Research hotspots and tendency of intelligent manufacturing

Yan, Jihong; Bailin, LI

doi:10.1360/n972019-00125

Cited by 12 publications

(3 citation statements)

References 15 publications

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“…Cross-platform and cross-system integrated applications between enterprises cannot achieve seamless docking, and enterprises sometimes even need to re-establish platforms or systems. Additionally, the top-level framework design for intelligent manufacturing has been completed in significantly developed nations [9], including RAMI4.0 of the German Industry 4.0, and IIRA1.8 of the Industrial Internet of Things of the United States' Industrial Internet of Things. China released the Industrial Internet System Architecture V1.0 in 2016.…”

Section: Problems Faced By the Development Of Intelligent Manufacturi...mentioning

confidence: 99%

Development Practice and Breakthrough Path of China's Intelligent Manufacturing

Zhou¹,

Zhao²,

Liu³

2022

Chinese Journal of Engineering Science

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Intelligent manufacturing has become an unavoidable developmental trend in modern manufacturing and is the primary focus of the China Manufacturing 2025 Strategy. Moreover, it is the only method for China's manufacturing industry to go from large to strong. Investigating intelligent manufacturing breakthrough paths is critical for fostering the high-quality development of China's manufacturing industry and accelerating industrial transformation. It is also necessary to practice the "four orientations." In this paper, we investigated the development methods of intelligent manufacturing in China and summarize its essential characteristics based on strategic layout, pilot demonstration, industrial agglomeration, and stage determination. We also investigate the problems that exist in the development process. Currently, some of the standards, policies, technologies, talents, finance, and taxation for intelligent manufacturing cannot meet the developmental requirements of the new era. During the 14th Five-Year Plan period, targeted efforts focused on policy standards, core technologies, and supporting elements are required to foster high-quality growth of intelligent manufacturing. Specifically, China should strengthen its top-level design to improve its policy and standards system, optimize its strategic layout to achieve breakthroughs in core technologies, and improve the institutional guarantee and support of key elements.

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Section: Problems Faced By the Development Of Intelligent Manufacturi...mentioning

confidence: 99%

Development Practice and Breakthrough Path of China's Intelligent Manufacturing

Zhou¹,

Zhao²,

Liu³

2022

Chinese Journal of Engineering Science

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“…DT is an element of intelligent factory and allows to sense remotely, ensures real-time monitoring as well as controls of devices composed into a cyber-physical system (Lee et al, 2015;Negri et al, 2017). Intelligent manufacturing developments can be divided into three stages: Stage 1 -initial development stage (1987)(1988)(1989)(1990)(1991)(1992)(1993)(1994)(1995)(1996)(1997), Stage 2 -the stable development stage (1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012) and Stage 3 -the rapid development stage (since 2013) (Yan & Li, 2020). DTs together with Internet of Things (IoT), Big Data and Cloud Manufacturing as well as Cyber-Physical System (CPS) have been developed since 2013 and are recognized as new enabling technologies for intelligent manufacturing supporting smart prediction, evaluation, optimization and decision-making (Yan & Li, 2020).…”

Section: Digital Twinsmentioning

confidence: 99%

Towards Digital Twins Development and Implementation to Support Sustainability – Systematic Literature Review

Pater

Stadnicka

2021

Management and Production Engineering Review

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Digital twin (DT) is a solution for presenting reality in a virtual world. DTs have been discussed in the literature only recently. The aim of this work is to review and analyse literature connected to DTs. Under a systematic literature review the authors searched databases for the information how DTs can support organization operations and how they can support sustainability of companies. A literature review was performed according to a developed research methodology, which covers research questions and keywords identification, selection criteria and results analysis. Databases, such as Web of Science, Scopus and Science Direct, were searched. The titles, abstracts and keywords were searched for works related to digital twins, sustainable development and manufacturing processes. Moreover, the search was focused on real-time monitoring, data, decision-making etc. The keywords used in the searching process are specified in the methodology. Afterwards, quantitate and qualitative analysis were performed taking into account number of publication, year of publications, type of publication, based on keywords and available information concerning the papers. Deeper analysis was performed on available full texts of the papers. The main goal of this paper was to assess how much the specified problem is discussed in literature in the context of production organizations and real-time and what kind of topics are present in publications to indicate future research needs.

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“…With the rapid development of the intelligent manufacturing industry, there are also some problems. For example, intelligent manufacturing is still in the early stage [ 2 ]. And Li et al (2019) regarded that the development of the intelligent manufacturing industry needs to absorb and train talents to build core competitiveness and ensure the intelligent process from the level of knowledge and technology [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Research on capital allocation efficiencies with four-dimensional factor capitals from China’s intelligent manufacturing enterprises

et al. 2022

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Compared with traditional manufacturing enterprises, intelligent manufacturing enterprises pay more attention to the investment of knowledge capital and technological capital. Taking 258 intelligent manufacturing listed companies in China from 2015 to 2020 as research samples, the paper selects the material capital, human capital, knowledge capital and technological capital of enterprises as the input variables of Cobb-Douglas production function. Considering that enterprises are often affected by spatial correlation, stochastic frontier panel model, spatial lag stochastic frontier panel model and dynamic spatial lag stochastic frontier panel model are constructed to measure capital allocation efficiencies of enterprises. The results show that all the factor capitals in the three models have a significant positive impact on enterprises’ performance, and the dual lag effect of time and space is significant. Moreover, it is more reasonable to use the dynamic spatial lag stochastic frontier panel model to estimate the parameters and measure capital allocation efficiencies. The development of intelligent manufacturing industry has significant space-time spillover effect among provinces. About 52.98% of intelligent manufacturing enterprises have high capital allocation efficiencies, but 12.04% still need to further optimize capital allocation. The gap between the actual performance of the sample enterprises and efficiency frontier is mainly due to technical ineffectiveness. From a regional perspective, the top ten enterprises with high capital allocation efficiencies are all in the eastern region, but the average of capital allocation efficiency is the highest in the western region, followed by the eastern and central regions.

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Research hotspots and tendency of intelligent manufacturing

Cited by 12 publications

References 15 publications

Development Practice and Breakthrough Path of China's Intelligent Manufacturing

Development Practice and Breakthrough Path of China's Intelligent Manufacturing

Towards Digital Twins Development and Implementation to Support Sustainability – Systematic Literature Review

Research on capital allocation efficiencies with four-dimensional factor capitals from China’s intelligent manufacturing enterprises

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