A comprehensive literature review of the applications of AI techniques through the lifecycle of industrial equipment
Tampere University · Universidade de Vigo
Abstract
Abstract Driven by the ongoing migration towards Industry 4.0, the increasing adoption of artificial intelligence (AI) has empowered smart manufacturing and digital transformation. AI enhances the migration towards industry 4.0 through AI-based decision-making by analyzing real-time data to optimize different processes such as production planning, predictive maintenance, quality control etc., thus guaranteeing reduced costs, high precision, efficiency and accuracy. This paper explores AI-driven smart manufacturing, revolutionizing traditional approaches and unlocking new possibilities throughout the major phases of the industrial equipment lifecycle. Through a comprehensive review, we delve into a wide range…
Citation impact
- FWCI
- 49.48
- Percentile
- 100%
- References
- 322
Authors
4Topics & keywords
- Computer science
- Control (management)
- Process (computing)
- Manufacturing engineering
- Quality (philosophy)
- Big data
- Artificial intelligence
- Engineering