3DS Blog

Energy costs are no longer a background variable in manufacturing economics. For many industrial operators, they have become the single largest swing factor in margin performance, investment decisions and competitive positioning. What has changed is not just the price level but the speed and unpredictability of the moves. Planning cycles built on stable energy assumptions are now liabilities.

Modern manufacturers need faster throughput, fewer errors and smoother handling of engineering changes. A connected CAD to CAM workflow built on digital continuity helps close the gap between design and manufacturing by keeping product data, intent and revisions aligned from CAD through CAM programming and NC output.

Ask any shop where the time really goes and you will hear the same answer: it is not the cutting that slows things down, it is the programming. NC programmers spend hours interpreting part geometry, choosing operations, selecting tools, setting parameters and checking every decision against standards that often live only in their heads. LEO helps take that burden off their plate.

Engineering is entering a new era. As products become increasingly connected, software-defined and multidisciplinary, organizations must manage unprecedented complexity while accelerating innovation. Industrial AI represents the next evolution of engineering—not simply by adding AI capabilities to existing tools, but by introducing a new way of working where humans and AI collaborate throughout the product lifecycle.

India is at a defining moment in its growth journey. Rapid urbanization, expanding infrastructure, evolving healthcare needs, and increasing global competitiveness are pushing industries to rethink how they design, build, and operate. At the heart of this transformation lies innovation – not as a buzzword, but as a continuous, strategic capability.

Ir. Habibi Husain Arifin, APSOUTH (ANZ and ASEAN) Defence Industry Process Consultant Senior Manager, Dassault Systèmes As industries embrace Digital Engineering and Model-Based Systems Engineering (MBSE), the greatest challenge is not only about adopting technology, but also developing engineers with the skills to apply these approaches at scale.

Railway performance is rarely constrained by a single decision. Capacity is not determined solely by infrastructure. Fleet availability is not determined solely by maintenance. Service reliability is not determined solely by operations planning. Instead, railways operate as interconnected systems where infrastructure capacity, rolling stock design, manufacturing readiness, maintenance execution and operational planning continuously influence one another.

I have sat through enough tool pitches to manufacturing engineers to know the usual fate: a polite nod, then quiet neglect. Engineers are busy and skeptical, so they guard how they work for good reason. When I tell you LEO is worth your attention, I want to make the case plainly. This is with the numbers we are seeing and without the launch-day noise. LEO is one of the AI virtual companions Dassault Systèmes has built into the 3DEXPERIENCE platform.

Aerospace machining leaves no room for guesswork. A single actuator destined for a commercial aircraft passes through dozens of precise operations, tight tolerances and rigorous quality checks before it ever takes flight. For Orizio Group, getting that process right means connecting design, engineering and the shop floor on one digital foundation. Miguel Laduron, Chief Information Officer of Orizio Group describes the group’s approach in three words: digitally driven, human centric.

Drug discovery has a scale problem. The demand for new therapeutics continues to grow. Researchers are expected to evaluate more targets, explore larger chemical spaces and move promising candidates into the clinic faster than before. At the same time, pharma and biotech face increasing pressure to reduce costs, improve success rates and make better use of resources.