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As a result of the industry's inability to meet societal demand, Industry 4.0 was launched in the last decade years. To close the gap, the academic and industrial sectors are pursuing revolution. One strategy for moving forward is digital transformation, and the digital twin is the technology that best exemplifies this strategy by upending conventional industrial processes and functions. This paper will help audiences who lack expert knowledge of digital twins to swiftly evaluate and comprehend research advancements in academia and industry. It will cover the background, features, and implementation of the digital twin in five main sectors. The case study used in this paper is Qinghai Meadow in China, which uses the intended network to explain how digital twins have developed in the husbandry sector. At the end of the study, issues are also illustrated from two perspectives that aid in identifying gaps in the subject. [ABSTRACT FROM AUTHOR]

Urban industrial intelligence (ININ) has been given great impetus to in China because it may boost urban high-quality development (HQD), which does not overlook the "quality" and "quantity" of development but focuses on the results and benefits of growth in multiple dimensions, including economic development, social equity, and the ecological environment. Three factors are suggested to explain the phenomenon: green innovation, market potential, and industrial pollution. Spatial correlations between ININ and HQD are also worthy to be detected for further strategic policy implications. On the basis of a panel of 278 Chinese cities from 2009 to 2020, this paper focuses on how ININ contributes to HQD, in hopes of advancing the process of sustainable urban development in China. Our results show that ININ is positively correlated with HQD, and significant and positive influence of ININ spillovers are found, which denotes the possibility and benefits of synergetic city development in China. • Urban industrial intelligence has impacted the high-quality urban development of China. • Urban green innovation, market potential and urban industrial pollution can be the mediating factors. • Strong spatial correlation exists among China's urban high-quality development. • A policy spillover effect of industrial intelligence on high-quality development exists. [ABSTRACT FROM AUTHOR]

• A data-driven cleaner production strategy is proposed for energy-intensive industries. • The data-driven strategy is explained by the cleaner production data lifecycle. • The implementation models are developed to illustrate the proposed strategy. • The effectiveness of the proposed strategy is discussed for companies in China. Cleaner production is an effective strategy for improving material utilization, reducing energy consumption, maximizing product output, and minimizing emissions during the entire manufacturing processes. An increasing number of enterprises promote the implementation of cleaner production. In the Industry 4.0 context, product-embedded information devices are widely used to capture product lifecycle data. Product lifecycle management provides an opportunity to achieve cleaner production strategy. This paper presents a data-driven cleaner production strategy by product lifecycle management for energy-intensive manufacturing industries. The data-driven strategy is proposed and explained by the lifecycle of cleaner production data. Implementation models are developed to illustrate the proposed data-driven cleaner production strategy. Furthermore, two case studies from Southern and Northern China are presented to demonstrate the strategy. Results show that the unit energy consumption and the energy cost of production in Company A are reduced by at least 3% after applying the proposed strategy. In addition, the "cradle-to-gate" lifecycle data analysis indicates that the costs of environmental pollution in Company B are diminished significantly. Finally, energy-intensive manufacturing companies in China are compared and evaluated, and the effectiveness of the proposed strategy is discussed. [ABSTRACT FROM AUTHOR]

The COVID-19 outbreak has led to a substantial loss of human life throughout the world and has a tremendous impact on healthcare services. Industry 4.0 technologies have established effective supply chain management towards the fulfillment of customized demands in the healthcare field. In addition, the internet of things, artificial intelligence, big data analytics, and 3D printing have been extensively used to combat the COVID-19 pandemic and assist in providing value-added services in the healthcare sector. Henceforth, this paper presents a scientometric analysis on the literature of aforementioned Industry 4.0 technologies in the context of COVID-19. It provides extensive insights into co-citation and co-occurrence analysis of high cited publications, participating countries, influential authors, prolific journals, and keywords using the CiteSpace tool. The analyses reveal that China has produced the highest research outputs, although India is the most collaborative country in this field. The current research hotspots include supply chain, 4D printing, and social distancing technologies. Furthermore, it explores emerging trends, intellectual structure of publications, research frontiers, and potential research directions for further work in the Industry 4.0 assisted healthcare domain. [Display omitted] • Industry 4.0 technologies have emerged in the healthcare domain as an area of growing interest in academia and industry discipline. • Artificial intelligence, big data analytics, internet of things and 3D printing have been extensively used to control the COVID-19 spread and assist in providing value-added services in the healthcare sector. • It explores emerging trends, intellectual structure of publications, and potential research directions for further work in the Industry 4.0 assisted healthcare domain. [ABSTRACT FROM AUTHOR]

Industry 4.0 with its fusion of technologies has brought an unprecedented growth in all sectors. In this paper, we first present the several pillars of Industry 4.0 which have contributed to the advancement of this field. Then, we perform a bibliometric profile of the Industry 4.0 publications in Web of Science by analyzing the publications and citation structure, most referenced publications, most productive and influential authors, organizations and countries. Further, an extensive analysis of the key words is presented along with the citation bursts of top keywords. Various visualizations tools have been to used show relationships between different bibliometric profiles. The individual growth of different research areas over the year is also presented. The results show promising growth of Industry 4.0 as a research area, various collaborative groups have been identified which are working extensively in the growth of the domain, spearheaded by China, however, considerable contribution of developing countries is also there. An abstract analysis is done using K-means clustering and Latent Dirichlet Allocation (LDA) to identify key research themes. [ABSTRACT FROM AUTHOR]

China's Industry 4.0 plan, also known as "Made-in-China 2025″, emphasizes the development of circular economy (CE) to improve the efficiency of resource recycling. The main goal of a CE is to minimize resource input, maximize economic output, and lessen the influence on the natural environment. To achieve the goal of developing CE in the context of Industry 4.0, China's government has issued a series of supporting policies. This paper proposes a closed-loop network data envelopment analysis model to appraise and investigate the performance of China's regional industrial CE systems and provide suggestions for improving industrial CE performance in China. The proposed model takes the recycling of resources in the system into account. Then, the proposed model is employed to analyze the performance of industrial CE systems at the province-level in China. The evidence has reached some key findings. First, the performance of China's industrial CE systems did not change much during the period from 2013 to 2017, but the average efficiency was low. Second, the production efficiency (PE) of each province's industrial CE system was higher than the pollution treatment efficiency (PTE). Third, the development trends of the average PE and average PTE of industrial CE systems are the same, first showing a decrease and then an increase. Fourth, only 10 out of 29 industrial CE systems performed well during the study period; the remaining CE systems need to improve in terms of production efficiency or pollution control efficiency, or both. [Display omitted] [ABSTRACT FROM AUTHOR]

• We provide an overview and factors for the wind turbine industry development. • We identify legal policies as a crucial factor in PR China and Germany. • We present a detailed secondary data analysis of the country-specific systems. • We analyze the patents and companies to understand the factors and global patterns. • We demonstrate our theoretical and managerial contributions. This paper presents the role of global Industry 4.0 technology management in the growth of the wind turbine industry. The article begins with a brief overview of the Industry 4.0 wind turbine industry development, focusing on factors shaping this development. The legal policies are identified as one of the significant factors, especially in PR China and Germany. A detailed secondary data analysis of the country-specific systems is presented, followed by the analysis of patents and companies in both countries to understand better how the development, management and transfer of technology affected the different factors and the global patterns. An effective approach of acquiring technology for local enterprises as well as market development entry mode for the foreign technology holding companies are both identified. Accessing technology through licensing, entering joint ventures, or acquiring knowledge-intensive companies can be identified as common and often successful industry approaches. To develop, obtain, or maintain competitive advantages in the wind turbine industry, we suggest that the governments issue relevant legislation and regulations to support the upgrading of the industry, and the enterprises can access and manage the technology through the approaches mentioned above. [ABSTRACT FROM AUTHOR]