IDEAS home Printed from https://ideas.repec.org/r/eee/appene/v326y2022ics0306261922012430.html
   My bibliography  Save this item

Digital twin and big data-driven sustainable smart manufacturing based on information management systems for energy-intensive industries

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Jing, Peng & Li, Shuohan & Wang, Minglu, 2025. "Digital empowerment, industry chain integration and corporate energy efficiency," Energy Economics, Elsevier, vol. 145(C).
  2. Ghadeer Alsanie, 2025. "Investigating the Impact of Digitalization on Resource Use, Energy Use, and Waste Reduction Towards Sustainability: Considering Environmental Awareness as a Moderator," Sustainability, MDPI, vol. 17(9), pages 1-37, April.
  3. Ma, Shuaiyin & Huang, Yuming & Liu, Yang & Kong, Xianguang & Yin, Lei & Chen, Gaige, 2023. "Edge-cloud cooperation-driven smart and sustainable production for energy-intensive manufacturing industries," Applied Energy, Elsevier, vol. 337(C).
  4. Marcin Relich, 2023. "Predictive and Prescriptive Analytics in Identifying Opportunities for Improving Sustainable Manufacturing," Sustainability, MDPI, vol. 15(9), pages 1-14, May.
  5. Taghizadeh-Hesary, Farhad & Dong, Kangyin & Zhao, Congyu & Phoumin, Han, 2023. "Can financial and economic means accelerate renewable energy growth in the climate change era? The case of China," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 730-743.
  6. Marcin Relich, 2023. "A Data-Driven Approach for Improving Sustainable Product Development," Sustainability, MDPI, vol. 15(8), pages 1-18, April.
  7. Zain Anwar Ali & Mahreen Zain & Raza Hasan & Hussain Al Salman & Bader Fahad Alkhamees & Faisal Abdulaziz Almisned, 2025. "Circular Economy Advances with Artificial Intelligence and Digital Twin: Multiple-Case Study of Chinese Industries in Agriculture," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(1), pages 2192-2228, March.
  8. Larisa Vazhenina & Elena Magaril & Igor Mayburov, 2023. "Digital Management of Resource Efficiency of Fuel and Energy Companies in a Circular Economy," Energies, MDPI, vol. 16(8), pages 1-21, April.
  9. Cagno, Enrico & Accordini, Davide & Thollander, Patrik & Andrei, Mariana & Hasan, A S M Monjurul & Pessina, Sonia & Trianni, Andrea, 2025. "Energy management and industry 4.0: Analysis of the enabling effects of digitalization on the implementation of energy management practices," Applied Energy, Elsevier, vol. 390(C).
  10. Ying Peng & Xinyue Wang & Weilong Gao, 2025. "The Impact of Data Element Marketization on Green Total Factor Energy Efficiency: Empirical Evidence from China," Sustainability, MDPI, vol. 17(9), pages 1-25, May.
  11. Emma Verónica Ramos Farroñán & Danny Alonso Lizarzaburu Aguinaga & Luis Edgardo Cruz Salinas & Gary Christiam Farfán Chilicaus & Mabel Ysabel Otiniano León & Francisco Segundo Mogollón García & Celin , 2025. "Organizational Strategies for Energy Sustainability: Systematic Review of the Literature Spanning 2020–2024," Sustainability, MDPI, vol. 17(12), pages 1-35, June.
  12. Yunshandan Wu & Wenfu Wu & Kai Chen & Ji Zhang & Zhe Liu & Yaqiu Zhang, 2023. "Progress and Prospective in the Development of Stored Grain Ecosystems in China: From Composition, Structure, and Smart Construction to Wisdom Methodology," Agriculture, MDPI, vol. 13(9), pages 1-13, August.
  13. Oksana Kiseleva & Anna Firsova & Alla Vavilina, 2025. "Integration of Artificial Intelligence Technologies into Design-Thinking Processes in the Development of Managerial Decisions as a Factor of Enterprise Sustainable Development," Sustainability, MDPI, vol. 17(10), pages 1-32, May.
  14. Seyed Mohammad Mehdi Sajadieh & Sang Do Noh, 2025. "A Review of Digital Twin Integration in Circular Manufacturing for Sustainable Industry Transition," Sustainability, MDPI, vol. 17(16), pages 1-49, August.
  15. Wang, Jiayang & Wang, Qiang & Sun, Wenqiang, 2023. "Quantifying flexibility provisions of the ladle furnace refining process as cuttable loads in the iron and steel industry," Applied Energy, Elsevier, vol. 342(C).
  16. Morgan Alamandi, 2025. "Sustainable Innovation Management: Balancing Economic Growth and Environmental Responsibility," Sustainability, MDPI, vol. 17(10), pages 1-31, May.
  17. Lv, Zhihan & Cheng, Chen & Lv, Haibin, 2023. "Digital twins for secure thermal energy storage in building," Applied Energy, Elsevier, vol. 338(C).
  18. Ma, Shuaiyin & Huang, Yuming & Liu, Yang & Liu, Haizhou & Chen, Yanping & Wang, Jin & Xu, Jun, 2023. "Big data-driven correlation analysis based on clustering for energy-intensive manufacturing industries," Applied Energy, Elsevier, vol. 349(C).
  19. Andrés Fernández-Miguel & Davide Settembre-Blundo & Marco Vacchi & Fernando E. García-Muiña, 2025. "Thermoeconomics Meets Business Science: Systemic Exergy Management (SYMΞX) as a New Theoretical and Flexible Framework for Sustainability," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 26(1), pages 111-139, March.
  20. Tsega Y. Melesse & Mohamed Shameer Peer & Suganthi Ramasamy & Vigneselvan Sivasubramaniyam & Mattia Braggio & Pier Francesco Orrù, 2025. "Digital Twin for Energy-Intelligent Bakery Operations: Concepts and Applications," Energies, MDPI, vol. 18(14), pages 1-18, July.
  21. Yuk Ming Tang & Ka Yin Chau & Wei Ting Kuo & Xiao Xiao Liu, 2024. "IoT-Based Information System on Cold-Chain Logistics Service Quality (ICCLSQ) Management in Logistics 4.0," Information Systems Frontiers, Springer, vol. 26(2), pages 689-708, April.
  22. Ai, Hongshan & Mangla, Sachin Kumar & Song, Malin & Tan, Xiaoqing & Zhang, Shangfeng, 2024. "Technology-enabled business model innovation and carbon emission reduction: Evidence from a place-based policy in China," Technovation, Elsevier, vol. 134(C).
  23. Huang, Chenchen & Lin, Boqiang, 2025. "The impact of digital economy on energy rebound effect in China: A stochastic energy demand frontier approach," Energy Policy, Elsevier, vol. 196(C).
  24. Hong Wu & Xuewei Wen, 2025. "Research on the Efficiency and Synergistic Effect of Industrial Green Innovation Development in the Beijing–Tianjin–Hebei Urban Agglomeration," Sustainability, MDPI, vol. 17(3), pages 1-28, February.
  25. Song, Houde & Liu, Xiaojing & Song, Meiqi, 2023. "Comparative study of data-driven and model-driven approaches in prediction of nuclear power plants operating parameters," Applied Energy, Elsevier, vol. 341(C).
  26. Cheng, Han & Kong, Xianguang & Wang, Qibin & Ma, Hongbo & Yang, Shengkang & Xu, Kun, 2023. "Remaining useful life prediction combined dynamic model with transfer learning under insufficient degradation data," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.