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Brief Analysis on Three Basic Paradigms of Intelligent Manufacturing
Zang Jiyuan, Wang Baicun, Meng Liu , Zhou Yuan
Strategic Study of CAE 2018, Volume 20, Issue 4, Pages 13-18 doi: 10.15302/J-SSCAE-2018.04.003
This paper briefly describes the significance of studying the paradigms of intelligent manufacturing, and introduces the connotation and development process of intelligent manufacturing. By analyzing the characteristics of relevant paradigms of intelligent manufacturing, three basic paradigms of intelligent manufacturing are summarized: digital manufacturing, digital and networked manufacturing ("Internet Plus" manufacturing or smart manufacturing), and digital, networked, and intelligentized manufacturing (new-generation intelligent manufacturing). The connotation and characteristics of the three basic paradigms are expounded. China should start with the digital manufacturing, thus to consolidate the foundation for the development of intelligent manufacturing. In the next stage, China should focus on the development of "Internet Plus" manufacturing, and promote these three basic paradigms in parallel. The new-generation intelligent manufacturing will fundamentally lead and advance the fourth industrial revolution, and bring a historic opportunity for China's manufacturing to achieve leapfrog development.
Keywords： basic paradigms digital manufacturing “Internet Plus” manufacturing new-generation intelligent manufacturing
Zhong Zhihua, Zang Jiyuan, Yan Jianlin, Miao Zhongzhen, Yang Xiaoying, Gu Yishana
Strategic Study of CAE 2020, Volume 22, Issue 6, Pages 136-142 doi: 10.15302/J-SSCAE-2020.06.018
Over the past few years, China has seized a historical opportunity to expedite the development of intelligent manufacturing driven by a new round of scientific and technological revolution and industrial transformation. However, the overall development of China’s intelligent manufacturing is still in its infancy. Issues of the unbalanced and inadequate development of intelligent manufacturing remain prominent in China, which could pose great challenges to its future development. In the forthcoming era, China must focus on the comprehensive development of intelligent manufacturing in order to cultivate a manufacturing industry that is both large in scale and strong in its capabilities. The central technology theme is to promote parallel progress and integrated development of “digitalized manufacturing”, “digitalized and networked manufacturing”, and “digitalized, networked, and intelligent manufacturing.” It is essential to integrate digitalized, networked, and intelligent enabling technologies with advanced manufacturing technologies when adopting intelligent manufacturing. In the meantime, firms should search for comprehensive breakthroughs in products and process innovation as well as advances in business models and integrated manufacturing systems. Consequently, the development of intelligent manufacturing will facilitate the pioneering development and intelligent upgrading of manufacturing firms.
Keywords： China Manufacturing intelligent manufacturing digitalized manufacturing digitalized and networked manufacturing digitized networked and intelligent manufacturing
Applications of artificial intelligence in intelligent manufacturing: a review Review
Bo-hu LI,Bao-cun HOU,Wen-tao YU,Xiao-bing LU,Chun-wei YANG
Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 1, Pages 86-96 doi: 10.1631/FITEE.1601885
Keywords： Artificial intelligence Intelligent manufacturing Intelligent manufacturing system
Research on Intelligent Manufacturing Development Strategy in China
The Research Group for Research on Intelligent Manufacturing Development Strategy
Strategic Study of CAE 2018, Volume 20, Issue 4, Pages 1-8 doi: 10.15302/J-SSCAE-2018.04.001
Intelligent manufacturing is the focus for building China into a manufacturing power. Intelligent manufacturing is a general concept under continuous development. In this paper, the intension of intelligent manufacturing is put forward. Intelligent manufacturing is categorized into three basic paradigms: digital manufacturing, smart manufacturing, and new-generation intelligent manufacturing. It is proposed that China should push forward the intelligent transformation of its manufacturing industry by adopting a technology roadmap of “parallel promotion and integrated development”. The strategic objectives, strategic guidelines, and development paths for the future development of intelligent manufacturing in China are put forward. Then some preliminary suggestions, in terms of mechanism guarantee and policies in China, including strengthening and implementing the intelligent manufacturing promotion mechanism, increasing fiscal and financial support, and deepening international exchanges and cooperation are proposed.
Keywords： new-generation intelligent manufacturing basic paradigms parallel promotion and integrated development
Development Strategy for Intelligent Factory in Discrete Manufacturing
Lu Bingheng, Shao Xinyu , Zhang Jun, Wang Lei
Strategic Study of CAE 2018, Volume 20, Issue 4, Pages 44-50 doi: 10.15302/J-SSCAE-2018.04.008
A new-generation intelligent manufacturing, characterized by the marriage of the next-generation artificial intelligence technology and advanced manufacturing industry, is emerging and becoming the core technology of the fourth industrial revolution. China’s manufacturing industry as a whole is big but not strong. The development of intelligent manufacturing can promote China’s manufacturing industry by improving both quality and efficiency, and ultimately, is the main path for the transformation and upgrading of China’s manufacturing industry. Intelligent production is a major component of intelligent manufacturing, while intelligent factory is the carrier for intelligent production. This paper focuses on the development strategy for smart factories in discrete manufacturing. First, the concept of intelligent factory is introduced, with its basic structure, information system architecture, and basic characteristics in discrete manufacturing discussed. Then, the key breakthrough directions and the implementation plan for intelligent factory are laid out. Finally, following suggestions are provided for policy makers to develop intelligent factory: ① actively support and guide the development of intelligent manufacturing through pilot and demonstration projects, and promote the formation of an ecological chain for intelligent manufacturing with regional advantages; ② encourage enterprises to build intelligent factories to construct technological competitive advantages and enhance economic benefits; ③ establish and improve the synergy mechanism for innovation; ④ highlight the Made-in-China capabilities for core technologies, key equipment components, and industrial software.
Keywords： intelligent manufacturing intelligent factory discrete manufacturing
Shuai Mao, Bing Wang, Yang Tang, Feng Qian
Engineering 2019, Volume 5, Issue 6, Pages 995-1002 doi: 10.1016/j.eng.2019.08.013
Smart manufacturing is critical in improving the quality of the process industry. In smart manufacturing, there is a trend to incorporate different kinds of new-generation information technologies into process-safety analysis. At present, green manufacturing is facing major obstacles related to safety management, due to the usage of large amounts of hazardous chemicals, resulting in spatial inhomogeneity of chemical industrial processes and increasingly stringent safety and environmental regulations. Emerging information technologies such as artificial intelligence (AI) are quite promising as a means of overcoming these difficulties. Based on state-of-the-art AI methods and the complex safety relations in the process industry, we identify and discuss several technical challenges associated with process safety: ① knowledge acquisition with scarce labels for process safety; ② knowledge-based reasoning for process safety; ③ accurate fusion of heterogeneous data from various sources; and ④ effective learning for dynamic risk assessment and aided decision-making. Current and future works are also discussed in this context.
Keywords： Process industry Smart manufacturing Green manufacturing Artificial intelligence
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
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
From Intelligence Science to Intelligent Manufacturing
Lihui Wang
Engineering 2019, Volume 5, Issue 4, Pages 615-618 doi: 10.1016/j.eng.2019.04.011
Feng Qian,Weimin Zhong,Wenli Du
Engineering 2017, Volume 3, Issue 2, Pages 154-160 doi: 10.1016/J.ENG.2017.02.011
Given the significant requirements for transforming and promoting the process industry, we present the major limitations of current petrochemical enterprises, including limitations in decision-making, production operation, efficiency and security, information integration, and so forth. To promote a vision of the process industry with efficient, green, and smart production, modern information technology should be utilized throughout the entire optimization process for production, management, and marketing. To focus on smart equipment in manufacturing processes, as well as on the adaptive intelligent optimization of the manufacturing process, operating mode, and supply chain management, we put forward several key scientific problems in engineering in a demand-driven and application-oriented manner, namely: ① intelligent sensing and integration of all process information, including production and management information; ② collaborative decision-making in the supply chain, industry chain, and value chain, driven by knowledge; ③ cooperative control and optimization of plant-wide production processes via human-cyber-physical interaction; and ④ life-cycle assessments for safety and environmental footprint monitoring, in addition to tracing analysis and risk control. In order to solve these limitations and core scientific problems, we further present fundamental theories and key technologies for smart and optimal manufacturing in the process industry. Although this paper discusses the process industry in China, the conclusions in this paper can be extended to the process industry around the world.
Keywords： Process industry Smart and optimal manufacturing Green manufacturing High-end manufacturing Optimality assessment
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
Based on the in-depth analysis of features of the process industry, the state of art of its operation control, and the global development of intelligent manufacturing, a new mode of intelligent manufacturing for the process industry, i.e., smart and optimal manufacturing, is proposed. After analysis of the development situation of the existing three-tier architecture (consisting of enterprise resource planning, manufacturing execution system, and process control system) and the control and management informatization system adopted by process enterprises, a smart and optimal manufacturing framework and prospects for future process enterprises are presented, followed by the analysis of key generic technologies that are critical for the successful deployment of intelligent manufacturing in the process industry. The fundamental challenges and open scientific problems to be addressed jointly by the communities of automation, computer and communication, and data science are also presented. Moreover, suggestions on the future development and deployment of smart and optimal manufacturing in the process industry are offered, include emphasizing the strategic position of the process industry, actualizing the strategic planning and top-level design.
Keywords： process industry smart and optimal manufacturing development vision scientific challenges
Yuan Zhou, Jiyuan Zang, Zhongzhen Miao, Tim Minshall
Engineering 2019, Volume 5, Issue 4, Pages 691-701 doi: 10.1016/j.eng.2019.07.016
Intelligent technologies are leading to the next wave of industrial revolution in manufacturing. In developed economies, firms are embracing these advanced technologies following a sequential upgrading strategy—from digital manufacturing to smart manufacturing (digital-networked), and then to newgeneration intelligent manufacturing paradigms. However, Chinese firms face a different scenario. On the one hand, they have diverse technological bases that vary from low-end electrified machinery to leading-edge digital-network technologies; thus, they may not follow an identical upgrading pathway. On the other hand, Chinese firms aim to rapidly catch up and transition from technology followers to probable frontrunners; thus, the turbulences in the transitioning phase may trigger a precious opportunity for leapfrogging, if Chinese manufacturers can swiftly acquire domain expertise through the adoption of intelligent manufacturing technologies. This study addresses the following question by conducting multiple case studies: Can Chinese firms upgrade intelligent manufacturing through different pathways than the sequential one followed in developed economies? The data sources include semistructured interviews and archival data. This study finds that Chinese manufacturing firms have a variety of pathways to transition across the three technological paradigms of intelligent manufacturing in nonconsecutive ways. This finding implies that Chinese firms may strategize their own upgrading pathways toward intelligent manufacturing according to their capabilities and industrial specifics; furthermore, this finding can be extended to other catching-up economies. This paper provides a strategic roadmap as an explanatory guide to manufacturing firms, policymakers, and investors.
Keywords： Intelligent manufacturing Upgrading pathways China’s manufacturing Digitalization Networkization New-generation intelligent manufacturing
Integrated and Intelligent Manufacturing: Perspectives and Enablers
Yubao Chen
Engineering 2017, Volume 3, Issue 5, Pages 588-595 doi: 10.1016/J.ENG.2017.04.009
With ever-increasing market competition and advances in technology, more and more countries are prioritizing advanced manufacturing technology as their top priority for economic growth. Germany announced the Industry 4.0 strategy in 2013. The US government launched the Advanced Manufacturing Partnership (AMP) in 2011 and the National Network for Manufacturing Innovation (NNMI) in 2014. Most recently, the Manufacturing USA initiative was officially rolled out to further “leverage existing resources… to nurture manufacturing innovation and accelerate commercialization” by fostering close collaboration between industry, academia, and government partners. In 2015, the Chinese government officially published a 10-year plan and roadmap toward manufacturing: Made in China 2025. In all these national initiatives, the core technology development and implementation is in the area of advanced manufacturing systems. A new manufacturing paradigm is emerging, which can be characterized by two unique features: integrated manufacturing and intelligent manufacturing. This trend is in line with the progress of industrial revolutions, in which higher efficiency in production systems is being continuously pursued. To this end, 10 major technologies can be identified for the new manufacturing paradigm. This paper describes the rationales and needs for integrated and intelligent manufacturing (i2M) systems. Related technologies from different fields are also described. In particular, key technological enablers, such as the Internet of Things and Services (IoTS), cyber-physical systems (CPSs), and cloud computing are discussed. Challenges are addressed with applications that are based on commercially available platforms such as General Electric (GE)’s Predix and PTC’s ThingWorx.
Keywords： Integrated manufacturing Intelligent manufacturing Cloud computing Cyber-physical system Internet of Things Industrial Internet Predictive analytics Manufacturing platform
Feng Qian
Engineering 2019, Volume 5, Issue 6, Pages 981-981 doi: 10.1016/j.eng.2019.10.002
Li Bohu, Chai Xudong, Zhang Lin, Hou Baocun, Liu Yang
Strategic Study of CAE 2018, Volume 20, Issue 4, Pages 73-78 doi: 10.15302/J-SSCAE-2018.04.012
This paper first briefly explains the booming era of "New Internet + Big Data + Artificial Intelligence +", then discussed that an intelligent manufacturing system guided by a new-generation of artificial intelligence technology is a new intelligent interconnected manufacturing system that integrates human, machine, material, environment, and information through "New Internet + New Intelligent Manufacturing Resources/Capabilities/Products". This paper also explains the connotation, architecture, and technical system of the intelligent manufacturing system guided by a new-generation of artificial intelligence technology, and introduces the preliminary study on its prototype—big data intelligence in the CASICloud. Finally, some suggestions for developing the intelligent manufacturing system guided by a new-generation of artificial intelligence technology are put forward. Particularly, importance must be attached to the coordinated development of technologies, application, and industries; while highlighting the characteristics of different countries, industries, and enterprises, cooperation and exchange with the whole country or even the whole world must be strengthened, thereby forming a new mode, new means, and new form of intelligent manufacturing in the new era.
Keywords： new-generation intelligent manufacturing new-intelligent interconnected manufacturing system big data intelligence
Greenization, Intelligentization and Remanufacture in Service of Equipment in Process Industry
Gao Jinji and Yang Guoan
Strategic Study of CAE 2015, Volume 17, Issue 7, Pages 54-53
Process industries such as steel and petrochemical engineering are the pillar industry of national economy, which are the foundation to achieve “manufacturing prower” and the top 10 development areas of “Made in China 2025.” So far, the disharmony of equipment and process engineering in process industries results in the outstanding problems in safety and economic operation, such as high energy consumption and high failure rates of equipments. In this paper, the reasons are analyzed in design and construction, business management, government orientation and talent cultivation. Development strategies are put forward for greenization, intelligentization and remanufacture in service of equipments in process industries. Some strategies and policy proposals are also put forward for greening design and manufacture, intelligentized supervisory control of health and energy efficiency for equipment, and remanufacture in service.
Keywords： process industry equipment greenization intelligentization remanufacture in service
Title Author Date Type Operation
Brief Analysis on Three Basic Paradigms of Intelligent Manufacturing
Zang Jiyuan, Wang Baicun, Meng Liu , Zhou Yuan
Journal Article
Intelligent Manufacturing Promotes the Comprehensive Upgrading and Innovative Growth of China’s Manufacturing Industry
Zhong Zhihua, Zang Jiyuan, Yan Jianlin, Miao Zhongzhen, Yang Xiaoying, Gu Yishana
Journal Article
Applications of artificial intelligence in intelligent manufacturing: a review
Bo-hu LI,Bao-cun HOU,Wen-tao YU,Xiao-bing LU,Chun-wei YANG
Journal Article
Research on Intelligent Manufacturing Development Strategy in China
The Research Group for Research on Intelligent Manufacturing Development Strategy
Journal Article
Development Strategy for Intelligent Factory in Discrete Manufacturing
Lu Bingheng, Shao Xinyu , Zhang Jun, Wang Lei
Journal Article
Opportunities and Challenges of Artificial Intelligence for Green Manufacturing in the Process Industry
Shuai Mao, Bing Wang, Yang Tang, Feng Qian
Journal Article
Fundamental Theories and Key Technologies for Smart and Optimal Manufacturing in the Process Industry
Feng Qian,Weimin Zhong,Wenli Du
Journal Article
Upgrading Pathways of Intelligent Manufacturing in China: Transitioning across Technological Paradigms
Yuan Zhou, Jiyuan Zang, Zhongzhen Miao, Tim Minshall
Journal Article
Smart Process Manufacturing Systems: Deep Integration of Artificial Intelligence and Process Manufacturing
Feng Qian
Journal Article
Accelerate the Development of Intelligent Manufacturing Technologies, Industries, and Application under the Guidance of a New-Generation of Artificial Intelligence Technology
Li Bohu, Chai Xudong, Zhang Lin, Hou Baocun, Liu Yang
Journal Article
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