Data-driven sustainable intelligent manufacturing based on demand response for energy-intensive industries

Ma, Shuaiyin; Zhang, Yingfeng; Liu, Yang; Yang, Haidong; Lv, Jingxiang; Ren, Shengnan

doi:10.1016/j.jclepro.2020.123155

Cited by 150 publications

(71 citation statements)

References 61 publications

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“…The authors recommended focusing on tangible resources, workforce skills, Big data analytics, and artificial intelligence to enhance sustainable manufacturing practices and CE capabilities. Ma et al (2020) proposed a data-driven framework for smart and sustainable manufacturing for industries. The study develops a multi-level model for demand response to reduce energy costs.…”

Section: Smart and Sustainable Manufacturingmentioning

confidence: 99%

Nexus of circular economy and sustainable business performance in the era of digitalization

Agrawal

Wankhede

Kumar

et al. 2021

IJPPM

177

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PurposeThis study aims to conduct a comprehensive review and network-based analysis by exploring future research directions in the nexus of circular economy (CE) and sustainable business performance (SBP) in the context of digitalization.Design/methodology/approachA systematic literature review methodology was adopted to present the review in the field of CE and SBP in the era of digitalization. WOS and SCOPUS databases were considered in the study to identify and select the articles. The bibliometric study was carried out to analyze the significant contributions made by authors, various journal sources, countries and different universities in the field of CE and SBP in the era of digitalization. Further, network analysis is carried out to analyze the collaboration among authors from different countries.FindingsThe study revealed that digitalization could be a great help in developing sustainable circular products. Moreover, the customers' involvement is necessary for creating innovative sustainable circular products using digitalization. A move toward the product-service system was suggested to accelerate the transformation toward CE and digitalization.Originality/valueThe paper discusses digitalization and CE practices' adoption to enhance the SP of the firms. This work's unique contribution is the systematic literature analysis and bibliometric study to explore future research directions in the nexus of CE and SP in the context of digitalization. The present study has been one of the first efforts to examine the literature of CE and SBP integration from a digitalization perspective along with bibliometric analysis.

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Section: Smart and Sustainable Manufacturingmentioning

confidence: 99%

Nexus of circular economy and sustainable business performance in the era of digitalization

Agrawal

Wankhede

Kumar

et al. 2021

IJPPM

177

View full text Add to dashboard Cite

show abstract

“…In order to maintain the normal production and operation activities of the enterprise, the enterprise will perhaps not invest a large amount of working capital in the process of intelligent transformation. The development of the financial industry can effectively disperse the risks of enterprises to ensure that enterprises have enough working capital to meet their daily needs and can obtain financial support to purchase intelligent equipment, so as to promote the intelligent transformation of enterprises [36,37]. The level of opening-up has a significant positive influence on the level of intelligentization in the manufacturing industry.…”

Section: Empirical Results Analysismentioning

confidence: 99%

An Evaluation of the Yangtze River Economic Belt Manufacturing Industry Level of Intelligentization and Influencing Factors: Evidence from China

2021

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Over recent decades, the application of artificial intelligence methods in manufacturing has led to new spheres of research such as the Internet of Things, Cyber–Physical Systems, and Cloud Computing and Big Data, leading to the so-called Industry 4.0. However, to date, little research has been geared towards assessing the factors that influence intelligent manufacturing on a regional scale. Addressing this problem, this paper constructs an evaluation index system for the Yangtze River Economic Belt (YREB) intelligent manufacturing sector using eleven years (2008–2018) of provincial panel data. The entropy method is applied to three evaluation criteria, namely intelligent innovation, equipment, and profit, to construct an evaluation index system. An analysis of the results revealed that the level intelligentization of the manufacturing industry of the YREB increases yearly, and that intelligent innovations are notably occurring at a faster rate than profits. Disproportional enterprise returns on investment have occurred, which decreases enterprise motivation to be innovative in the first place. Additionally, it was also observed that FDI, financial development, government intervention, and the level of opening-up were the primary factors modulating regional intelligent manufacturing levels.

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“…Shuaiyin Ma, Yingfeng Zhang Yang Liu, Haidong Yang, Jingxiang Lv and Shan Ren [7] argue that the circular economy plays an important role in energyintensive industries, since it is aimed at sustainable development of society. Scientists believe that in the context of Industry 4.0, advanced technologies (e.g., cloud computing, Internet of things, cyber-physical system, digital twin and big data analytics) provide numerous opportunities for implementing cleaner production strategies and developing smart manufacturing.…”

Section: Literature Reviewmentioning

confidence: 99%

Efficient use of energy resources in the context of sustainable development of the pulp and paper industry of Ukraine

et al. 2021

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The article is devoted to the problem of increasing the efficiency of using energy resources of enterprises of the pulp and paper industry in Ukraine. It has been determined that the pulp and paper industry belongs to energy-intensive types of economic activity. Based on the results of the correlation and regression analysis, a connection was revealed and an economic and mathematical model was formed of the dependence of energy costs for the production of 1 ton of paper on the productivity of paper machines, equipment wear and the volume of investments in energy saving measures. Application of the proposed model will improve information support for the analysis of the effectiveness of energy saving measures, forecasting energy costs and strategic energy management in general. It was carried out at pulp and paper mills, the main obstacles to replacing fossil fuels with biomass in heat production were identified. This made it possible to develop a scientific and organizational model for the energy modernization of enterprises in the pulp and paper industry. It includes financial, organizational, environmental, regulatory, technological, scientific and educational tools. Their application at management will help improve the infrastructure of enterprises in terms of the use of renewable energy resources.

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Data-driven sustainable intelligent manufacturing based on demand response for energy-intensive industries

Cited by 150 publications

References 61 publications

Nexus of circular economy and sustainable business performance in the era of digitalization

Nexus of circular economy and sustainable business performance in the era of digitalization

An Evaluation of the Yangtze River Economic Belt Manufacturing Industry Level of Intelligentization and Influencing Factors: Evidence from China

Efficient use of energy resources in the context of sustainable development of the pulp and paper industry of Ukraine

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