Data-Driven Process Improvement Methods and Results Sharmg

Linwei Wu

European Journal of Business, Economics & Management, 2025, vol. 1, issue 1, 111-117

Abstract: With the continuous advancement of data-driven technology, enterprises are gradually realizing the intelligence and optimization of processes in production and management. This paper deeply discusses the process optimization strategy based on data-driven methods and shares the resulting achievements, analyzes how the Internet of Things and edge computing improve production efficiency, how machine learning and visual recognition enhance quality control, how intelligent energy management reduces energy consumption costs, and how intelligent decision support systems optimize management efficiency. Through the application of these advanced technologies, not only has the production efficiency of enterprises been improved, but costs have also been effectively controlled, promoting the in-depth development of digital transformation.

Keywords: data-driven; Internet of Things; machine learning; intelligent decision-making (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:dba:ejbema:v:1:y:2025:i:1:p:111-117

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