Data acquisition
point cloud and replace them with 100% accurate 3D models of these robots. The robots can then be moved, reprogrammed and tested virtually to ensure optimum performance before the physical line or plant is set up. This can save significant time and cost.
4. AI-DRIVEN INVENTORY MANAGEMENT Effective inventory management is a delicate balance. Too much stock ties up capital and increases storage costs, while too little risks production delays and lost sales. AI is revolutionising this area by providing highly accurate demand forecasting. Machine learning algorithms analyse historical sales data, market trends, supply chain disruptions and even weather patterns to predict future demand with remarkable precision.
This allows companies to optimise their stock levels and supply plans, ensuring they have the right parts and products at the right time. AI-powered systems can also automate the reordering process, triggering purchase orders based on a combination of stock levels, production activity and demand plans. The result is a leaner, more responsive supply chain that minimises waste, reduces carrying costs and improves cash flow.
5. ENERGY CONSUMPTION OPTIMISATION Energy is one of the largest operational costs for many manufacturers. AI offers a powerful tool for reducing this expense and improving sustainability. By analysing data from plant-wide sensors, AI systems can build a comprehensive model of a facility’s energy usage. This model can identify equipment, processes and times of day that consume the most power.
With this insight, machine learning algorithms can recommend or even automate adjustments to optimise energy consumption. This could involve shutting down non-essential machinery during periods of low production, adjusting HVAC systems based on real-time occupancy and weather conditions, or optimising machine settings to run at their most energy-efficient levels. These incremental improvements can lead to substantial cost savings and a significant reduction in a company’s carbon footprint.
THE FUTURE OF MANUFACTURING IS INTELLIGENT
The integration of artificial intelligence is not a distant concept; it is a present-day reality that is delivering tangible benefits. From predictive maintenance that eliminates downtime to intelligent robotics that enhance human capabilities, AI is fostering a new era of industrial productivity. Companies that embrace these technologies are building more efficient, resilient, and sustainable operations. As AI continues to evolve, its capacity to innovate and optimise will further solidify its role as a cornerstone of modern manufacturing.
DELMIA
www.3ds.com/products/delmia Instrumentation Monthly March 2026 55
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