Digital twin integration and sustainability outcomes: evidence from Huawei’s transformation journey (2008–2024)
DOI:
https://doi.org/10.61154/rue.v12i4.4227Palabras clave:
Digital Twin, Sustainability, Environmental Performance, Huawei, Digital TransformationResumen
This study aimed to determine how the transition to the Digital Twin (DT) model has significantly affected sustainability from 2008 to 2024 at Huawei Technologies. The measurable impact of DT systems on green packaging, waste to landfill, and water consumption was thoroughly assessed through statistical evaluation using dummy-variable regression and independent samples T-test in a comprehensive mixed-methods approach. Significant observable changes in the efficacy of eco-friendly packaging and waste reduction associated with DT were evident after 2015, when real-time monitoring, simulation, and predictive analytics were applied. Water consumption also noticeably increased after the advent of DT, although increased transparency and scale may have also contributed. The findings are in line with relevant literature on ecological innovation through DT and support digital technology's role in advancing corporate environmental performance. The contributions further widen the scope of discussions on digital sustainability while highlighting DTs as strategic tools toward measurable and impactful environmental gains.Descargas
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Al Maawali, K. M., & Al Fahdi, K. K. (2022). How to Build a Digital Twin with Strong Justification & Return of Investment: Case Study from OQ Oman (SPE Paper 210991-MS). Proceedings of the 22nd ADIPEC Conference. Abu Dhabi, UAE. https://doi.org/10.2118/210991-ms
Al-Shetwi, A. Q., Atawi, I. E., El-Hameed, M. A., & Abuelrub, A. (2025). Digital twin technology for renewable energy, smart grids, energy storage and vehicle-to-grid integration: Advancements, applications, key players, challenges and future perspectives in modernising sustainable grids. IET Smart Grid, 8(1), e70026. https://doi.org/10.1049/stg2.70026
Bányai, K., & Kovács, L. (2023). Identification of influence of digital twin technologies on production systems: a return on investment-based approach. Eastern-European Journal of Enterprise Technologies, 4(13), 66–78. https://doi.org/10.15587/1729-4061.2023.283876
Bassey, K. E., Opoku-Boateng, J., Antwi, B. O., & Ntiakoh, A. (2024). Economic impact of digital twins on renewable energy investments. Engineering Science & Technology Journal, 5(7), 2232–2247. https://doi.org/10.51594/estj.v5i7.1318
Diodato, D., Huergo, E., Moncada-Paternò-Castello, P., Rentocchini, F., & Timmermans, B. (2023). Introduction to the special issue on “the twin (digital and green) transition: handling the economic and social challenges.” Industry and Innovation, 30(7), 755–765. https://doi.org/10.1080/13662716.2023.2254272
Edrisi, F., & Azari, M. S. (2023). Digital Twin for Sustainability Assessment and Policy Evaluation: A Systematic Literature Review. 2023 IEEE/ACM 7th International Workshop on Green and Sustainable Software (GREENS), Melbourne, Australia. https://doi.org/10.1109/greens59328.2023.00007
Enyejo, J. O., Fajana, O. P., Jok, I. S., Ihejirika, C. J., Awotiwon, B. O., & Olola, T. M. (2024). Digital Twin Technology, Predictive Analytics, and Sustainable Project Management in Global Supply Chains for Risk Mitigation, Optimization, and Carbon Footprint Reduction through Green Initiatives. International Journal of Innovative Science and Research Technology, 9(11), 609-630. https://doi.org/10.38124/ijisrt/ijisrt24nov1344
Eslahi, M., Farazdaghi, E., Meouche, R.E. (2024). Towards Digital Twins in Sustainable Construction: Feasibility and Challenges. In: Ben Ahmed, M., Boudhir, A.A., El Meouche, R., Karaș, İ.R. (eds) Innovations in Smart Cities Applications Volume 7. SCA 2023. Lecture Notes in Networks and Systems. (Vol 938). Springer, Cham. https://doi.org/10.1007/978-3-031-54376-0_18
Figueiredo, K., Hammad, A. W. A., Pierott, R., Tam, V. W. Y., & Haddad, A. (2024). Integrating Digital Twin and Blockchain for dynamic building Life Cycle Sustainability Assessment. Journal of Building Engineering, 97(111018). https://doi.org/10.1016/j.jobe.2024.111018
Garske, B., Holz, W., & Ekardt, F. (2024). Digital twins in sustainable transition: exploring the role of EU data governance. Frontiers in Research Metrics and Analytics, 9. https://doi.org/10.3389/frma.2024.1303024
Gerstlberger, W., & Prause, G. (2024). The twin challenge of sustainability and digital transformation. Scientific Papers, 32(2), 2137. https://doi.org/10.46585/sp32022137
Huawei Technologies Co., Ltd. (2015–2024). Sustainability reports 2015–2024. https://www.huawei.com/en/sustainability/sustainability-report
Khajavi, S. H., Motlagh, N. H., Jaribion, A., Werner, L. C. & Holmström, J. (2019). Digital twin: Vision, benefits, boundaries, and creation for buildings. IEEE Access, 7, 147406-147419. https://doi.org/10.1016/j.compind.2020.103293
Kineber, A. F., Singh, A. K., Fazeli, A., Mohandes, S. R., Cheung, C., Arashpour, M., Ejohwomu, O., Zayed, T. (2023). Modelling the Relationship Between Digital Twins Implementation Barriers and Sustainability Pillars. Insights from building and construction sector. Sustainable Cities and Society, 99, 104930. https://doi.org/10.1016/j.scs.2023.104930
Maheshwari, P., Kamble, S., Belhadi, A., Mani, V., & Pundir, A. (2023). Digital twin implementation for performance improvement in process industries- A case study of food processing company. International Journal of Production Research, 61(23), 8343–8365. https://doi.org/10.1080/00207543.2022.2104181
Malik, A. A. (2024). The Economic Impact of Digital Twin Technology on Manufacturing Systems. Proceedings of the 2024 Winter Simulation Conference (WSC). Orlando, USA. https://doi.org/10.1109/wsc63780.2024.10838771
Meng, X., Das, S., & Meng, J. (2023). Integration of Digital Twin and Circular Economy in the Construction Industry. Sustaintability, 15(17), 13186. https://doi.org/10.3390/su151713186
Piras, G., Muzi, F., & Tiburcio, V. A. (2024). Digital Management Methodology for Building Production Optimization through Digital Twin and Artificial Intelligence Integration. Buildings, 14(7), 2110. https://doi.org/10.3390/buildings14072110
Pires, F., Souza, M., Ahmad, B., & Leitão, P. (2021). Decision Support Based on Digital Twin Simulation: A Case Study. Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future. Springer Cham. https://doi.org/10.1007/978-3-030-69373-2_6
Pomè, A. P., & Signorini, M. (2023). Real time facility management: Assessing the effectiveness of Digital Twin in the Operation and Maintenance phase of building life cycle. IOP Conference Series: Earth and Environmental Science, 1176(1), 012003. https://doi.org/10.1088/1755-1315/1176/1/012003
Saini, K. K., Sharma, P., Mathur, H. D., & Siguerdidjane, H. (2022). Digital Twin of a Commercial Building Microgrid: Economic & Environmental Sustainability Analysis. Proceedings of the 2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), New Delhi, India. https://doi.org/10.1109/PIICON56320.2022.10045142
Singh, G. P., Singh, S., Daultani, Y., Daultani, Y., & Chouhan, M. (2023). Measuring the influence of digital twins on the sustainability of manufacturing supply chain: A mediating role of supply chain resilience and performance. Computers & Industrial Engineering, 186, 109711. https://doi.org/10.1016/j.cie.2023.109711
Svadkovsky, V. A. (2023). The use of digital twins to improve the operational efficiency in the extractive industries. Strategic decisions and risk management, 14(3), 292-311. https://doi.org/10.17747/2618-947x-2023-3-292-311
Trienens, M., Rasor, R., Kharatyan, A., Dumitrescu, R., & Anacker, H. (2024). Digital twins to increase sustainability throughout the system life cycle: a systematic literature review, 4, 2277-2286. https://doi.org/10.1017/pds.2024.230
Ünal, A., Albayrak, Ö., & Ünal, P. (2023). Impact of Digital Twin Technology Utilization in Manufacturing on Sustainability: An Industrial Case Study. Portland International Conference on Management of Engineering and Technology (PICMET), Monterrey, Mexico. https://doi.org/10.23919/picmet59654.2023.10216885
Xu, B., Wang, J., Wang, X., Liang, Z., Cui, L., Liu, X., & Ku, A. Y. (2019). A case study of digital-twin-modelling analysis on power-plant-performance optimizations. Clean Energy, 3(3), 227-234. https://doi.org/10.1093/CE/ZKZ025
Yakovenko, Y., & Shaptala, R. (2024). Study of digital twins as the driving force of digital transformation and achieving the goals of sustainable development. Technology Audit and Production Reserves, 2(4(76)), 11–20. https://doi.org/10.15587/2706-5448.2024.301423
Zhang, J., & Jiang, S. (2024). Digital twin for sustainable development in building automation. Engineering, Construction and Architectural Management. https://doi.org/10.1108/ecam-08-2024-1024
Zhang, Y., Lau, L., Yanchus, P., Forootan, Z., & Marfatia, Z. (2024). Enhancing Efficiency and Sustainability in Offshore Oil and Gas Operations through Digital Twin and AI Technology: A Practitioner’s View. ADIPEC, Abu Dhabi, UAE. https://doi.org/10.2118/221957-ms
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