Green Supply Chain Driven by Digital Intelligence: The Case of Schneider
DOI:
https://doi.org/10.54691/bcpbm.v34i.3169Keywords:
Digital intelligence; Green supply chain; Schneider Electric.Abstract
Digital intelligence strengthens the green supply chain in an environment where businesses steadily strive environmental and eco-friendliness. It helps the environment achieve its goals of low energy use and zero carbon emissions. With Schneider Electric's digital intelligence transformation as an example, this study attempts to analyze the effects of digital intelligence transformation on businesses’ green supply chains. This study uses the case study method as the primary research method, analyzes several papers in this direction and the official information released by Schneider Electric, and finally concludes that the digital intelligence transformation of the supply chain has had a positive impact on four aspects of the enterprise’s green supply chain: design services, production management, transportation optimization, and energy saving, which will provide a reference for the digital intelligence transformation of enterprises in this industry.
Downloads
References
Mishra D, Gunasekaran A, Papadopoulos T, et al. Big Data and supply chain management: a review and bibliometric analysis. Annals of Operations Research, 2018, 270(1): 313-336.
Dubey R, Gunasekaran A, Childe S J, et al. Big data analytics and artificial intelligence pathway to operational performance under entrepreneurial orientation and environmental dynamism: A study of manufacturing organizations. International Journal of Production Economics, 2020, 226: 107599.
Dubey R, Gunasekaran A, Childe S J, et al. Towards a theory of sustainable consumption and production: Constructs and measurement. Resources, Conservation and Recycling, 2016, 106: 78-89.
Gupta S, Chen H, Hazen B T, et al. Circular economy and big data analytics: A stakeholder perspective. Technological Forecasting and Social Change, 2019, 144: 466-474.
Queiroz M M, Pereira S C F, Telles R, et al. Industry 4.0 and digital supply chain capabilities: A framework for understanding digitalization challenges and opportunities. Benchmarking: an international journal, 2019.
Fatorachian H, Kazemi H. Impact of Industry 4.0 on supply chain performance. Production Planning & Control, 2021, 32(1): 63-81.
Li X X, He Z, Li W D. A cloud-terminal-based cyber-physical system architecture for optimizing energy-efficient machining. Journal of Ambient Intelligence and Humanized Computing, 2019, 10(3): 1049-1064.
Li G, Li L, Choi T M, et al. Green supply chain management in Chinese firms: Innovative measures and the moderating role of quick response technology. Journal of Operations Management, 2020, 66(7-8): 958-988.
Hong J, Zheng R, Deng H, et al. Green supply chain collaborative innovation, absorptive capacity and innovation performance: Evidence from China. Journal of Cleaner Production, 2019, 241: 118377.
Zhang X, Yu Y, Zhang N. Sustainable supply chain management under big data: A bibliometric analysis. Journal of Enterprise Information Management, 2020.
Cui Xiumei,Wang Jiahui. Green supply chain path reconstruction based on data intelligence. Green Accounting, 2021(04): 50-54.
Jiang Hong. Schneider Electric: Upgrading digital intelligence to promote green and intelligent manufacturing-Interview with Zhang Kaipeng, Senior Vice President of Schneider Electric Global Supply Chain China. Logistics Technology and Application, 2022, 27(2): 92-95.
Downloads
Published
Issue
Section
How to Cite
