/j.eng.2019.08.002

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

Fengzhou FANG

《机械工程前沿（英文）》 2016年第11卷第4期页码 325-327 doi: 10.1007/s11465-016-0402-1

摘要：

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 found in terms of achieving a “leap-frog development”. Unlike conventional manufacturing, the fundamental theory of “Manufacturing 3.0” is beyond the scope of conventional theory; rather, it is based on new principles and theories at the atomic and/or close-to-atomic scale. Obtaining a dominant role at the international level is a strategic move for China’s progress.

关键词： atomic manufacturing Manufacturing 3.0 Manufacturing 2025 Industry 4.0