Computer technology enhanced engineering management framework: integrating operations research methods for smart manufacturing optimization
Year: 2026
Type: conference-paper
Abstract: The modern smart manufacturing systems require a paradigm shift in the traditional engineering management methodologies to practices that allow real-time decisions, predictive analytics, as well as adaptive optimization through advanced computer technology integration. The current research paper proposes a new framework of integrated engineering management leveraging cutting-edge computer technology, which combines operations research methods with artificial intelligence algorithms, machine learning systems, and cyber-physical computing platforms to optimize production-systems in smart manufacturing contexts. This computer technology-driven mixed-methods approach incorporated multi-objective optimization algorithms, computational queuing theory models, genetic algorithms, and predictive maintenance systems in three pilot manufacturing facilities over a 24-week implementation. The IoT sensors integrated with real-time computer processing systems produced 1.3 million data points every day. Results indicated a 25.9 percent improvement in Overall Equipment Effectiveness through computer-optimized processes, a 32.7 percent cut down in operational costs through automated computational decision-making, a 29.9 percent decrease in carbon footprint through intelligent computer-controlled resource management, and a 22.7 percent increase in Human Performance Index (all, p < 0.001). The financial analysis showed that the Internal Rate of Return was 34.2 percent with a payback period of 18.3 months.
Author: Jiayu Wu
Institution: City University of Macau
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7204174409